Search

This paper focused on hazardous materials vehicle scheduling between multiple routes. A mixed integer programming model was formulated to maximize profit and minimize the risk cost of the densely populated area, and the effect of limited capacity of vehicle and scheduling cost was involved explicitly. The main decisions were determining transportation price and vehicle scheduling. Using hierarchical solving method, we presented optimal vehicle quantity without generalized allocating cost and time constraints to allocating capacity firstly. Then, a search procedure was put forward to check the feasibility of it to time constraints, and optimal vehicle quantity that satisfied to time constraints was given, which is proved at mathematics. Finally, on this basis the search mechanism was revised to calculate the minimum of generalized vehicle allocation cost. The validity of it was verified by the numerical examples. Compared with the case that there is no vehicle allocating between different routes, the model with vehicle scheduling could reduce transportation price and increase realized demands. [ABSTRACT FROM AUTHOR]

Transport route optimization of dangerous goods makes lower transportation risk and cost of the enterprise, meanwhile it provides basis reference for the government decision. On the basis of urban master planning, the characteristics of transport of dangerous goods was analyzed, and then the index system on transport of dangerous goods was established. In order to implement this research and quantify the indicators, road characteristics and nature of land along the section has been used to evaluate the risk, simultaneously, the emergency response capacity was considered as the correction factor to improve the risk model, and the BPR impedance function was applied to calculate the transportation costs, then the calculation process of transportation risk and costs was given with an example of Pingxiang, Jiangxi. On this basis, a bi-objective optimization model was created with the target of risk and cost, and method of solving the model was discussed. This model provides a theoretical basis for the transport network of dangerous goods planning and design for its simplicity, practicality and operability. [ABSTRACT FROM AUTHOR]