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Real-Time Monitoring and Control on Signalized Arterials
Open accessAbstract
An analytical model for real-time estimation of travel times along signalized arterials was developed. The application of the model on two arterial sites and comparisons of the estimated travel times with simulated and field data show that the model accurately predicts travel times on the selected sites. In this article, we present several important extensions and refinements to the model including treatment of long queues and queue spillovers, and algorithms for signal priority to transit vehicles. We also describe the integration of the model into an archival data management system for continuous measurement and monitoring of traffic performance along arterials.
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Cited by
Real-time queue length estimation for congested signalized intersections
Liu, H. X., Wu, X., Ma, W., & Hu, H. (2009) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2009.02.003 · Cited by 409
Zhou, J., Chen, S., Choo, K.-K. R., Cao, Z., & Dong, X. (2021) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2021.3110718 · Cited by 22
Metadata
- Authors
- Skabardonis, A., & Geroliminis, N.
- Venue
- Journal of Intelligent Transportation Systems
- Publisher
- Informa UK Limited
- Published
- 2008-04-30
- Volume
- 12
- Issue
- 2
- Pages
- 64-74
- ISSN
- 1024-8072 (ISSN-L)
- 1547-2450
- 1547-2442
- OpenAlex
- W2000075452
- Cited by
- 190
- References
- 0
- FWCI
- 14.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Skabardonis, A., & Geroliminis, N. (2008). Real-Time Monitoring and Control on Signalized Arterials. Journal of Intelligent Transportation Systems. https://doi.org/10.1080/15472450802023337
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.