摘要
提出了目标导向型双属性路径效用模型,用于分析随机交通网络中出行时间和出行时间可靠度两属性影响下出行者的路径选择行为,其中能够达到的目标决定了路径效用的大小。所提出的模型具有3个特点:一是考虑出行者感知误差,从而得到出行时间和出行时间可靠度的感知值;二是基于感知值的边际分布,采用Copula函数刻画感知值间的随机相关性;三是出行者为每个属性赋予特定目标,并且提出了目标间的相互作用,即互补关系。基于所提出的路径效用模型,进一步提出了考虑出行者感知误差的目标导向型双属性用户均衡模型,将其表示为变分不等式问题,采用连续平均算法对其进行求解。最后通过数值实验验证了出行者不同出行行为下的表现和算法的有效性,并对相关参数进行了敏感性分析。提出的模型拓展了出行者路径选择的研究范围。
A target⁃oriented route utility model is proposed to study travelers'route choice behavior with their perception errors on the stochastic traffic network,where travel time and travel time reliability are considered,and travelers'utility is determined by the targets that achieved.There are three characteristics of this new model.The first one is that after incorporating travelers'perception errors,perceived travel time and perceived travel time reliability are obtained;the second one is that stochastic correlation between the perceived values are captured by the copula with their marginal distributions;the third one is that travelers specify one target for each attribute,and the target interaction,namely the complementarity relationship between the targets,is modeled.Furthermore,a target⁃oriented bi⁃attribute user equilibrium model is proposed based on this new route choice model,which is formulated as a variational inequality problem and solved with method of successive average.Finally,the numerical results show the performance of different traveling behavior and validate the solution algorithm,and the sensitivity analysis with respect to the related parameters is also performed.The proposed model extends the scope of studies on travelers'route choice behavior,which can provide scientific support to the design and implementation of policies.
作者
纪翔峰
张妍
敖晓宇
JI Xiang-feng;ZHANG Yan;AO Xiao-yu(School of Business,Qingdao University,Qingdao266071,Shandong,China)
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2022年第7期103-110,共8页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金青年科学基金项目(71801138)。
关键词
城市交通
双属性用户均衡
目标导向型分析
出行时间及可靠度
感知误差
urban traffic
bi⁃attribute user equilibrium
target⁃oriented analysis
traffic time and travel time reliability
perception error
