The objective of this study is to investigate impacts of illegal crossings on vehicle operations at unmarked midblock locations. In this study, we first used a speed testing method to examine the significant difference in vehicle speeds in upstream, crossing, and downstream areas. A multinomial logit model was then proposed to identify impacts of vehicle-pedestrian interactions on vehicle behaviors based on speed, distance, and other safety measures. Last, we quantified the probability of different types of vehicle behaviors influenced by illegal crossings in marginal analysis. A case study was conducted in Nanjing, China, by utilizing trajectory data that were extracted from videos collected by an unmanned aerial vehicle. Results indicate that over half of vehicles chose to decelerate for pedestrians when the speed was less than 45 km/h. When the vehicle-pedestrian lateral distance is more than 3 m, vehicles have a higher probability of maintaining the current running status. When vehicles were involved in an interaction with pedestrians in two adjacent lanes, lane changing was significantly restricted and deceleration was the preferred way to yield in approximately 80% of the interactions. In contrast, the probability of lane changing showed an upward trend as the number of pedestrians ahead of a vehicle increased and reached almost 50% with four pedestrians.


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    Titel :

    Investigating impacts of illegal crossings on vehicle operations at unmarked midblock locations


    Beteiligte:
    Chen, Enhui (Autor:in) / Yan, Yu (Autor:in) / Ye, Zhirui (Autor:in) / Wang, Chao (Autor:in) / Du, Chaoliang (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    26.01.2022


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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