Most existing studies on autonomous intersection management (AIM) often focus on algorithms to accommodate conflicts among vehicles by assuming that the entrance lane and the exit lane of vehicles are exogenous inputs. This paper shows that allowing entrance lanes and exit lanes to be optimized can significantly improve traffic efficiency. In particular, this paper proposes “all-direction” lanes, where left-turn, through, and right-turn traffic is all allowed at the same lane. We develop two methods for optimizing entering time (i.e., when to enter the intersection) and route choice decisions (i.e., entrance lane and exit lane), including the sliding-time-window-based global optimum (GO-STW) and the first-come-first-served method with optimal route choices (FCFS-R). The developed lane-based methods can be formulated as mixed integer linear programming (MILP) problems, which can be solved using the CPLEX solver. A heuristic is further adopted to solve the MILP model in a timely manner, which illustrates the potential real-time applicability of the proposed method. Numerical analysis is conducted to examine performance and effectiveness of the proposed methods and heuristic. We found that the optimization of lane/route choices is often more critical than entering time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Autonomous Intersection Management for Connected and Automated Vehicles: A Lane-Based Method


    Contributors:
    Wu, Wei (author) / Liu, Yang (author) / Liu, Wei (author) / Zhang, Fangni (author) / Dixit, Vinayak (author) / Waller, S. Travis (author)


    Publication date :

    2022-09-01


    Size :

    4309434 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    AUTONOMOUS INTERSECTION WARNING SYSTEM FOR CONNECTED VEHICLES

    GARRETT CALEB / EDUARDO JOSEPH ALI | European Patent Office | 2019

    Free access

    Autonomous intersection warning system for connected vehicles

    GARRETT CALEB / EDUARDO JOSEPH ALI | European Patent Office | 2021

    Free access

    AUTONOMOUS INTERSECTION WARNING SYSTEM FOR CONNECTED VEHICLES

    GARRETT CALEB / EDUARDO JOSEPH ALI | European Patent Office | 2020

    Free access

    Integrated Intersection Management for Connected, Automated Vehicles, and Bicyclists

    Niels, Tanja / Bogenberger, Klaus / Mitrovic, Nikola et al. | IEEE | 2020