Extracting the Complete Travel Trajectory of Subway Passengers Based on Mobile Phone Data. (25th January 2022)

• Record Type: Journal Article
• Authors: Zhang, Junwei; Wu, Wei; Cheng, Qixiu; Tong, Weiping; Khadka, Anish; Fu, Xiao; Gu, Ziyuan
• Other Names: Macioszek Elżbieta Academic Editor.
• Is Part Of: Journal of advanced transportation. Volume 2022(2022)
• Publication Date: 2022-01-25
• Subjects: Transportation -- Periodicals; 388.05
• DOI: 10.1155/2022/8151520
• Languages: English
• ISSNs: 0197-6729

Abstract

Abstract : 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.