不同信息下的逐日路径选择行为实验与模型

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.

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

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.