To investigate the traffic conflict characteristics in tunnel-interchange optimal segments, the study employed unmanned aerial vehicles to capture and extract real vehicle trajectory data from three representative locations. Based on observations of traffic flow conditions, the study categorized typical types of traffic conflicts and assessed their severity using Time-to-Collision (TTC). And then revealed the distribution characteristics of traffic conflicts in these restricted segments. To establish the relationship between the traffic conflict rate in these segments and road geometry and traffic flow factors, a multiple linear regression model was employed. Significant influencing factors were identified, and their impacts were quantified. The results indicate that the most concentrated conflicts occur during lane changing and rearend situations in the middle lane. The primary area for severe conflicts spans from the tunnel exit to the end of the taper section in the longitudinal direction. Additionally, as lanes shift outward and spacing decreases, the concentrated area of lane-changing conflicts gradually approaches the taper section from the tunnel exit. The length of spacing, average speed difference, traffic volume, diversion ratio, standard deviation of overall speed, and standard deviation of lane-changing speed significantly affect the traffic conflict rate in tunnel-interchange optimal segments, with their influence decreasing in order.


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    Titel :

    Study on traffic conflict characteristics of tunnel-interchange exit spacing limited road sections based on real vehicle tracks


    Beteiligte:
    Wu, Jinsong (Herausgeber:in) / Ma'aram, Azanizawati (Herausgeber:in) / Yuan, Guangxue (Autor:in) / Ge, Hongcheng (Autor:in) / Zhang, Hanfei (Autor:in) / Wang, Guojun (Autor:in) / Hou, Fujin (Autor:in)

    Kongress:

    Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024) ; 2024 ; Guilin, China


    Erschienen in:

    Proc. SPIE ; 13251


    Erscheinungsdatum :

    28.08.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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