Mixed traffic conditions are characterized by a haphazard spatial arrangement of diverse vehicle types along the entire width of the roadway. Vehicles in such traffic environments evaluate opportunities for possible lateral movements while progressing longitudinally. This phenomenon gives rise to a two-dimensional movement of vehicles (both longitudinal and lateral) adding more complexity to modeling such traffic streams. Traditionally, longitudinal and lateral movements of vehicles were modeled separately and independent of each other. While two separate models can describe lane-based traffic quite well, the models developed for mixed traffic should describe the traffic flow behavior considering interdependencies between longitudinal and lateral interactions. This chapter presents an overview of the research efforts on microscopic and macroscopic modeling approaches devoted to understanding the mixed traffic stream behavior. Several modeling approaches that have been mostly considered for representing such traffic are covered in this chapter. Finally, this chapter concludes by providing several recommendations for future work, highlighting the urgent need for the development of a comprehensive integrated two-dimensional traffic flow model for mixed traffic condition.


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    Titel :

    Driving Behavior Modeling in Mixed Traffic Conditions: Developments and Future Directions


    Weitere Titelangaben:

    Springer Transactions in Civil and Environmental Engineering


    Beteiligte:


    Erscheinungsdatum :

    2022-03-24


    Format / Umfang :

    31 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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