An approach for road, railway, pipeline routing problem in hazardous materials transportation using multiple criteria

Author(s):  
Zahra Bahramian ◽  
Morteza Bagheri
2019 ◽  
Vol 206 ◽  
pp. 976-986 ◽  
Author(s):  
Gustavo A. Bula ◽  
H. Murat Afsar ◽  
Fabio A. González ◽  
Caroline Prodhon ◽  
Nubia Velasco

2011 ◽  
Vol 305 ◽  
pp. 363-366 ◽  
Author(s):  
Qing Ping Gao

A vehicle routing problem of hazardous materials transportation is studied in this paper. Firstly, the maximum permissible flow of the road section is calculated according to the social risk and accident rate values. Secondly, based on the structural measures and basic transportation network, the maximum permissible flow of the road section is taken as road section capacity, the minimum risk is taken as general minimum cost , and a minimum cost and maximum flow method is introduced to solve the flow distribution problem of hazardous materials transportation. Finally, the effectiveness of the method is illustrated with a simple numerical example.


2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Abbas Mahmoudabadi

In the case of determining routes for hazardous material transportation, risk is considered as a main attribute. Transport risk, which is usually combined with other attributes such as cost or travel time, plays a significant role in determining paths for hazardous materials transportation. Since, risk is chaotically affected by road incidents, decision makers are dealing with selecting a method for defining chaotic risk factors in hazmat transportation. In this paper, transport risk has been defined as a chaotic variable using two different methods of generating chaotic patterns. In an experimental road network, which consists of eighty-nine nodes and one hundred and one two-way links, two different methods of generating chaotic variables have been used for applying the proposed procedure. In addition, results for different amounts of risk and cost have also been analyzed in case study. Results revealed that different cost and risk priorities change the frequencies of selected paths determined for hazmat transportation, but the route convergence of the route to chaos method is better than that of the logistic map equation.


2021 ◽  
Vol 13 (3) ◽  
pp. 1262
Author(s):  
Zhongxin Zhou ◽  
Minghu Ha ◽  
Hao Hu ◽  
Hongguang Ma

How to reduce the accidents of hazardous materials has become an important and urgent research topic in the safety management of hazardous materials. In this study, we focus on the half open multi-depot heterogeneous vehicle routing problem for hazardous materials transportation. The goal is to determine the vehicle allocation and the optimal route with minimum risk and cost for hazardous materials transportation. A novel transportation risk model is presented considering the variation of vehicle loading, vehicle types, and hazardous materials category. In order to balance the transportation risk and the transportation cost, we propose a bi-objective mixed integer programming model. A hybrid intelligent algorithm is developed based on the ε-constraint method and genetic algorithm to obtain the Pareto optimal solutions. Numerical experiments are provided to demonstrate the effectiveness of the proposed model. Compared with the close multi-depot heterogeneous vehicle routing problem, the average risk and cost obtained by the proposed bi-objective mixed integer programming model can be reduced by 3.99% and 2.01%, respectively. In addition, compared with the half open multi-depot homogeneous vehicle routing problem, the cost is significantly reduced with the acceptable risk.


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