Mining Massive Truck GPS data for Freight OD Estimation: Case study of Liaoning Province in China
ID:51 View Protection:ATTENDEE Updated Time:2021-12-03 10:12:53 Hits:327 Poster Presentation

Start Time:2021-12-17 08:15(Asia/Shanghai)

Duration:1min

Session:P1 Poster2020 » P1T1Track 1 Advanced Transportation Information and Control Engineering

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Abstract
With the increasing installations of GPS devices on trucks, massive GPS data provide the possibility of extracting daily trips with detailed and comprehensive information. A framework for truck OD estimation is proposed and tested in a truck traveling analysis in Liaoning Province. Emphasis trips are classified into two categories depending on highway usage, and four key indicators with the corresponding haul distance distribution are compared with travel survey data for validation. Meanwhile, trips with short-haul distances are classified into yard and road trips, where the latter category can help estimate road maintenance with load information in the future study. Results show that the haul distribution and the key indicators are relatively the same with the corresponding values of the survey data. Thus, GPS data could be used to describe the freight features in Liaoning Province.
Keywords
CICTP
Speaker
Xiaolei Ma
Beihang University

Submission Author
Xiaolei Ma Beihang University
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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