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原文传递 Managing Day-to-Day Network Traffic Evolution via an Altering Ex-Post Information Release Strategy

题名：	Managing Day-to-Day Network Traffic Evolution via an Altering Ex-Post Information Release Strategy
其他题名：	Balakrishna,R.,H.N.Koutsopoulos,M.Ben-Akiva,B.F.Ruiz,and M.Mehta.2005."Simulation-based evaluation of advanced traveler information systems."Trans.Res.Rec.1910:90-98.https://doi.org/10.3141/1910-11.
正文语种：	英文
作者：	Wenyi Zhang
关键词：	Urban transportation;Information release;Day-to-day dynamics;Compass search
摘要：	Providing travelers with full ex-post travel time information from day to day can only make a disequilibrium network evolve to the user equilibrium, rather than the system-optimal or other better-off states. To make best use of the ex-post information, this paper suggests an altering information release strategy to optimize the day-to-day disequilibrium traffic evolution. According to present strategy, the ex-post travel time information is not released directly but is properly altered in advance, with altering volume falling into travelers' memory or perception error scopes so as not to incur distrust. The problem is formulated as dynamic programming in which the classical proportional-switch adjustment process is applied to describe travelers' day-to-day rerouting behavior against the released information. The properties of the model are analyzed sufficiently. Due to poor properties, the problem is treated as a bound constrained optimization problem, and a constrained compass search method is suggested to solve it. Numerical examples based on two networks are given to perform and characterize the current methodology.
出版年：	2018
论文唯一标识：	P-72Y2018V144N07005
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000150
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	144
期：	07
页码：	25-40