Abstract This study develops cell phone location tracking algorithms from a large cell phone network database to estimate the dynamic origin-destination (O-D) traffic flow and travel demand data as well as commuting traffic. A case study was conducted in the Kansas Metro Corridor to analyze the feasibility of using cell phone data to track cross-region (cities) traffic activities, and to derive the O-D traffic, travel demand by time-of-day and commuting traffic data along the traffic corridor based on a 6 week observation period. The results found that the available cell phone network data detected about 17.6% of the daily traffic data compared to the AADT data along the Kansas Metro Corridor. Approximately 58% of the total traffic was determined to be O-D traffic through the study corridor. This indicates that most of the traffic is from three major regions (the Kansas City metropolitan area, the City of Topeka, KS and the City of Lawrence, KS) and the estimated dynamic travel demand can be used for public transportation system planning and schedule arrangements. Due to the low location resolution using the network-based cell phone network, the use of cell phone network in collecting traffic data would be more feasible for long distance or inter-city trips. A longer observation period is also needed to increase the cell phone sample size and could be useful to obtain stable cell phone traffic, reducing the bias of the data.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Estimating Dynamic Origin-Destination Data and Travel Demand Using Cell Phone Network Data


    Beteiligte:


    Erscheinungsdatum :

    30.04.2013


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Improving the generation of synthetic travel demand using origin–destination matrices from mobile phone data

    Matet, Benoît / Côme, Etienne / Furno, Angelo et al. | Springer Verlag | 2024


    Deriving origin–destination data from a mobile phone network

    Caceres, N. / Wideberg, J.P. / Benitez, F.G. | IET | 2007


    Bus network sketch planning with origin-destination travel data

    Viggiano, Cecilia A. (Cecilia Ann) | DSpace@MIT | 2017

    Freier Zugriff

    Dynamic Origin-Destination Demand Estimation Using Automatic Vehicle Identification Data

    National Research Council (U.S.) | British Library Conference Proceedings | 2005


    Extracting origin destination information from mobile phone data

    White, J. / Wells, I. | IET Digital Library Archive | 2002