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原文传递 Subjective-utility travel time budget modeling in the stochastic traffic network assignment
题名: Subjective-utility travel time budget modeling in the stochastic traffic network assignment
其他题名: 1 The empirical studies(e.g.,Brownstone et al.,2003;Recker et al.,2005)demonstrate that travelers consider travel time variability in their route choice decisions,and some buffer time will be added to ensure the arrival reliability.That is to say,the travelers are risk-averse.
正文语种: 英文
作者: Xiangfeng Ji
关键词: day-to-day variations;generalized risk-averse user equilibrium;heuristic gradient projection;reduction and equivalence;subjective-utility travel time budget
摘要: In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that theymay complywith in the route choice. The twomain components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.
出版年: 2017
论文唯一标识: J-96Y2017V21N06002
英文栏目名称: Articles
期刊名称: Journal of Intelligent Transportation Systems Technology Planning and Operations
拼音刊名(出版物代码): J-96
卷: 21
期: 06
页码: 439-451
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