Traffic assignment paradox incorporating congestion and stochastic perceived error simultaneously

Traffic assignment paradox incorporating congestion and stochastic perceived error simultaneously
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同时包含拥塞和随机感知误差的交通分配悖论

DOI:
10.1080/23249935.2018.1474962
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发表时间:
2018-05
期刊:
Transportmetrica A
影响因子:
--
通讯作者:
An Shi
An Shi
中科院分区:
其他
文献类型:
--
作者:
Yao Jia;Cheng Zhanhong;Dai Jington;Anthony Chen;An Shi

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摘要本文从实际出行成本和感知出行成本两个方面分析了随机交通分配悖论中拥挤和随机感知误差的影响。研究了两种不同的情况:改进现有链路和添加新链路。研究发现,不同的拥挤成本函数和感知误差水平将显着影响道路状况和需求水平下发生的悖论。通过一个两O-D对的网络模型,说明了不同O-D对交通需求之间的相互作用对交通悖论的影响。此外,还讨论了当随机感知误差较小但平均出行成本增加时的反直觉现象(信息悖论)。本文的研究结果有助于理解拥挤和随机感知误差的干扰影响,并为交通悖论提供了一些新的见解。
ABSTRACT This paper analyses the effects of congestion and stochastic perceived error in stochastic traffic assignment paradox, by the measure of both actual and perceived travel cost. Two different circumstances are studied: improving an existing link and adding a new link. It is found that different congestion cost functions and perceived error levels will significantly affect the road condition and the demand level under which paradox happens. Moreover, how the interaction between traffic demands of different O-D pairs affects the occurrence of traffic paradox is illustrated by a two O-D pairs’ network. Besides, a counter-intuitive phenomenon when less stochastic perceived error yet increases the average travel cost (information paradox) is also discussed. The results of this paper help to understand the interactional impact of congestion and stochastic perceived error, and give some new insights to traffic paradox.
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发表时间: 2014
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