Multi-Type traffic sensor system design for multi-period network-wide speed-flow estimation with day-to-day uncertainties

Hao Fu, William H.K. Lam, H. W. Ho, Wei Ma, Mei Lam Tam, Jingyi Fu, Yongsheng Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Owing to budget limitations, traffic sensors cannot be installed on each link of a road network in practice. Thus, optimizing the locations of a limited number of sensors is crucial for development of various intelligent transportation systems. This paper devises a multi-type traffic sensor location model with consideration of day-to-day flow variations by hourly period. Based on the devised model, network-wide link speeds and flows in multiple periods, even on those links without installed sensors, can be estimated. The link speed and flow estimator is formulated as a bi-level model, in which the upper-level model estimates multi-period origin–destination (OD) demands, and the lower-level model assigns the resultant OD demands onto the study network to obtain the hourly link flows and speeds. The case studies on both synthetic and real road networks demonstrate the cost-effectiveness of the multi-period multi-type sensor location scheme and provide valuable insights.

Original languageEnglish
Article number2328146
JournalTransportmetrica B
Volume12
Issue number1
DOIs
Publication statusPublished - 14 Mar 2024

Keywords

  • multi-type sensors
  • multiple periods
  • Sensor location
  • speed-flow estimation

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Transportation

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