Multi-Type traffic sensor system design for multi-period network-wide speed-flow estimation with day-to-day uncertainties
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/21680566
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Supplemental Notes:
- © 2024 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Fu, Hao
- Lam, William H K
- Ho, H W
- Ma, Wei
- Tam, Mei Lam
- Fu, Jingyi
- Zhang, Yongsheng
- Publication Date: 2024-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 2328146
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Serial:
- Transportmetrica B: Transport Dynamics
- Volume: 12
- Issue Number: 1
- Publisher: Taylor & Francis
- ISSN: 2168-0566
- EISSN: 2168-0582
- Serial URL: https://www.tandfonline.com/toc/ttrb20/current
Subject/Index Terms
- TRT Terms: Hourly; Location; Origin and destination; Sensors; Speed; Traffic flow; Uncertainty
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01944029
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 27 2025 3:39PM