短时事故扰动下的逐日路网流量演化模型

发布时间：2018-05-13 21:20

本文选题：城市交通 + 日变路网　；参考：《交通运输系统工程与信息》2017年02期

【摘要】：为研究事故扰动下日变交通路网流量在出发时刻和选择路径上的时空演变规律,以出行经验学习更新路网理解阻抗,基于准点到达概率最大和到达前景最大分别调整计划出发时刻和出行路径.并在出行当日根据出发前各时段的实时信息再次更新路网阻抗,重新调整出发时刻和路径获得实际出行选择.从而建立考虑出行日信息更新的逐日路网流量演化模型.采用算例验证模型,结果表明:在路网无事故情形下,考虑出行日内调整,路网流量变化震荡缓和,但达到稳定所需时间长;事故发生在稳定前,会影响最终平衡态流量分布,而事故发生在稳定后,则不影响;考虑出行日调整会加大路网在事故发生后几日的流量震荡.
[Abstract]:In order to study the temporal and spatial evolution of daily traffic network flow at departure time and choice path under accident disturbance, we can update the network understanding impedance by trip experience learning. Based on the maximum arrival probability and the maximum arrival prospect, the planning departure time and the travel path are adjusted respectively. According to the real-time information of each time before departure, the road network impedance is updated again on the travel day, and the departure time and path are readjusted to obtain the actual travel choice. Thus, a daily network flow evolution model considering daily information update is established. An example is used to verify the model. The results show that in the case of no-accident, considering the in-day adjustment of the road network, the fluctuation of the road network flow changes moderates, but it takes a long time to achieve stability, and the accident occurs before the stability, which will affect the final equilibrium flow distribution. But the accident occurs after the stabilization, then does not affect; the consideration travel day adjustment will increase the road network several days after the accident flow turbulence.
【作者单位】：浙江大学建筑工程学院;武汉科技大学汽车与交通工程学院;
【基金】：国家自然科学基金(51308425) 中国博士后科学基金(2014M561762)~~
【分类号】：U491

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