[1]沈 良,吴 婷,覃朝晖,等.危险品车辆路径规划的双目标模型与算法研究[J].南京师大学报(自然科学版),2022,(02):81-90.[doi:10.3969/j.issn.1001-4616.2022.02.010]
 Shen Liang,Wu Ting,Qin Zhaohui,et al.Bi-objective Path Finding Problem for Hazardous Materials Transportation Vehicles[J].Journal of Nanjing Normal University(Natural Science Edition),2022,(02):81-90.[doi:10.3969/j.issn.1001-4616.2022.02.010]
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危险品车辆路径规划的双目标模型与算法研究()
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《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

卷:
期数:
2022年02期
页码:
81-90
栏目:
·计算机科学与技术·
出版日期:
2022-05-15

文章信息/Info

Title:
Bi-objective Path Finding Problem for Hazardous Materials Transportation Vehicles
文章编号:
1001-4616(2022)02-0081-10
作者:
沈 良1吴 婷2覃朝晖1冯 雨3邵 虎4邵 枫4
(1.徐州医科大学管理学院,江苏 徐州 221116)(2.南京大学数学系,江苏 南京 210093)(3.中国煤炭运销协会,北京 100013)(4.中国矿业大学数学学院,江苏 徐州 221116)
Author(s):
Shen Liang1Wu Ting2Qin Zhaohui1Feng Yu3Shao Hu4Shao Feng4
(1.School of Management,Xuzhou Medical University,Xuzhou 221116,China)(2.Department of Mathematics,Nanjing University,Nanjing 210093,China)(3.China Coal Transportation and Marketing Association,Beijing 100013,China)(4.School of Mathematics,China Univer
关键词:
交通工程安全可靠路径K短路算法不等式技巧危险品运输车辆随机交通网络
Keywords:
traffic engineeringsafe and reliable pathK-shortest algorithminequality techniquehazardous materials transportation vehiclesstochastic traffic networks
分类号:
U268.6
DOI:
10.3969/j.issn.1001-4616.2022.02.010
文献标志码:
A
摘要:
本文在交通流量、行程时间、受影响的人数等不确定条件下,研究了危险品运输车辆的可靠性和安全性双目标路径规划模型. 对于可靠性目标,考虑了路段的随机通行时间、路口等待时间以及路段和路口通行时间相关性的3个因素的可靠路径搜索问题. 对于安全性目标,不仅考虑危险品运输车辆所经过路段附近受影响的人数,还考虑了事故发生后该路段上的车辆中受影响的人数以及其相关性. 由于目标函数的不可加性,本文提出了一个新的基于不等式放缩技巧和K短路算法的启发式算法,对双目标函数进行求解,节约了计算量,并给出了搜索非支配解(non-dominated solution)的方法. 数值算例的结果说明与传统的模型相比,若忽略信号交叉口的随机延迟和相关性会导致寻找可靠最短路径和最优安全路径的结果存在偏差,导致路径选择不准确,有可能造成严重的经济损失和环境危害. 最后,通过数值演示了该算法在现实道路交通网络中的潜在应用前景.
Abstract:
This paper investigates the bi-objective path finding problem with simultaneous consideration of the reliability and safety issues for hazardous materials transportation vehicles in stochastic networks. Regarding the reliability issue,the stochastic link travel time(SLTT),the delays at intersections and traffic signals(DITS)and the correlations between SLTT and DITS are considered in reliable path finding problem. To address the safety issue,the number of people possibly affected around each link(PPAAL),the number of people possibly affected while using each link(PPAUL)and the correlations between PPAAL and PPAUL are considered in safe path finding problem. Due to the non-additive properties of the reliability and safety measures,this paper proposes a heuristic algorithm to solve the proposed multi-objective model using the mathematical deductions of inequalities and K-shortest algorithm. The proposed algorithm is designed to save the computational time and obtain the non-dominated solutions of the proposed model. Compared with the traditional model,the results of numerical example showed that ignoring the DITS and correlations may lead to basis results in finding the reliable shortest path and the safest path. Such basis results may cause serious economic loss and environmental harm. Finally,we demonstrate the performance of the proposed algorithm in real road traffic network by numerical simulation.

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备注/Memo

备注/Memo:
基金项目:国家自然科学基金项目(71671184、72071202、71971108)、江苏省高校哲学社会科学研究一般项目(2021SJA1079)、江苏省“六大人才高峰”高层次人才项目(XNYQC-001)、徐州医科大学科研启动基金项目(D2019046).
通讯作者:吴婷,博士,副教授,研究方向:交通网络建模研究. E-mail:tingwu@nju.edu.cn
更新日期/Last Update: 1900-01-01