Highlights The use of GPS data for truck origin–destination estimation was proposed. GPS data were fused with outputs of existing model created with survey data. Destination choice models were estimated with a Multinomial logit form. Truck traffic variation was investigated over the period of one year using GPS data. Freight movement is heavily influenced by seasonal variations in demand.

    Abstract Large trucking vehicles have a comparatively more significant impact on safety, traffic congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning and operation of truck movement are necessary to reduce these impacts. While heavy truck movement has traditionally been measured through surveys, these remain limited because they are costly and time-consuming. In this study, we propose the use of large streams of GPS data to estimate truck origin–destination flows. Large streams of GPS data have typically been difficult to use as they lack descriptors for key events during a trip unless the data is accompanied by travel diaries. We address this problem by developing a heuristic-based approach to identify the key events, such as truck stops, trips, and other trucking activities. Then, a Pearson correlation coefficient and an entropy measure are applied to compare trucks’ mobility patterns and to determine whether changes in trucks travel patterns have occurred over one year. Finally, we use a multinomial logit structure to estimate destination choice models for five time periods. This research provides a strong case study of how GPS data can be used along with outputs of existing travel demand model (a model created with data collected using traditional techniques) to estimate origin–destination and destination choice models of truck movement in a provincial model setting.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Estimation of truck origin-destination flows using GPS data


    Beteiligte:


    Erscheinungsdatum :

    2022-01-15




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Estimation of Statewide Origin–Destination Truck Flows from Large Streams of GPS Data

    Zanjani, Akbar Bakhshi / Pinjari, Abdul R. / Kamali, Mohammadreza et al. | Transportation Research Record | 2019


    Commodity-Based Truck Origin-Destination Matrix Estimation Using Input-Output Data and Genetic Algorithms

    Al-Battaineh, Omar / Kaysi, Isam | Transportation Research Record | 2005



    Commodity-Based Truck Origin–Destination Matrix Estimation Using Input–Output Data and Genetic Algorithms

    Al-Battaineh, Omar / Kaysi, Isam A. | Transportation Research Record | 2005


    Revised Estimation of Time-Varying Network origin-destination Flows

    Jiao, P. / Lu, H. / Harata, N. et al. | British Library Conference Proceedings | 2006