为提高不确定路网可靠性评估的合理性,设需求服从对数正态分布,假定出行者在随机需求作用下能够达到确定性用户均衡,运用路径算法获得流量,根据BPR(bureau of public roads)型路段特性函数以及对数正态分布的概率特性,给出了路径出行时...为提高不确定路网可靠性评估的合理性,设需求服从对数正态分布,假定出行者在随机需求作用下能够达到确定性用户均衡,运用路径算法获得流量,根据BPR(bureau of public roads)型路段特性函数以及对数正态分布的概率特性,给出了路径出行时间的随机分布,以此为基础建立了路径及OD对出行时间可靠性评估模型.用数值算例验证了评估方法的可行性,分析结果表明该方法能够合理评价需求及其波动程度、路径之间的相关程度对出行时间可靠性的影响.展开更多
Consideration of the travel time variation for rescue vehicles is significant in the field of emergency management research.Because of uncertain factors,such as the weather or OD(origin-destination)variations caused b...Consideration of the travel time variation for rescue vehicles is significant in the field of emergency management research.Because of uncertain factors,such as the weather or OD(origin-destination)variations caused by traffic accidents,travel time is a random variable.In emergency situations,it is particularly necessary to determine the optimal reliable route of rescue vehicles from the perspective of uncertainty.This paper first proposes an optimal reliable path finding(ORPF)model for rescue vehicles,which considers the uncertainties of travel time,and link correlations.On this basis,it investigates how to optimize rescue vehicle allocation to minimize rescue time,taking into account travel time reliability under uncertain conditions.Because of the non-additive property of the objective function,this paper adopts a heuristic algorithm based on the K-shortest path algorithm,and inequality techniques to tackle the proposed modified integer programming model.Finally,the numerical experiments are presented to verify the accuracy and effectiveness of the proposed model and algorithm.The results show that ignoring travel time reliability may lead to an over-or under-estimation of the effective travel time of rescue vehicles on a particular path,and thereby an incorrect allocation scheme.展开更多
文摘为提高不确定路网可靠性评估的合理性,设需求服从对数正态分布,假定出行者在随机需求作用下能够达到确定性用户均衡,运用路径算法获得流量,根据BPR(bureau of public roads)型路段特性函数以及对数正态分布的概率特性,给出了路径出行时间的随机分布,以此为基础建立了路径及OD对出行时间可靠性评估模型.用数值算例验证了评估方法的可行性,分析结果表明该方法能够合理评价需求及其波动程度、路径之间的相关程度对出行时间可靠性的影响.
基金Projects(72071202,71671184)supported by the National Natural Science Foundation of ChinaProject(22YJCZH144)supported by Humanities and Social Sciences Youth Foundation,Ministry of Education of China+3 种基金Project(2022M712680)supported by Postdoctoral Research Foundation of ChinaProject(22KJB110027)supported by Natural Science Foundation of Colleges and Universities in Jiangsu Province,ChinaProject(D2019046)supported by Initiation Foundation of Xuzhou Medical University,ChinaProject(2021SJA1079)supported by General Project of Philosophy and Social Science Research in Jiangsu Universities,China。
文摘Consideration of the travel time variation for rescue vehicles is significant in the field of emergency management research.Because of uncertain factors,such as the weather or OD(origin-destination)variations caused by traffic accidents,travel time is a random variable.In emergency situations,it is particularly necessary to determine the optimal reliable route of rescue vehicles from the perspective of uncertainty.This paper first proposes an optimal reliable path finding(ORPF)model for rescue vehicles,which considers the uncertainties of travel time,and link correlations.On this basis,it investigates how to optimize rescue vehicle allocation to minimize rescue time,taking into account travel time reliability under uncertain conditions.Because of the non-additive property of the objective function,this paper adopts a heuristic algorithm based on the K-shortest path algorithm,and inequality techniques to tackle the proposed modified integer programming model.Finally,the numerical experiments are presented to verify the accuracy and effectiveness of the proposed model and algorithm.The results show that ignoring travel time reliability may lead to an over-or under-estimation of the effective travel time of rescue vehicles on a particular path,and thereby an incorrect allocation scheme.
