With the expected increase in the availability of trajectory-level information from connected and autonomous vehicles, issues of lane changing behavior that were difficult to assess with traditional freeway detection systems can now begin to be addressed. This study presents the development and application of a lane change detection algorithm that uses trajectory data from a low-cost GPS-equipped fleet, supplemented with digitized lane markings. The proposed algorithm minimizes the effect of GPS errors by constraining the temporal duration and lateral displacement of a lane change detected using preliminary lane positioning. The algorithm was applied to 637 naturalistic trajectories traversing a long weaving segment and validated through a series of controlled lane change experiments. Analysis of naturalistic trajectory data revealed that ramp-to-freeway trips had the highest number of discretionary lane changes in excess of 1 lane change/vehicle. Overall, excessive lane change rates were highest between the two middle freeway lanes at 0.86 lane changes/vehicle. These results indicate that extreme lane changing behavior may significantly contribute to the peak-hour congestion at the site. The average lateral speed during lane change was 2.7 fps, consistent with the literature, with several freeway–freeway and ramp–ramp trajectories showing speeds up to 7.7 fps. All ramp-to-freeway vehicles executed their first mandatory lane change within 62.5% of the total weaving length, although other weaving lane changes were spread over the entire segment. These findings can be useful for implementing strategies to lessen abrupt and excessive lane changes through better lane pre-positioning.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Characterizing Lane Changes via Digitized Infrastructure and Low-Cost GPS


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Ahmed, Ishtiak (Autor:in) / Karr, Alan (Autor:in) / Rouphail, Nagui M. (Autor:in) / Chun, Gyounghoon (Autor:in) / Tanvir, Shams (Autor:in)


    Erscheinungsdatum :

    2019-04-04




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Characterizing lane changing behavior and identifying extreme lane changing traits

    Ahmed, Ishtiak / Karr, Alan F. / Rouphail, Nagui M. et al. | Taylor & Francis Verlag | 2023


    Optimal Bus Lane Infrastructure Design

    Sun, Xu / Lu, Huapu / Fan, Yueyue | Transportation Research Record | 2014


    NAVIGATION COST COMPUTATION FOR LANE CHANGES BEFORE A CRITICAL INTERSECTION

    MOLINARI DANIELE | Europäisches Patentamt | 2021

    Freier Zugriff

    Digitized management and maintenance system for traffic infrastructure based on Internet of Things technology

    WANG ZHENPU / YANG RONG / LUO YANLI | Europäisches Patentamt | 2023

    Freier Zugriff

    Digitized dock building method

    FANG LU / WEI YEQING / XIE RONG | Europäisches Patentamt | 2015

    Freier Zugriff