Vehicle re-identification for lane-based travel time estimations on congested urban road networks using video images

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

  • Cheng Zhang
  • Bi Yu Chen
  • William H. K. Lam
  • H. W. Ho
  • Xiaomeng Shi
  • Xiaoguang Yang
  • Wei Ma
  • S. C. Wong

Detail(s)

Original languageEnglish
Journal / PublicationIEEE Transactions on Intelligent Transportation Systems
Online published13 Oct 2021
Publication statusOnline published - 13 Oct 2021

Abstract

The provision of lane-level travel time information can enable accurate traffic control and route guidance in urban roads with distinctive traffic conditions among lanes. However, few studies in the literature have been conducted to estimate lane-level travel time distributions. This study proposes a new vehicle re-identification (V-ReID) method for estimating lane-level travel time distributions using video images from widely deployed surveillance cameras. In the proposed method, a lane-based bipartite graph matching is introduced to obtain optimal matches between upstream and downstream vehicles by considering lane-level traffic conditions and vehicles' lane changing behaviors and visual features. A lane-based travel time estimation technique is introduced to real-time estimate full spectrum of lane-level distribution parameters, including not only the mean but also the standard deviation and the distribution type. A comprehensive case study is carried out on a congested urban road in Hong Kong. Results of case study show that the proposed method outperforms the state-of-the-art link-based V-ReID method and is capable for providing accurate lane-level travel time distribution information on congested urban roads.

Research Area(s)

  • Cameras, Detectors, Estimation, Feature extraction, lane-changing behaviors, lane-level travel time distributions, Roads, Standards, Vehicle re-identification, video images, Visualization

Citation Format(s)

Vehicle re-identification for lane-based travel time estimations on congested urban road networks using video images. / Zhang, Cheng; Chen, Bi Yu; Lam, William H. K.; Ho, H. W.; Shi, Xiaomeng; Yang, Xiaoguang; Ma, Wei; Wong, S. C.; Chow, Andy H. F.

In: IEEE Transactions on Intelligent Transportation Systems, 13.10.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review