scholarly journals Two Chaotic Patterns of Dynamic Risk Definition for Solving Hazardous Materials Routing Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Abbas Mahmoudabadi
Keyword(s):  
Logistic Map ◽  
Hazardous Materials ◽  
Routing Problem ◽  
Hazardous Materials Transportation ◽  
Transportation Risk ◽  
Hazardous Material Transportation ◽  
Study Results ◽  
Risk Definition ◽  
Hazmat Transportation ◽  
Material Transportation

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.

Research Status and Development Trends of Hazardous Materials Transportation

2011 ◽  
Vol 361-363 ◽  
pp. 1230-1239
Author(s):  
Zong Feng Zou ◽  
Bao Quan Zhang
Keyword(s):  
Hazardous Materials ◽  
Future Research ◽  
Joint Control ◽  
Large Area ◽  
Role Of Government ◽  
Hazardous Materials Transportation ◽  
Transportation Risk ◽  
Hazmat Transportation ◽  
Research Situation

The related issues of hazardous materials transportation in recent years are summarized and reviewed from the following aspects: hazardous materials transportation risk evaluation models, road routing models, the application of related technology, early warning for emergency response and joint action mechanism and platform construction, the research situation and development pattern of unified monitoring platform, etc. Analysis shows that it is essential to establish more in-depth and scientific quantitative models based on the attainment of more comprehensive and continuous data as well as the consideration of various constraints. It is a direction for future research to develop comprehensive application of technology and to establish HAZMAT transportation joint control platform in large area, and the leading and facilitating role of government should be paid more attention on joint control platform construction in large area.

scholarly journals Half Open Multi-Depot Heterogeneous Vehicle Routing Problem for Hazardous Materials Transportation

2021 ◽  
Vol 13 (3) ◽  
pp. 1262
Author(s):  
Zhongxin Zhou ◽  
Minghu Ha ◽  
Hao Hu ◽  
Hongguang Ma
Keyword(s):  
Integer Programming ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Programming Model ◽  
Hazardous Materials ◽  
Mixed Integer ◽  
Routing Problem ◽  
Hazardous Materials Transportation ◽  
Transportation Risk ◽  
Heterogeneous Vehicle Routing Problem

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.

scholarly journals Routing for Hazardous Materials Transportation in Urban Areas

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1091 ◽  
Author(s):  
Zhang ◽  
Feng ◽  
Yang ◽  
Ding
Keyword(s):  
Urban Areas ◽  
Optimal Solution ◽  
Hazardous Materials ◽  
Work Load ◽  
Decision Variable ◽  
Daily Production ◽  
Hazardous Materials Transportation ◽  
Decision Variables ◽  
Hazmat Transportation ◽  
Local Risk

Hazardous materials (HAZMAT) are important for daily production in cities, which usually have a high population. To avoid the threat to public safety and security, the routes for HAZMAT transportation should be planned legitimately by mitigating the maximum risk to population centers. For the objective of min-max local risk in urban areas, this study has newly proposed an optimization model where the service of a link for HAZMAT transportation was taken as the key decision variable. Correspondingly, the symmetric problem of min-max optimization takes significant meanings. Moreover, in consideration of the work load of solving the model under a lot of decision variables, a heuristic algorithm was developed to obtain an optimal solution. Thereafter, a case study was made to test the proposed model and algorithm, and the results were compared with those generated by deterministic solving approaches. In addition, this research is able to be an effective reference for authorities on the management of HAZMAT transportation in urban areas.

scholarly journals Fleet Scheduling Optimization of Hazardous Materials Transportation: A Literature Review

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Changxi Ma ◽  
Jibiao Zhou ◽  
Xuecai (Daniel) Xu ◽  
Fuquan Pan ◽  
Jin Xu
Keyword(s):  
Hazardous Materials ◽  
Route Optimization ◽  
Research Progress ◽  
Accident Rate ◽  
Scheduling Optimization ◽  
Research Directions ◽  
Hazardous Materials Transportation ◽  
Research Results ◽  
Transportation Risk ◽  
Scheduling Method

To comprehensively understand the research progress of the fleet scheduling for hazardous materials, the study has summarized the corresponding research results from three aspects (a) hazardous materials transportation risk, (b) route optimization, and (c) fleet scheduling, and then pointed out potential problems from six aspects: (a) the coupling risk of the transport fleet; (b) the screening of time and space for the transport of hazardous materials; (c) the scheduling optimization for transport fleets; (d) taking insufficient account of transport risks fairness; (e) insufficient robustness of scheduling schemes; and (f) lacking of research results on fleet scheduling of transport in the context of antiterrorism. After that, by considering the existing shortcomings of the current research, five research directions are presented that should be further explored in the future. Subsequently, both rough set and association rule theory is applied to explore the cause chain of transportation accidents for hazardous materials, and analyze the mechanism of transport accident for hazardous materials. Next, the Bayesian network is presented to predict the accident rate of hazardous materials transportation under different temporal and spatial conditions, and the dynamic rolling scheduling method of hazardous materials transport fleet is constructed under normal and antiterrorism background.

Bi-objective vehicle routing problem for hazardous materials transportation

2019 ◽  
Vol 206 ◽  
pp. 976-986 ◽  
Author(s):  
Gustavo A. Bula ◽  
H. Murat Afsar ◽  
Fabio A. González ◽  
Caroline Prodhon ◽  
Nubia Velasco
Keyword(s):  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Hazardous Materials ◽  
Routing Problem ◽  
Hazardous Materials Transportation

scholarly journals Developing a Chaotic-Simulation Based Model for Ranking High Selected Network Links in Hazardous Material Transportation

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Abbas Mahmoudabadi
Keyword(s):  
Road Safety ◽  
Road Network ◽  
Hazardous Material ◽  
Routing Problem ◽  
Hazardous Material Transportation ◽  
Wide Range ◽  
Simulation Based ◽  
Material Transportation ◽  
General Transport ◽  
The Mathematical Model

Hazardous material transportation is one of the main concerns due to the nature of hazardous materials and their incident impacts. In general, transport risk is a main attribute to develop mathematical models for hazardous material routing problem as well as network designing or improving road safety. This paper presents a chaotic-simulation based model to determine the high selected links to improve road network quality for hazardous material transportation, in which risk is considered as a chaotic variable over the network whereas a simulation technique has been applied to cover a wide range of selecting paths. A real road network, consists of fifty-nine nodes and eighty two-way edges, is used for running the mathematical model and checking validation. Due to the large amounts of hazardous material transported by trucks, the proposed methodology is focused on fuel transportation, and high selected list of edges (links) has been obtained to improve road safety. Sensitivity analysis revealed that using different seeds for generating transport risk has no significant effects on finding the most frequent paths and high selected edges.

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