Volume 23 Issue 3
Jun.  2023
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2023  >  23(3): 221-231
QIN Yan-yan, LUO Qin-zhong, HE Zheng-bing. Management and control method of dedicated lanes for mixed traffic flows with connected and automated vehicles[J]. Journal of Traffic and Transportation Engineering, 2023, 23(3): 221-231. doi: 10.19818/j.cnki.1671-1637.2023.03.017
Citation: QIN Yan-yan, LUO Qin-zhong, HE Zheng-bing. Management and control method of dedicated lanes for mixed traffic flows with connected and automated vehicles[J]. Journal of Traffic and Transportation Engineering, 2023, 23(3): 221-231. doi: 10.19818/j.cnki.1671-1637.2023.03.017
shu

Management and control method of dedicated lanes for mixed traffic flows with connected and automated vehicles

doi: 10.19818/j.cnki.1671-1637.2023.03.017
  • 1.

    School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

Funds:

National Natural Science Foundation of China 52002044

More Information
  • Author Bio:

    QIN Yan-yan(1989-), male, associate professor, PhD, qinyanyan@cqjtu.edu.cn

    HE Zheng-bing(1982-), male, professor, PhD, he.zb@hotmail.com

  • Received Date: 2023-01-06
    Available Online: 2023-07-07
  • Publish Date: 2023-06-25
    Abstract
  • The vehicle types in the mixed traffic flow with connected and automated vehicles (CAV) and the headways under the car-following mode were analyzed, and the probability expressions of each headway mode were theoretically deduced according to the features of general mixed traffic flows, so as to mathematically describe the mixed traffic flow. In order to maximize the overall passing rate of mixed traffic flows, the setting conditions of a CAV dedicated lane in multi-lane mixed traffic flows and the optimal traffic flow distribution ratios of CAV traffic flows on the dedicated lane and the mixed lane after setting the dedicated lane were calculated. By extending the case of one CAV dedicated lane to the general case of dynamic management and control of multiple CAV dedicated lanes, an analysis method for dynamic management and control of dedicated lanes for the mixed traffic flows was constructed. Case analysis was used to demonstrate the effectiveness of the proposed management and control method of CAV dedicated lanes. Research results show that when traffic demand is 2 000 veh·h-1, there is no need to set up CAV dedicated lanes in each CAV permeability stage. When the traffic demand is 3 000 veh·h-1, CAV dedicated lanes should be set up at the CAV permeability stage of 0.2-0.4. When the traffic demand is 5 000 veh·h-1, it is necessary to consider setting up CAV dedicated lanes in each CAV permeability stage. The optimal numbers of CAV dedicated lanes and the optimal distribution ratios of CAV traffic flows at different CAV permeability stages can be quantitatively calculated by the proposed CAV dedicated lane management and control method according to the conditions of traffic demand and the total number of lanes, and the critical CAV permeability range reflecting the setting conditions of CAV dedicated lanes can be affected by the traffic demand. The increase in the optimal number of dedicated lanes from the traffic demand attribute and the road space attribute can be promoted by the traffic demand and the total number of lanes, respectively, which is in line with the characteristics of dedicated lane management and control in multi-lane scenarios for mixed traffic flows.

     

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