The use of channelized islands to optimize the operation of advance right-turn motor vehicles (ARTMVs) is an effective intersection design method. To overcome the limitations of previous models with respect to the characteristics of nonstrict priority crossing behaviors and mixed nonmotor vehicle (NMV) flow, we have constructed a new capacity estimation model of ARTMVs. This novel model is based on the driving force model for nonstrict priority crossing behaviors, and fully describes the mixed NMV flow with perceived density. Based on the driving force model for nonstrict priority crossing, the speed of ARTMVs crossing the NMV lane and the headways of ARTMVs are obtained. Finally, the number of ARTMVs crossing the NMV lane in a saturated traffic state, i.e., the capacity, is estimated. The method does not need to consider the gap probability of NMV flow, which makes up for the influence of NMVs passing ARTMVs side-by-side. The model was verified by data collected at validation sites in Kunming, China, and compared with the gap acceptance model; the accuracy of the proposed model with heterogeneous NMV flow improved by 22.2%. The construction method of the model provides a new idea for the capacity estimation of ARTMVs under mixed traffic conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Capacity Estimation of Advance Right-Turn Motor Vehicles Considering Nonstrict Priority Crossing Behaviors under Mixed-Traffic Conditions


    Additional title:

    J. Transp. Eng., Part A: Systems


    Contributors:
    Li, Bing (author) / Yang, Hongyu (author) / Cheng, Wei (author) / Ma, Mingwei (author)


    Publication date :

    2022-02-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Estimating Permitted Left-Turn Capacities with Nonstrict Priority Crossing Maneuvers

    Bai, Qiaowen / Chen, Yongheng / Bie, Yiming et al. | ASCE | 2021


    The Study on Right-Turn Vehicle Capacity under Mixed Traffic Flow Conditions

    Pengpeng, Jiao / Tuo, Sun / Junqiang, Ding | ASCE | 2014



    Influence of Right-turn Priority on Traffic Flow When Providing Information of Right-turn Priority Effect

    Suzuki, H. / Marumo, Y. / Katayama, T. et al. | British Library Conference Proceedings | 2011


    A Mixed-Flow Cellular Automaton Model for Vehicle Nonstrict Priority Give-Way Behavior at Crosswalks

    Yunxuan Li / Zeyang Cheng / Jian Lu et al. | DOAJ | 2020

    Free access