Microscopic simulation of multi-lane traffic under dynamic tolling and information feedback

来源期刊：中南大学学报(英文版)2009年第5期

论文作者：刘天亮 黄海军 田丽君

文章页码：865 - 870

Key words：information feedback strategy; dynamic tolling scheme; cellular automaton model; high-occupancy lane

Abstract: To investigate drivers’ lane-changing behavior under different information feedback strategies, a microscopic traffic simulation based on the cellular automaton model was made on the typical freeway with a regular lane and a high-occupancy one. A new dynamic tolling scheme in terms of the real-time traffic condition on the high-occupancy lane was further designed to enhance the whole freeway’s flow throughput. The results show that the mean velocity feedback strategy is generally more efficient than the travel time feedback strategy in correctly guiding drivers’ lane choice behavior. Specifically, the toll level, lane-changing rate and freeway’s throughput and congestion coefficient induced by the travel time feedback strategy oscillate with larger amplitude and longer period. In addition, the dynamic tolling scheme can make the high-occupancy lane less congested and maximize the freeway’s throughput when the regular-lane inflow rate is larger than 0.45.

基金信息：the National Natural Science Foundation of China
the National Basic Research Program of China