Journal of Transportation Systems Engineering and Information Technology ›› 2020, Vol. 20 ›› Issue (6): 106-113.

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Experiment and Model of Day-to-day Route-choice Behavior under Different Information

LIU Shi-xu1, WANG Zhi-yu1, GUAN Hong-zhi2, YAN Hao1, HE Zhao-yang1   

  1. 1. College of Civil Engineering, Fuzhou University, Fuzhou 350108, China; 2. College of Construction Engineering, Beijing University of Technology, Beijing 100124, China
  • Received:2020-09-03 Revised:2020-09-25 Online:2020-12-25 Published:2020-12-25

不同信息下的逐日路径选择行为实验与模型

刘诗序*1,王智煜1,关宏志2,阎昊1,贺朝阳1   

  1. 1. 福州大学 土木工程学院,福州 350108;2. 北京工业大学 建筑工程学院,北京 100124
  • 作者简介:刘诗序(1983-),男,湖北大冶人,副教授,博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China (71971005);北京市自然科学基金/Natural Science Foundation of Beijing, China (8202003).

Abstract:

To investigate the influence of Advanced Traveler Information Systems (ATIS) on travelers' day-today route-choice behavior, this paper designed five groups of behavioral experiments with different ATIS market penetration (0, 25%, 50%, 75%, and 100%) based on the Braess network. The results show that the flows of the three routes and the choice frequency of the new route kept continuous fluctuations throughout the whole experiments. With the increase of the ATIS market penetration, the average travel time tends to the user equilibrium, and the choice frequency of the new route shows an increasing trend. We also found that with the increase of ATIS market penetration, the subjects' preference for the new route increases and the effect of the Braess paradox is more obvious. Based on the five groups of experimental data, a common Logit model and a random utility Logit model based on panel data were respectively proposed to describe the route-choice behavior of the subjects. The results show that when ATIS market penetration is 0, the common Logit model is better. When the ATIS market penetration increases or even reaches 100%, the random utility Logit model becomes better. The individual differences of travelers without ATIS are smaller than those with ATIS.

Key words: traffic engineering, route- choice behavior model, behavioral experiment, ATIS market penetration, Braess paradox, Logit model

摘要:

为研究先进出行者信息系统(ATIS)对出行者逐日路径选择行为的影响,本文基于 Braess路网设计5组具有不同ATIS市场占有率(0、25%、50%、75%、100%)的行为实验.结果表明:3条路径的流量及新增路径保持选择的次数持续波动,随着ATIS市场占有率增大,路网平均行程时间趋于用户均衡,新增路径保持选择的次数呈现增长趋势,且被试对新增路径的选择性偏好增强,Braess悖论的效果也更明显.基于5组实验数据,分别建立普通Logit模型和基于面板数据的随机效应Logit模型刻画路径选择行为.结果表明:当ATIS市场占有率为0时,最佳模型为普通Logit模型;当ATIS市场占有率增大甚至达到100%时,最佳模型均为随机效应Logit模型;未配备ATIS的出行者的个体差异性比配备ATIS的小.

关键词: 交通工程, 路径选择行为模型, 行为实验, ATIS市场占有率, Braess悖论, Logit模型

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