The value of route planning data for origin-destination estimation and prediction

Cheng Zhang, Chengyuan Ma, Xiaoguang Yang, William H.K. Lam, Yuelong Su, Zhenning Dong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The origin-destination (OD) estimation and prediction have received lots of attention over the last several decades. However, few approaches considered route planning data. The data come from mobile map applications where some travelers plan their trips before departure. To some extents, they imply future OD demand. Motivated by this, the paper compares the volumes of planned trips and actually occurred trips extracted from trajectory data. Strong correlation (more than 0.97) exists between them. Planned trips are generally more than actual trips, especially for long-distance travel (64% more). For morning and evening peak hours, their volumes fluctuate more. These conclusions show the value of route planning data for OD estimation and prediction. Specific approaches can be studied on the basis of this preliminary analysis, but they are not included in this paper.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
Subtitle of host publicationTransport and Smart Cities
EditorsAndy H.F. Chow, S.M. Lo, Lishuai Li
PublisherHong Kong Society for Transportation Studies Limited
Pages355-362
Number of pages8
ISBN (Electronic)9789881581488
Publication statusPublished - 1 Jan 2010
Event24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019 - Hong Kong, Hong Kong
Duration: 14 Dec 201916 Dec 2019

Publication series

NameProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities

Conference

Conference24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
CountryHong Kong
CityHong Kong
Period14/12/1916/12/19

Keywords

  • Estimation
  • Mobile phone
  • Origin-destination
  • Prediction
  • Route planning data

ASJC Scopus subject areas

  • Building and Construction
  • Information Systems
  • Civil and Structural Engineering
  • Transportation
  • Computer Networks and Communications

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