Passing in multi-lane, heterogeneous traffic: Part 2, simulation

被引:2
|
作者
Joubert, Johan W. [1 ]
de Koker, Nico [1 ]
机构
[1] Univ Pretoria, Ctr Transport Dev, Ind Engn, Private Bag X20, ZA-0028 Hatfield, South Africa
关键词
Passing; traffic simulation; vehicle class; FLOW; JAM;
D O I
10.1016/j.procs.2018.04.134
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Advances in multi-agent models in the field of vehicular transport are showing much potential for improved decision support. Large scenarios of metropolitan or even national scale can be modelled efficiently and provide rich result sets with more accurate travel time predictions. Some of the efficiency seems to come from using primitive heuristics to deal with passing and multimodality. This paper introduces a passing regime that is sensitive to vehicle class and traffic density. In this second part, we implement the estimated fundamental relation of traffic flow in an agent-based setting. The results are consistent with empirical observations and also support recent advances in analytical models based on multiple phase transitions in traffic congestion. We also investigate the effect of link length in the queue-based model. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:773 / 778
页数:6
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