Dynamic transit lanes for connected and autonomous vehicles

被引:17
|
作者
Levin M.W. [1 ]
Khani A. [1 ]
机构
[1] Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, 500 Pillsbury Drive S.E., Minneapolis, 55455, MN
基金
美国国家科学基金会;
关键词
Autonomous vehicles; Cell transmission model; Dynamic traffic assignment; Dynamic transit lanes;
D O I
10.1007/s12469-018-0186-2
中图分类号
学科分类号
摘要
Transit lanes provide dedicated right-of-way to transit vehicles, but reduce the number of lanes available to other vehicles. Several studies have implemented intermittent bus lanes, which are sometimes reserved for transit but otherwise are available for general traffic. However, their efficiency suffers from the difficulties of communicating accessibility to drivers. We extend this concept by proposing dynamic transit lanes for connected autonomous vehicles, in which infrastructure continuously updates vehicles on lane accessibility. We present a cell transmission model of dynamic transit lanes in which the number of lanes available to general traffic changes in space and time in response to the presence or absence of transit vehicles. In order to extend the concept of transit signal priority in the context of connected autonomous vehicles and integrate it with dynamic transit lanes, we also modify the reservation-based intersection control system for autonomous vehicles to prioritize transit. Numerical results from small test cases show that the dynamic transit lanes and transit intersection priority allow transit to move nearly at free flow on the corridor despite congestion. Results from the downtown Austin city network using dynamic traffic assignment show that both transit and general traffic would experience significant benefits in realistic settings. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码:399 / 426
页数:27
相关论文
共 50 条
  • [21] Efficient and environmentally friendly operation of intermittent dedicated lanes for connected autonomous vehicles in mixed traffic environments
    Chen, Shuiwang
    Hu, Lu
    Yao, Zhihong
    Zhu, Juanxiu
    Zhao, Bin
    Jiang, Yangsheng
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 608
  • [22] Cooperative lane-changing for connected autonomous vehicles merging into dedicated lanes in mixed traffic flow
    Jiang, Yangsheng
    Man, Zipeng
    Wang, Yi
    Yao, Zhihong
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 252
  • [23] Conditional Transit Signal Priority for Connected Transit Vehicles
    Cvijovic, Zorica
    Zlatkovic, Milan
    Stevanovic, Aleksandar
    Song, Yu
    TRANSPORTATION RESEARCH RECORD, 2022, 2676 (02) : 490 - 503
  • [24] Automated vehicles: autonomous or connected?
    Parent, Michel
    2013 IEEE 14TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2013), VOL 1, 2013, : 2 - 2
  • [25] A Novel Ego Lanes Detection Method for Autonomous Vehicles
    Bataineh, Bilal
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 37 (02): : 1941 - 1961
  • [26] A Macroscopic Study on Dedicated Highway Lanes for Autonomous Vehicles
    Ivanchev, Jordan
    Knoll, Alois
    Zehe, Daniel
    Nair, Suraj
    Eckhoff, David
    COMPUTATIONAL SCIENCE - ICCS 2019, PT I, 2019, 11536 : 520 - 533
  • [27] IoT-Based Dynamic Map Attributes for Connected and Autonomous Vehicles
    Moussa, Mohamed Mounir
    Alazzawi, Lubna
    2021 IEEE INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2021,
  • [28] Error Concealment of Dynamic LiDAR Point Clouds for Connected and Autonomous Vehicles
    Shi, Guihua
    Wu, Chih-Chun
    Hsu, Cheng-Hsin
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 5409 - 5415
  • [29] A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles
    Lin, Shang-Chien
    Hsu, Hsiang
    Lin, Yi-Ting
    Lin, Chung-Wei
    Jiang, Iris Hui-Ru
    Liu, Changliu
    2020 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2020, : 349 - 356
  • [30] A Combinatorial Dynamic Network Trajectory Reservation Algorithm for Connected Autonomous Vehicles
    Michael W. Levin
    Networks and Spatial Economics, 2019, 19 : 27 - 55