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With the development of dynamic traffic information acquisition and communication technology, as well as the establishment of the traffic information sharing mechanism and the development of related technique, how to carry on the management to the magnanimous transportation data and face the specific application of the specific demand, extracts the related data, becomes the key link of making full use of transportation data. To a great extent, regional road network traffic capacity is restricted in the bottleneck section capacity. Therefore, effective method of bottleneck section recognition is very important. With the theory of information granules, this paper firstly constructs kinds of traffic information granules, then set up the information table based on space and time, and, proposes an algorithm, kinds of information table expresses is discovered by the algorithm. Finally this paper proves that the algorithm is feasible by analyzing an example.

At present, the effect of the metro station construction under the city arteries to the traffic on the ground is becoming a serious problem in big cities like Shanghai. To solve this problem, based on construction experience and research, a new improved method (cover-cut) is put forward and practiced a lot in Shanghai in recent years. In this paper, the cover-cut method is presented. The calculation method about the new type cover-cut construction is also discussed. The summation approach method which ignores the effect of the construction process is widely-used in solving similar problems in China. In fact, the variational load and the partial finished structure is the most crucial stage in the whole construction process; accidents always happened in this course. In this paper, the incremental calculation method which is also named as "step-by-step" approach method is presented. At the end of the paper, a case is discussed and calculated by two methods which showed the difference between the incremental method and the summation method. The discussion showed that the results calculated by the "step-by-step" approach method are more accurate than those which were calculated by the summation method.

Multi-ship collision avoidance is always a hot and difficult issue in marine field. Thereinto, the accurate expression for shipping behavior and intent is key problem, as well as negotiation for collision avoidance. In this paper, a model of decision system for multi-ship collision avoidance is proposed based on Multi Agent System (MAS) on the specialty of opening, distribution, multi-source heterogeneous data, multi-demands and complex function. Hierarchical structure is adapted in the model. The advantage of the model is that communication relation is optimized, resource is retrenched, and manages and control for agents is convenient. In view of problems that in collision avoidance situation, negotiation is based on the optimal of self-benefit, whereas incomplete information for other agents, this paper proposes a Negotiation Algorithm based on debate strategy among MAS, and analyses the complexity of the algorithms.

It's necessary to choose the optimal path in traffic network, and many foreign researchers have done lots of research and improvement. A new method of choosing optimal routing in the network based on ant colony algorithm is presented in this paper. In the process of choosing the best path, Ant Colony Optimization (ACO) will be used to describe and establish a mathematic model so that the ACO's characteristics, like parallelism, positive feedback and collaboration, can be taken advantage to improve the collaboration between different units and find the better solution in shorter time. The improvement in pheromone increment of the basic ACO algorithm in this paper can better solve the optimal path of the transportation system and decrease the complexity of routing choice. Hence, this algorithm creates a new way for solving the problem of optimal routing in the transportation and illustrates the prospects of ACO in traffic assignment.

Rural road is an important part of highway network, and one of the most important infrastructures in rural area. Along with the enlargement of rural road scale, the traffic safety problem is more serious. At present, there are no systematic methods or effective tools to diagnose rural road safety problem. In order to help engineers to fleetly evaluate rural road and put forward improving countermeasures, this paper puts forward a set of rural road traffic safety diagnosis methods and technical process in accordance with the current situation of our country, which can offer technical support to rural traffic safety guarantee and guide the construction, management and maintenance of the rural road. This method firstly analyzes the potential traffic safety problems of rural road, then puts forward rural road traffic safety affecting factors and the classification, and designs a rural road traffic safety diagnosis table suitable for our country. The engineers can apply the diagnosis table to field survey and score according to the significance and severity of the problem. Then rank the affecting factors according to weight in order to get the priority order of the rural road problems to be solved. And offer the improving countermeasures based on the order, applying benefit-cost-ratio to rank and optimize the improving countermeasures. Finally, the paper takes a typical road section in Jiangsu province as example to verify the reliability of the method.

According to the STAR Chart of Pudong Airport, this paper makes a study of approach sequencing in airport terminal area. In reality, air traffic controllers space two aircraft with radar separation before Final Approach, but minimum wake separation on Final Approach. On such practical consideration, the paper builds a model of arriving aircraft with target of minimizing total delays of aircraft. With a prototype implementation of arriving aircraft on realistic data for Pudong Airport during some one hour, MAX-MIN Ant System algorithm is presented to solve the sequencing problem. Then, comparing with the First-Come-First-Served (FCFS), both the total delays and the number of holding aircraft are decreased.

Energy consumption has been the most important part of railway operational costs. This paper discusses the optimization model and heuristic algorithm for a train moving on the uneven rail from one given point to another within scheduled time. As an emphasis, this paper sets up the algorithm of determining the control handle of the locomotive based on train control mechanism and wayside signal. By regulating the target speed of the train, this algorithm can reduce the delay while ensuring the safe and smooth running. Furthermore, if practical performances of the train have some difference with manipulation guidance for locomotive drivers, the algorithm can provide a new one by real-time calculation. At last, an application on a long-haul railway with complicated geometric conditions has been conducted. Average reduction of energy consumption is respectively 5.88% for loaded train and 7.39% for empty stock train after optimization for twenty-four freight trains with practical records.

Including the main factors of people, vehicles and roads, the urban expressway transportation system has many characteristics, such as multi-subject, without uniform organization and self-organization. Also the transportation system has complex and fast-changing disturbance factors. Only by exploring and addressing the regulation of the transportation with the adequate technical means, will it be possible to organize and optimize the existing system, so as to building the harmonious transportation system. Efficient traffic management should be secured by the full and reasonable supporting information. The information of traffic flow attribute, status and characteristic is the basis of the traffic flow optimization methods of the urban road network. Based on the information granules theory, this paper constructs three information granules for traffic flow with basic set and rough set, that is, traffic flow information attribute granules, traffic flow status Information granules and traffic flow characteristic information granules. Then the traffic operation characteristics and regulation on the urban road network are analyzed with the above granules. Finally this paper proposes three kinds of traffic flow optimization methods with the fuzzy control and other related theories.

Under the condition of information, traditional driver's route choice model will be revised and updated, This paper established a model framework of driver's real-time dynamic route choice behaviors based on agent, and studied the realization process of the model in detail. Firstly, the authors established a "driver-vehicle" agent unit, and analyzed the strategic level of its driver behavior module, which included a route searching process and a route choosing process. Then, the authors analyzed driver's real-time dynamic route choose process, established a model framework of driver's real-time dynamic route choice behaviors. At last, the authors studied the realization process of the model, which included prediction and updation method of route travel time before trips and on trips, route transformation judgment and decision-making, and the re-selection process of a new route. In this paper, the authors divided drivers into different types, so the work of this paper could illustrate different drivers' route choice behaviors, and analyze the effect of traffic information on drivers' route choice behaviors.

By means of establishing the continuous elastic 3 layers beam model for track structure with random irregularity of track vertical profile, the vibration equations of the track structure are transformed by Fourier Transform. The vibration displacements in Fourier Transform domain are solved with this transformed equation. Then, the vibration responses of the track structure are obtained by performing Inverse Fast Fourier Transform. This technique is applicable to any complicated dynamics problem of the track structure. Vibration responses of track structure stimulated by several of existing high-speed Electric Multiple Units in China are calculated in this paper. Vibration velocity and acceleration of track structure are obtained by analyzing the displacement. Each sub-structure vibration of track when a train passes by is analyzed. Influences of track irregularity and train velocity on track response are investigated. Some track vibration regularities of high-speed railway are obtained at the end of this paper.

Traffic simulation software has been widely used in transportation planning and traffic design. However, the input parameters diversity and correlation lead to simulation results credibility questionable. In view of this, based on traffic macro-simulation software VISUM, this paper gives evaluation index, criteria and calculation method of traffic simulation. Then, facing the diversity and correlation of input parameters, this paper analyzes the relationship between input parameters and output indexes, as well as impact degree. The conclusions drawn above can help selection and ordering the input parameters based on the different simulation purposes, as well as determine the adjustments range of input parameters according to the simulation output. Finally, take macro traffic simulation of elevated and freeway simulation in Shanghai for instance; the four simulation outputs indexes are analyzed by changing the speed, capacity and impedance value. The validity of the traffic calibration method based on simulation purpose and input parameter contribution is verified.

Through comprehensive analysis of traffic safety of the expressway, the paper raises an evaluation layout index system. On the basis of setting up a grade evaluation standard, the paper adopts membership function and gets a quantized evaluation index of traffic safety of the expressway. Because performance of the common measure that can't be common between different indices, the paper utilizes attribute mathematics to make the indices standardization. According to the variation coefficient the paper determines the weight value of the evaluation index. The comprehensive appraisal model of traffic safety of the expressway is set up by using attribute recognition knowledge. The paper carries out a comprehensive appraisal on the existing expressway safety for one province. The paper validates that the new model is feasible for comprehensive evaluation of the traffic safety of the expressway.

In order to solute train traction calculation problem based on discrete control, the paper builds up a general train traction calculation model. The model includes multi-particle train model and three main operation processes. The processes are train start and acceleration process, adjustment velocity process and stop process. In train start process, traction force is adhesion tractive effort or max current effort. In brake process, brake force is calculated by cars' actual brake-shoes pressure and their friction factors. In brake to stop process, the resistance brake on locomotive is inoperative. The paper chose train's balancing speed as target speed on each railway section and to shift control gears. Energy consumption is deduced by reducing unnecessary brake process. According to these analyses, the train traction calculation program is developed. Tests indicate that the model is effective and reasonable.

Because of the specialty and the danger, the consequences of a dangerous goods transportation accident is apparently more serious than other road accidents. So, it is important to ensure the safety of dangerous good transportation by road. By learning the experience and the theory of internal and external safety evaluation as theoretical reference, by investigating dangerous good transportation enterprises in Sichuan, by analyzing factors which affect the status of safety production of dangerous goods transportation enterprise, and finally by combining with the experts' opinion, the paper constructs a safety evaluation's index system; By using the G1 method and the expert investigation method, the paper confirms the index's weight according to its significance in the index system; Finally, the paper designs the scoring standard for safety evaluation of dangerous goods transportation enterprise by road as a reference for safety evaluation of dangerous goods transportation enterprise by road.

The modular intelligent management information system is an important approach to improve the work efficiency and service satisfaction of the container freight station. Firstly, the paper describes the service framework and business process of the container freight station, as well as the design idea of the modular intelligent management system which includes the developing flow, the overall design scheme, function modules, programming, database design and running of the system. Finally, the paper concludes with the advantages of the practical application of this system and suggests a prospect on the positive significance of the system to the development of information and intelligent technologies in container ports.

This paper provides a new vehicle routing problem based on reducing fuel consumption. That is, the optimization objective of the vehicle routing problem is to minimize the fuel consumption. Then the paper provides this problem's mathematical model and develops a genetic algorithm to solve this NP-hard problem. A numerical example is used to demonstrate the operation validation of the genetic algorithm.

In this paper, the public emergency material reserve storage location problem is studied based on the characteristics of the emergency materials management of the multi-sector decentralized and distributed in the defense period. Under the given modeling assumptions, a p-median synergetic optimal model for the public emergency material reserve storage location is developed. At the end of this paper, a numerical calculation example is given by the greedy dropping heuristic algorithm.

Shanghai Hongqiao Transportation Hub is a large-scale modem and comprehensive transport hub, which assembles several traffic modes. The elevated roads in Hongqiao transportation hub include a lot of complex interchanges in order to meet the requirements of arrival and departure of different traffic modes. In this situation, how to choose optimal path is very important for passengers. Traffic guidance system under such complicated road circumstance would be different from the system under normal urban elevated roads. The paper would look into the discourses of traffic guidance system design under complicated circumstance. Firstly, according to the traffic organization scheme, the elevated roads in Hongqiao transportation hub are divided into different function zones. Comparison is used to analyze the traffic characters in each zone from the aspect of road function, traffic distribution and traffic composition. The guidance system should match the traffic characters in each zone. Then based on the traffic characters, this paper studies the traffic guidance strategy which describes the purpose of guidance system, the selection of information points and information provided by guidance system. The strategy is the core of the guidance system. In the end, ergonomics is applied in variable message design for different traffic demand, in order to make drivers get traffic information more easily. The type of variable message sign (VMS), the font size, font color and resolution should correspond with the information demand of passengers and the car's speed in each the information point. Some new-style VMS is applied in the traffic guidance system in order to integrate different types of information resources. Traffic guidance system is an efficient method to reasonably allocate the road resources, especially in such place where traffic demand is large but road resources are limited. Research on the traffic guidance system can improve the traffic situation and reduce the traffic congestion.

The forecast is the basis of scientific decision-making. How to choose the right forecasting method is very important for forecasting results. This paper uses the data of total freight in 1978–2006 and the methods such as ARIMA, Gray forecasting and it's amended methods, as well as the BP neural network and gray support vector machines to forecast and determine the error, and finally provides simple comments for the various methods. The authors proved the conclusion that the complicated methods are not necessarily better than the simple one once again. The paper has a certain theoretical and practical significance for the further study of combination forecasting methods and lays the foundation for further research.

Port is an important component of the transportation system, faulty port planning will lead to giant resource waste and irretrievable economic loss. Before port's construction, it should define the port market scale which is the foundation for a port in its development and survival from drastic competition. The analysis of port market scale is essential prerequisite and special requirement to a port planning. It is directly related to the success of a port plan on how to make quantitative analysis on port market with scientific theory, model and method and how to determine the reasonable scale of port market in the process of port planning and construction. This paper is an attempt to study these issues, in order to improve the scientific and rationality of the present port market segmentation. The definition of port market is described and main influencing factors of port market segmentation include market factor, port factor and the connection fact are listed at first in this paper. The authors make comparison among the common methods of present port market segmentation such as administrative division method, pivot and ligament method, membership degree method, location quotient method, Wilson Model and so on. On this basis, Wilson Model is mainly applied. Then the authors empirically make analysis on market segmentation methods according to actual situation of the adjacent Tianjin port and Qingdao port. Based on the analysis and study, the Wilson Model can reflect more approximate to the practical market segmentation, which makes the planning of port development more objective and more scientific.

To rationally divide the peak interval of public transport passenger flow in order to calculate the size of bus passenger flow peak is of great significance for the establishment and optimization of a public transport scheduling plan. The authors set up a top-down algorithm to optimize bus passenger flow peak in this paper and let full-time public transport passenger flow values be sorted in chronological order, to merge grade the similar passenger flow on the adjacent time slots, create a regression equation of public transport passenger flow under different grading circumstances, and get the fitting passenger flow value of every passenger class by calculation, at the same time optimizing the number of peaks and the peak interval of the whole day public transport passenger flow. The algorithm is applied to the scheduling management of No. 16 bus of Chengdu in this paper. The results show that the method can be effectively applied for the establishment and optimization of the bus line scheduling plan.

Wireless sensor network can be applied to the management and control system of transportation. Based on wireless sensor network and geographical information system of transportation, this paper discusses some following issues. Firstly, road and intersection encoding which consists of fixed-length binary number is used as identifier of wireless sensors, and some important attributes of road and intersection can be embodied in the identifier. Secondly, this paper proposes structure of application system of embedded mobile database based on geographical information system for transportation. The system consists of mobile terminal, station and data center server. Thirdly, a three-level hierarchy transportation geography information system is established on wireless sensor network, station (or mobile terminal) and central database server. In conclusion, the three-cascade structure supplies support to the networking and intelligent geographical information system for transportation.

Regional crew scheduling is the process of assigning crews to a set of predetermined trips with fixed starting and ending times. In this paper, the regional crew scheduling was formulated as a class of vehicle routing problem with time windows. A mathematical model is built and the operational constraints such as the maximum number of crew work hours in a day, mandatory rest periods and other operational restrictions are given. Then, the paper presents a modified Ant Colony Algorithm (ACA) to solve the problem. In order to settle contradiction between acceleration convergence and avoiding prematurely or stagnation, improvement on deterministic selection strategies, pheromone updating rule are adopted. In the last part, a practical example proved that a reasonable solution can be obtained by using modified ACA in solving regional crew scheduling problem and that the algorithm is efficient and feasible.

In the system which is about to actualize coordinated control, because of the bottleneck of coordinated control, the bidirectional coordinated control can't take into effect. In this paper, based on the three parameters of traffic control, the author introduces a model of phase sequence optimization- setting single-direction passing through model for one or some intersections in the system which is about to actualize coordinated control. The upstream and the downstream can go through single-direction passing through intersections at staggered time. According to phase sequence optimization, comparing to classic ideal signal model, four phases can be staggered. It equals to an increase of four ideal signal locations, and it can greatly short the ideal signal distance. If the phase circle is close to each other, the ideal signal distance under this model is a quarter of that under the classic model. Under the classic model, the maximal value that the actual intersection deviating from the ideal signal location is 1/2 of (isolated coordinated phase) ideal signal distance. Accordingly, the maximal time difference between the vehicle arriving time and the beginning time of corresponded coordinated phase is c/2. Under the model brought in this paper, the maximal time difference between the vehicle arriving time and the beginning time of corresponded coordinated phase is c/8. The bottleneck of coordinated control is expanded and the width of green band is improved significantly. In this paper the author uses bidirectional non-constant model to calculate ideal signal distance.

This paper presents the dynamic neuro-fuzzy control system for controlling the intelligent transportation system. The controller proposed in this paper is comprised two dynamic neural networks and a system identifier. The system identifier is used to identify the output of the adaptive cruise control system, and one of the dynamic neural networks is employed to learn the weighting factor of the fuzzy logic neural network, the other is control the vehicle system. When the control strategy is not suit for vehicle, identifier will select the best model to be the controller.

In this paper, an evaluation approach has been developed based on TOPSIS to help authorities determine the optimal choice in building or rebuilding projects of urban railway passenger stations. TOPSIS is one of the well-known and useful techniques for multiple-attribute or multiple-criteria decision making (MADM/MCDM). For the original TOPSIS depending on acquired weights of attributes, which usually are unknown in fact, therefore an improvement method has been used in this paper, which uses the analytic hierarchy process (AHP) method to figure out weights of attributes. In addition, considering the difficulty of obtaining precise values for each attribute in practice, this paper develops an extension TOPSIS with triangle fuzzy number to overcome the disadvantage above. In the end, an example has been demonstrated for efficiency of this investigation.

In order to develop an excellent expressway accident detection model, based on the detection data of Chengdu-Mianyang Expressway, the paper makes comparison among the expressway accident detection model based on the Multi-Layer Feed-forward Neural Networks, the expressway accident detection model based on Support Vector Machine and the expressway accident detection model based on the Wavelet Transforms, and analyzes the individual properties of the three expressway accident detection models. Through integrating the relevant advantages of these models, the paper puts forward a combinatorial model of expressway accident detection that adopts Multi-Layer Feed-Forward Neural Networks, Support Vector Machine and Wavelet Transforms theories. The study shows that the performances of the new model are excellent. Its DR (detect rata) achieved is 99.25%, EDR (error detect rata) 0.075% and ADT (average detect time) 0.0578s. Moreover, through experiments, 1000 m detection interval and 30's sampling circle are recommended, and the differences in accident detection efficiency is stated through comparing one-lane accident detection with two-lane accident detection.

The paper suggests a new mode of public transportation system, called "One Road One Line with Straight Driving", in order to change so many unreasonable aspects in traditional urban public transport system. Based on analyzing the implication and characteristics of "One Road One Line with Straight Driving" mode, this paper establishes the new mode's framework, including adaptability of the new mode, analysis of passenger flow, layout of network and stops, transit signal priority, intelligent public transportation dispatching.

The car flow route is related to the train formation plan closely. In order to moderate this relativity, based on the K shortest routes, this paper establishes a model for synthetic optimization of car flow route and train formation plan under the conditions of railway network's environmental parameters, capacity constraint and so on. Because it is difficult to solute the model using the traditional method, this paper adopts the genetic simulated annealing algorithm. The method in this paper can realize the synthetic optimization of car flow route and train formation plan.

This study focuses on one of the intermodal operational problems: how to select the appropriate partner for shipment for intermodal forwarding freight agent (IFFA). In this paper, on the basis of decision theory, game theory, a two-stage approach is presented. Firstly, a suitable candidates group is shortlisted with the consideration of the incomplete information from applicants. Secondly, a first-price sealed auction competition mechanism is then introduced to fulfill the reassessment. Many characteristics are taken into consideration, i.e. the incomplete information and the risk preference of the IFFA etc. And then, a carrier selection modal and game modal are established. In the end, the theoretical analysis is proposed and some strategy remarks are given in this paper subsequently.

The aim of this paper is to find perfect traffic signal timing-plan for two adjacent intersections. Applying cooperative game theory, a cooperation intersection model was established. Nash bargaining solution was applied to solve cooperative problems. Compared to fixed-time control, method proposed in this paper was more advanced, which could be proved by Paramics simulation software.

For the purpose of building high-speed Locomotive Traction Gear parametric solid modeling and promoting calculation accuracy of gear strength, this paper provides a method of involute helical gear parametric solid modeling technology based on Pro/Engineer software system. This paper builds the three dimensional (3D) solid model of a kind of locomotive traction gear, and importing ANSYS software system for finite element analysis about its stress distribution on the condition of interference fit and being loaded between driving gear and motor shaft, proposing improvement method of strength and working life of this gear.

Overloading is one of the important causes of grave and serious traffic accidents' frequent occurrence. A vehicle which is severely overloading does not only damage the road and bridge, but also threatens driving safety by reducing the braking performance of vehicle. The paper takes a double-shaft truck for which the braking force ratio of front and rear wheel brake is a fixed value as the research object, discussing the impact of overloading working on braking performance based on analyzing the relationship between distribution curve of ideal brake force, actual mass, and distribution curve of actual brake force, and accordingly analyze the boundary between reasonable and serious overloading. This paper aims at providing some theoretical basis of control the phenomenon of severe overloading.

With the increase of citizens' income and the expansion of cities, previous bicycle traffic has been transferred to moped traffic gradually in Chinese metropolis. Moped Vehicle is bigger, heavier and faster than a bicycle. However, since moped vehicles traveled along with bicycle vehicles in the same non-motor traffic lanes, some problems arise, such as lane capacity reduction and traffic accidents addition. On the basis of abundant investigation data and information collection, diversified methods, such as literature analysis, summary, mathematical statistics and so on, were applied to model mixed traffic flow in the paper. Meanwhile, based on the research of mixed traffic flow model and the theory of standard vehicle equivalent coefficient, the paper conducted related research on the standard moped equivalent and finally came to the equivalent value of big and small mopeds equal to bicycles in the specific mixed traffic flow. The result provided support for non-motor traffic design, moped traffic management and related policies for the ongoing study. Keywords Moped vehicle traffic, Mixed traffic flow, Traffic flow model, Standard Vehicle Equivalent

Theoretical basis of beam grid analytical method is introduced briefly in this paper as well as the parameters that need attention when the authors put the superstructure of a bridge into the beam grid system. At the same time calculation method of bending stiffness, shear resistant stiffness and tensional stiffness is discussed. Selection of the parameters of beam grid analytical method and converting of the structure system must be taken into consideratio, when the authors analysis the existing bridges. In this paper the new Chengpeng flyover is taken for engineering background and according to the loading test results, the value of structure parameters and the structure connection form is modified and then the reasonable structure discrete model is put forward. On the basis of the model, structural mechanical properties in ultimate limit state and serviceability limit state can be evaluated accurately.

Through analyzing the traffic accident management on expressway, this paper proposed a model based on dynamic game theory for expressway emergency rescue. Take the emergency rescue process as an incomplete information dynamic game process, the "traffic accident" and the "rescue decision-maker" is the two game players. Each of the game players has a strategy space. The traffic accident's strategy space contains all the states of accident. The decision-maker's strategy space contains all the rescue methods. In order to find the optimal rescue plan for the accident, the authors define a payment function by two independent variables, one is the rescue insurance rate, and the other is the cost. The model takes the rescue insurance rate as restrictions to minimize the cost. This model can help the emergency manager to make dynamic rescue plans, which could adjust dynamically when the state of traffic accident changes, so it keeps the decision-maker's strategy space practical real-time and ensure high stability. Finally, in the paper, give an example to elaborate the application of the model.

On the basis of reliability theory, this paper describes how to delimit the hub of urban public transportation and the transfer reliability of the hub, and then researches the common models of reliability of the hub of public transportation that have be studied. Based on analyzing these models, this paper establishes a model which studies a comprehensive hub of public transportation, researches how to comprehend the arithmetic, and then evaluates the reliability of this model according to comparing it with an existed one, taking advantage of an example. At last, bring forward some useful advice to improve the transfer reliability of the hub of public transportation in line with analyzing the interrelated parameters of the reliability model.

The authors use fuzzy program to research container shipping on sea-bound in the paper. In the model, the objective function is to maximize the profit of container shipping. The total profit is equal to the profit from the heavy container shipping subtracting the empty/heavy container shipping cost. The constraints of the model include meeting the need of both heavy and empty containers. The requirements of empty/heavy containers are fuzzy because they are uncertain for being affected by all kinds of factors and there is usually no statistic rule in them. The limits to volume and weight for a line are included in the constraint of the model. The authors transfer the fuzzy programming model to a liner programming ones, and then they adopt Lingo 9.0 to solve the model. They provide an effective model to a shipping company by use of the model in the paper.

The focus of this paper is on the demonstration of the research on site optimization for bus stop, which is the basis of routes network design of public transit priority in China. The paper analyses the influence factors of bus stop site selection, and then under the guidance of the analyze, site selection is divided into two cases: vertical cross-sections and straight sections, while the vertical cross-sections is specifically divided into three cases: bus routes go straight, turn left and turn right. Correspondingly, models of location choice of bus stop for more than one route are set up basing on minimal time taking of passenger's trips to bus stop. At last, the models are applied to an example, and the results prove that there are important theoretical meaning and practical value of the study.

The measure of wheel/rail force has great significance on vehicle dynamics, derailment mechanism, the theory of wheel/rail contact and the vehicle security measurement. The instrumented wheelset is now the most direct and most precise technology of measuring the wheel/rail force, which takes the wheel as the detecting sensor of wheel/rail force and realizes continuous measurement of wheel/rail force by measuring the strain on several places on the wheel plate. This paper makes the Blind Signal Separation (BSS) algorithm apply to the process of the instrumented wheelset strain signal. BSS is new method of signal processing, which can reconstruct the source signal through observational signal based on the statistics characteristic of the source signal on condition that the source signal and the transport channel parameters are unknown. The wheel/rail force is changing and non-stationary and the plate strain which is produced by the wheel/rail force is modulated by the wheel rotating angle. As a result, the strain signal is complex. This paper analyzed the characteristic of the instrumented wheelset's strain signal, developed the way to extract the strain harmonic of wheel/rail force based on Blind Signal Separation algorithm, researched the applicability of the algorithm in all cases, and completed the detecting method of wheel/rail force. Then, according to the simulation of wheelset's finite element model, proved the validity by means of the BSS algorithm. Finally, proposed some problems which need to be solved and the development direction next step.

Through field investigation, this paper establishes an emergency system dynamic model of FE of ship with DG (FESDG) in Three Gorges Dam Region (TGDR) and applies SD model to the emulate simulation of its diffusion. The results indicate that after the FE, 7 categories of events such as ship sinking, DG leaking, water pollution, etc. will occur simultaneously with the emergency source. In the following 15 hours, 8 categories of secondary events (SEs) such as ship detention, moving of ship underwater, channel embargo, etc. will occur at different moments and with divergent evolutionary curves. Research panel finds that inherent structure of SEs will constitute one of the main reasons causing different critical points of event mutation, and all SEs have a "window period" (WP) for emergency handling (EH). Finally this paper put forwards 3 EH strategies: building emergency synergistic handling system of multi-subjects, confirming scientific EH and responsive measures, establishing dynamic flexible scheme of EH.

Railway freight transportation is a very important issue in the development of national economies. This paper presents a railway freight transportation capacity optimal problem with the consideration of integrated logistics system. The classical railway capacity optimal problem can be equivalent to the train scheduling problem. This paper considers two kinds of cost: (i) the inventory costs: incurred when the train arrives in the railway freight station; (ii) the transportation costs incurred when there exists a train operation between a source and a destination. A new model for the railway capacity planning with consideration of integrated logistics is established on the basis of classic train scheduling models, the proposed models, closer to the real world, can provide better support to the development of transportation. A genetic algorithm for solving this problem is proposed and demonstrated; a numerical example reveals that the GA can obtain good solution of the problem effective.

To evaluate and optimize the evacuation plan in the emergency planning is the key problem of the optimization and assessment of emergency plan. This paper focused on the how to model the crowd evacuation process with the characteristics of dynamic spatial-temporal distribution, which minimize the human exposure risk (death or casualties). A discrete state stochastic Markov process was used to simulate the movement of the evacuees in this paper. The study area was divided into nodes with different shape and size; the links that connected the nodes were used to represent the road network in the area. Transition from node-to-node was simulated as a random process where the probability of transition depended on the dynamically changed states of the destination and origin nodes and also on the link between them. Solution of the Markov process provided the expected distribution of the evacuees in the nodes of the area as a function of time. Then, according to the way how extreme phenomena impact individual and the dose-response relationship, the people's health effects (e.g., death, several kinds of injuries etc.) obtained in the evacuation process can be calculated, so that the accident's health consequence can be determined. Finally, different emergency response policies can be evaluated with corresponding health consequence, so that the emergency policy can be optimized.

This paper aims to establish a traffic matching identification model combining the rough set theory and neural network theory. Through using the algorithm for attribute reduction of rough set theory, this paper investigates the key factors for input of BP (backpropagation) neural network in those factors impacted on traffic demand and freight transport capacity outward and inward logistics hub, and sets up a relationship model for evaluating the matching level between traffic supply and demand based on the artificial neural network. Taking one logistics hub as an example, this paper explores the matching level between traffic supply and demand outside the logistics hub at different period of time and predicts the future traffic conditions outside logistics hub.

This paper has analyzed influencing factors of urban traffic control system (UTC) and developed a complete indicator system for UTC evaluation. The indicators can be classified into two groups which are performance evaluation measures and function evaluation indicators. The calculation method for each performance indicator is developed in the paper. Fuzzy Analytic Hierarchy Process (FAHP) is used in function evaluation. At last, SCATS (Sydney Coordinated Adaptive Traffic System), that is an adaptive traffic signal control system, is evaluated using the function evaluation indicators and the FAHP method.

Based on the characteristics of the rural highway, this paper discusses some basic ideas in the decision making for traffic safety facilities after the analysis for the implementing effect and economic applicability of various traffic safety facilities on different dangerous road sections. Combined with the safety functions of different facilities in their forms and effect, the paper explains the rationality of the plan. According to the cost composition of the facilities, the present study investigates the cost prediction methods and the computing technique for economic benefits, and offers the basis for economic feasibility study on various traffic safety facilities.

The purpose of a marine traffic survey is to gather and analyze basic data by using all effective means so that researchers are able to know the traffic status, characteristics and general rules both from macroscopic and microscopic views. Based on the data from distributed system, database technology, the paper sets up the AIS Data Mining Platform and then obtain the eigenvalue to reflect the marine traffic by the means of clustering and statistics. The platform can offer basic data support for further data mining, marine traffic flow forecast and development and programming of marine traffic engineering.

The semi-analytical method for solving structural noise of viaduct box beam is actively investigated in this study. A semi-analytical method with satisfactory computation effectiveness and precision is presented in the paper for solving the acoustic radiation from an infinite concrete viaduct box beam in the air. The method is based on the theory of the extended homogeneous capacity high precision integration method and the spectrum method of virtual boundary with a complex radius vector. The semi-analytical solution is obtained through the Fourier transformation (FT) and stationary phase method. It's very significant for further understanding the acoustic radiation characteristic of the urban viaduct box beam from qualitative analysis. Also, this study has the value of noise controlling and forecasting for building and optimization designing for box beam.

Road information is a kind of significant data source in navigable geo-spatial database, the data model and the storage structure of which are directly related to application efficiency of navigation system. This paper starts with analysis of several common spatio-temporal data models. The authors put forward an improved based state with amendments spatio-temporal data model named as reversely based state with amendments spatio-temporal data model to meet the requirements of fast updating road information in data center. The basic principle is that the road information database of data center based on large server stores road data of current time and changing data of each historical moment. The spatio-temporal data model improves the query speed, is beneficial to updating road data in vehicle mobile terminal, and supports incremental updating of road information but also ensures the accuracy of road information at current time.

Traffic sign is the language of a traffic controller. Being an important human-machine interface in traffic system, rationality of traffic sign design is directly related to traffic safety and traffic efficiency. The design must match the physiological and psychological characteristics of human beings. In this paper, key factors in the traffic sign design are studied based on Ergonomics theory. The adaptabilities of the current traffic signs are investigated, analyzed and the inadequacies of the existing traffic signs are highlighted. The necessary improvements in traffic sign design are suggested.