論文

2018年12月

Impact of dedicated lanes for connected and autonomous vehicle on traffic flow throughput

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
  • Lanhang Ye
  • ,
  • Toshiyuki Yamamoto

512
開始ページ
588
終了ページ
597
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.physa.2018.08.083
出版者・発行元
ELSEVIER SCIENCE BV

This paper presents an application of a recently proposed methodology for modeling connected and autonomous vehicles (CAVs) in heterogeneous traffic flow, to investigate the impact of setting dedicated lanes for CAVs on traffic flow throughput. A fundamental diagram approach was introduced which reveals the pros and cons of setting dedicated lanes for CAVs under various CAV penetration rates and demand levels. The performance of traffic flow under different number of CAV dedicated lanes is compared with mixed flow situation. Simulation results indicate that at a low CAV penetration rate, setting CAV dedicated lanes deteriorates the performance of the overall traffic flow throughput, particularly under a low density level. When CAVs reach a dominant role in the mixed flow, the merits of setting dedicated lanes also decrease. The benefit of setting CAV dedicated lane can only be obtained within a medium density range. CAV penetration rate and individual CAV performance are significant factors that decide the performance of CAV dedicated lane. The higher level of performance the CAV could achieve, the greater benefit it will attain through the deployment of CAV dedicated lane. Besides, the performance of CAV dedicated lane can be improved through setting a higher speed limit for CAVs on the dedicated lane than vehicles on other normal lanes. This work provides some insights into the impact of the CAV dedicated lane on traffic systems, and helpful in deciding the optimal number of dedicated lanes for CAVs. (C) 2018 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.physa.2018.08.083
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000446151000049&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.physa.2018.08.083
  • ISSN : 0378-4371
  • eISSN : 1873-2119
  • Web of Science ID : WOS:000446151000049

エクスポート
BibTeX RIS