The advancing art of microsimulation modeling is driving a growing interest in vehicle trajectory databases. These can be rich sources of travel information, providing origin–destination patterns, path choices, travel times or delays, and lane changing behavior. These metrics have historically been difficult to acquire, and even with the approach of the big-data era, it remains a challenge to collect high-quality, granular vehicle trajectory data. This paper describes how use of state-of-the-practice time-lapse aerial photography (TLAP), acquired continuously for up to several hours at 1-s frame rates, can produce trajectory data sets with high granularity. These surveys involve the use of airborne digital cameras held in stationary positions about one mile above the ground, to record the movement of virtually all highway vehicles in defined study areas. In this paper, TLAP’s differences from similar military imaging capabilities, such as wide-area motion imagery, are discussed, to explain how TLAP can be affordable for highway traffic studies. Then local survey design and execution for a study in the Phoenix, Arizona, area are presented. Flight and photography survey planning, image alignment, and data extraction methods are discussed; and study output and graphics are presented near the end. Big data someday will likely be magically able to supply all the field data needed for complex analysis or simulation of specific study areas; for now, however, 1-s TLAP can provide many of those benefits.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Generating a Vehicle Trajectory Database from Time-Lapse Aerial Photography


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:
    Zhang, Wang (Autor:in) / Jordan, Gregory (Autor:in) / Livshits, Vladimir (Autor:in)


    Erscheinungsdatum :

    2016-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Aerial photography unmanned aerial vehicle

    JIANG TINGMEI | Europäisches Patentamt | 2021

    Freier Zugriff


    Aerial photography unmanned aerial vehicle

    ZHANG PENG / CHU HAIXIA | Europäisches Patentamt | 2022

    Freier Zugriff

    Unmanned aerial vehicle aerial photography device and aerial photography control system

    YANG YI / ZHONG XIANG / YAO XUELIAN et al. | Europäisches Patentamt | 2022

    Freier Zugriff