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作 者:张文义[1] 张璇 何彦博 马继辉[1] ZHANG Wenyi;ZHANG Xuan;HE Yanbo;MA Jihui(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China)
机构地区:[1]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044
出 处:《北京交通大学学报》2022年第4期76-84,共9页JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基 金:中央高校基本科研业务费专项资金(2022JBMC045);国家自然科学基金(71601015)。
摘 要:针对现有逐日交通调整模型在刻画用户边际行为偏好上存在的不足,提出一种适用于路径叠加网络的边际成本计算方法,并构建了能更合理反映用户边际成本偏好(Marginal Cost Preference,MCP)的逐日交通路径调整模型.理论分析证明该模型是一个理性行为调整过程,表明边际成本偏好与理性行为调整规则可相容.数值分析结果表明:边际成本偏好考虑与否以及边际成本的计算方式对于交通流演化过程具有显著影响;基于新边际成本的路径调整模型的流量演化轨迹长度更短,在此基础上开发确定型用户均衡的求解算法有望获得更好效果.To address the deficiency for current day-to-day traffic adjustment models in describing travelers’ marginal behavior preference, this paper proposes a calculation method of marginal cost that applies to a road network with path overlapping, and a day-to-day traffic rerouting model is established,which enables a better capture of travelers’ Marginal Cost Preference(MCP). Theoretical analysis proves that the proposed model represents a rational behavior adjustment process, meaning that the marginal cost preference and rational behavior adjustment rule are compatible. Numerical analysis results show that whether considering marginal cost preference and the calculation method of marginal cost show significant impact on day-to-day traffic flow evolution;and the rerouting model built on the modified marginal cost produces shorter traffic evolution trajectories, implying that developing an algorithm to solve the deterministic user equilibrium based on the proposed rerouting model could achieve better performance.
分 类 号:U491[交通运输工程—交通运输规划与管理]
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