The usage of mobile phones has undergone tremendous growth in the past decades. Large amounts of mobile-phone signaling data (MSD) are generated while using various mobile phone applications. The large-scale MSD presents opportunities for transport planners to utilize it for better planning and management of the transportation system. In this paper, we use MSD to analyze subway passengers’ travel behavior and extract their complete travel trajectories. The complete travel trajectories of subway passengers include their trajectories, both inside and outside the subway system. In the first stage, the MSD from the subway base stations is selected, sorted by time, and the rough trajectory in the subway system is extracted. The ground base stations around the subway station are then considered to correct the boarding and alighting subway stations in order to obtain a more detailed trajectory. In the second stage, the service range of the base station is determined according to the Thiessen polygon, and a temporal dynamic threshold is proposed to extract the passenger’s stop point outside the subway system. Finally, the complete trajectories of subway passengers are obtained. The proposed algorithms are verified using a set of MSD collected in Suzhou, China. The results show that the proposed algorithms can effectively extract the complete travel trajectory of subway passengers.


    Access

    Download


    Export, share and cite



    Title :

    Extracting the Complete Travel Trajectory of Subway Passengers Based on Mobile Phone Data


    Contributors:
    Junwei Zhang (author) / Wei Wu (author) / Qixiu Cheng (author) / Weiping Tong (author) / Anish Khadka (author) / Xiao Fu (author) / Ziyuan Gu (author)


    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Deriving Travel Behavior Data of Urban Subway Passengers from Mobile Phone Network

    Hu, Yongkai / Yang, Binbin / Ji, Xiangfeng et al. | ASCE | 2014


    Trip Path Identification Method of Subway Passengers Based on Phone Signaling Data

    Li, Jing / Zhang, Ning / Shi, Zhuangbin et al. | ASCE | 2018


    Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data

    Zhong, Gang / Yin, Tingting / Zhang, Jian et al. | Online Contents | 2018


    Characteristics analysis for travel behavior of transportation hub passengers using mobile phone data

    Zhong, Gang / Yin, Tingting / Zhang, Jian et al. | Online Contents | 2018


    Subway passengers Distributed Systems

    KIM MOO SHANG / AN SANG WOO / KIM KI CHUL et al. | European Patent Office | 2017

    Free access