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Traffic congestion in urban network has been a serious problem for decades. In this paper, a novel dynamic multi-objective optimization method for designing predictive controls of network signals i...

Pre-planned events such as constructions or special events lead to road capacity reductions and create bottlenecks in the traffic network. The traffic impact of such events goes beyond local areas,...

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess ...

The management of vehicle travel times has been shown to be fundamental to traffic network analysis. To collect travel time measurement, some methods focus solely on isolated links or highway segments, and where two measurement points, at the beginning and at the end of a section, are deemed sufficient to evaluate users' travel time. However, in many cases, transport studies involve networks in which the problem is more complex. This article takes advantage of the plate scanning technique to propose an algorithm that minimizes the required number of registering devices and their location in order to identify vehicles candidates to compute the travel times of a given set of routes (or subroutes). The merits of the proposed method are explained using simple examples and are illustrated by its application to the real network of Ciudad Real.

The advancement of information and communication technology allows the use of more sophisticated information provision strategies for real-time traffic management in a congested network. This article proposes a personalized system optimum traveler information (PSOI) system under ubiquitous communication, which allows traffic system operators to fully optimize and coordinate individuals' trip plans according to the personal attributes, such as real-time location, value of time, allowable budgets for congestion tolling, and willingness to take detours. We also developed an efficient queue-based evaluation and solution heuristic algorithm using mesoscopic simulation models to solve for near-optimal PSOI strategies—route suggestions for each individual traveler. The simulation optimization algorithm can account for different information users and provide predictive information that robustly accounts for potential decisions of other travelers in real time. Case studies were carried out on a test networ...

Probe vehicles represent samples in a traffic stream, and hence, probe-based traffic monitoring relies on effective sampling of vehicles. Current research views sampling from a networkwide perspective, and a single sample size is specified for the entire network. Using this method, research has indicated that the smaller routes in a network, such as minor and other arterials, are not adequately monitored. Increasing the sample size is not always a feasible option because of the restrictions of cost for use of the wireless network bandwidth and the availability of required number of probe vehicles. In this article, the authors describe a research effort that identified and extended stratified sampling as a method for increasing the efficacy of probe-based traffic monitoring. A methodology for application of stratified sampling for probe-based traffic monitoring is developed and implemented using a heavily traveled suburban traffic network simulation as a case study. Also, the authors discuss results of the...

This article presents two algorithms for intervehicular communication (IVC)-based route guidance in a traffic network. The first algorithm enables communication between a searcher vehicle and other vehicles traveling the network in the opposite direction of the searcher vehicle. The second algorithm enables sharing information among the searcher vehicle and other vehicles traveling in the same direction and within a specific communication range. The mathematical formulations of the two algorithms are presented. A microscopic simulation model is utilized to assess the effectiveness of these algorithms against the well-known shortest path algorithm. Travel time and network productivity are used as the measures of performance. The overall network performance is captured under various congestion levels and link speeds and lengths. Two distinct methods are used in assessment: free simulation runs to evaluate the network productivity under various communication schemes and forced simulation runs to estimate the...