A multi-objective model for the hazardous materials transportation problem based on lane reservation

Zhou, Zhen; Che, Ada; Mammar, Saïd

doi:10.1109/icnsc.2012.6204939

Cited by 9 publications

(9 citation statements)

References 21 publications

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“…Nevertheless, the formulations and the models developed in the above-mentioned articles can be used extensively in uncongested networks. One of the applications could be finding reserved lanes for transport of hazardous material on the outskirts of cities which are usually uncongested space where traffic congestion is not a source of concern (Zhou et al, 2014;Zhou et al, 2012). In a similar fashion, Fang et al (2013) sought applications of the priority lane for freight transport in which the freight demand was considered exclusively.…”

Section: Literature Reviewmentioning

confidence: 99%

Transit priority lanes in the congested road networks

2017

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Given the advances in communication technologies and real-time traffic management, transit priority lanes are emerging as an indispensable component of intelligent transport systems. This scheme calls for giving priority to public transport. In this study, the question of interest is: Which roads can be nominated to give an exclusive lane to transit modes? Due to computational and theoretical complexities, the literature has yet to address this problem comprehensively at the network level considering various modes (public and private). Additionally, taking space away from private modes in favor of public transport may adversely affect the congestion level. To this end, inspired by the Braess Paradox, we seek mis-utilized space used by private modes to be dedicated to transit modes mainly on congested roads. To find such candidate roads, we define a merit index based on transit ridership and congestion level. The problem then becomes -to find the best subset of these candidate roads to cede a lane to transit mode. It is formulated as a bilevel mixedinteger, nonlinear programming problem in which the decision variables are binary (1: to cause the respective road to have an exclusive transit lane or 0: not). The adverse effects are minimized on the upper level represented by total travel time (public and private modes) spent on the network. The lower level accounts for a bimodal traffic assignment, to consider the impact of transit priority on private modes. We then develop an efficient low-RAM-intensity branch and bound as a solution algorithm. The search for the subset is made in such a way that improved public transport is achieved at zero cost to the overall performance of the network. A real dataset from the city of Winnipeg, Canada is used for numerical evaluations.

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Section: Literature Reviewmentioning

confidence: 99%

Transit priority lanes in the congested road networks

2017

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“…To reduce the accident risk, the lane reservation strategy has been employed in hazmat transportation [4][5][6][7]. e lane reservation can effectively reduce the risk of hazmat transportation, but it will inevitably affect the driving efficiency and time cost of ordinary vehicles [4]. us, it is important to measure the risk and the impact on the normal traffic accurately.…”

Section: Introductionmentioning

confidence: 99%

“…(3) Two hybrid metaheuristic algorithms are proposed and compared with the accurate algorithm based on enumeration method to verify the validity of the model and algorithm. (4) e effects of the number of hazmat transportation tasks and the proportion of hazmat vehicles are analyzed to provide some management insights.…”

Section: Introductionmentioning

confidence: 99%

Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation

Zhang

Hui

Bai

et al. 2020

Journal of Advanced Transportation

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In this study, we investigate a bilevel optimization model for the hazmat transportation problem with lane reservation. The problem lies in selecting lanes to be reserved in the network and planning paths for hazmat transportation tasks. The trade-off among transportation cost, risk, and impact on the normal traffic is considered. By using the traffic flow theory, we quantify the impact on the normal traffic and modify the traditional risk measurement model. The problem is formulated as a multiobjective bilevel programming model involving the selection of reserved lanes for government and planning paths for hazmat carriers. Two hybrid metaheuristic algorithms based on the particle swarm optimization algorithm and the genetic algorithm, respectively, are proposed to solve the bilevel model. Their performance on small-scale instances is compared with exact solutions based on the enumeration method. Finally, the computational results on large-scale instances are compared and sensitivity analysis on the key parameters is presented. The results indicate the following: (1) Both algorithms are effective methods for solving this problem, and the method based on the particle swarm optimization algorithm requires a shorter computation time, whereas the method based on the genetic algorithm shows more advantages in optimality. (2) The bilevel model can effectively reduce the total risk of the hazmat transportation while considering the interests of hazmat carriers and ordinary travellers. (3) The utilization rate of reserved lanes increases with an increasing number of tasks. Nevertheless, once the proportion of hazmat vehicles becomes excessive, the advantage of reducing the risk of the reserved lanes gradually decreases.

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“…9 Its innovation is that it did not expect to achieve the two objectives simultaneously, but to seek a balance between the two objectives in an uncertain environment. Among the experts from China, Zhou et al 10 proposed a new multi-objective model based on a reserving lane. Ma constructed a new framework to optimize the route that involves multiple factors, such as total risk, total operation time, and the total number of sensitive people.…”

Section: Introductionmentioning

confidence: 99%

The route choice of hazardous material transportation with value-at-risk model using chance measure in uncertain environments

Wang

Zhao

Cao

et al. 2018

Advances in Mechanical Engineering

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This article combines a value-at-risk model with fuzzy theory and proposes a model using chance measure based on the value-at-risk model named chance-value-at-risk (ChVaR). The proposed model considers two measures, probability measure and credibility measure. The objective of this model is to determine the best route schedule that minimizes the risk at certain probability levels and credibility levels. For the proposed model, the correctness of its founding is proven. A detailed solution procedure is presented and tested to solve the ChVaR model. To verify the applicability of the model, two different scale cases are given: the first case indicates that the model can provide a satisfactory solution within a relatively small error range, and the second case routes the path of hazardous material transportation in Changchun, China. According to different probability levels and credibility levels, the ChVaR model provides different paths and multiple alternative choices for a decision maker. This point is important in practical scenarios.

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A multi-objective model for the hazardous materials transportation problem based on lane reservation

Cited by 9 publications

References 21 publications

Transit priority lanes in the congested road networks

Transit priority lanes in the congested road networks

Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation

The route choice of hazardous material transportation with value-at-risk model using chance measure in uncertain environments

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