HighlightsProposing a hybrid approach combining route plan, social force, and choice strategy.Identifying the desired walking route based on occupied locations.Incorporating “footprint” effect, pedestrian-vehicle interaction and traffic rules.Model calibration by using a genetic algorithm (GA) of NSGA-II.

    AbstractMacroscopic pedestrian models for bidirectional flow analysis encounter limitations in describing microscopic dynamics at crosswalks. Pedestrian behavior at crosswalks is typically characterized by the evasive effect with conflicting pedestrians and vehicles and the following effect with leading pedestrians. This study proposes a hybrid approach (i.e., route search and social force-based approach) for modeling of pedestrian movement at signalized crosswalks. The key influential factors, i.e., leading pedestrians, conflict with opposite pedestrians, collision avoidance with vehicles, and compromise with traffic lights, are considered. Aerial video data collected at one intersection in Beijing, China were recorded and extracted. A new calibration approach based on a genetic algorithm is proposed that enables optimization of the relative error of pedestrian trajectory in two dimensions, i.e., moving distance and angle. Model validation is conducted by comparison with the observed trajectories in five typical cases of pedestrian crossing with or without conflict between pedestrians and vehicles. The characteristics of pedestrian flow, speed, acceleration, pedestrian-vehicle conflict, and the lane formation phenomenon were compared with those from two competitive models, thus demonstrating the advantage of the proposed model.


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    Title :

    Specification and calibration of a microscopic model for pedestrian dynamic simulation at signalized intersections: A hybrid approach


    Contributors:
    Zeng, Weiliang (author) / Chen, Peng (author) / Yu, Guizhen (author) / Wang, Yunpeng (author)


    Publication date :

    2017-04-17


    Size :

    34 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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