Spatiotemporal Congestion Recognition Index to Evaluate Performance under Oversaturated Conditions

Author:

Han Yohee,Kim Youngchan

Publisher

Springer Science and Business Media LLC

Subject

Civil and Structural Engineering

Reference22 articles.

1. Cambridge Systematics, Inc. (2005). Traffic congestion and reliability: Trends and advanced strategies for congestion mitigation, Report No. FHWA-HOP-05–064, Federal Highway Administration, Washington, D.C., USA.

2. Dion, F., Rakha, H., and Kang, Y (2004). “Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections.” Transportation Research Part B, Elsevier, Vol. 38, No. 2, pp. 99–122, DOI: https://doi.org/10.1016/S0191-2615(03)00003-1 .

3. European Conference of Ministers of Transport (2007). Managing urban traffic congestion, ECMT, OECD Publishing, Paris, France, pp. 27–30.

4. FHWA (2016). 2015 Urban congestion trends: communicating improved operations with big data. Report No. FHWA-HOP-16–032, FHWA, Washington, D.C., USA.

5. FHWA (2017). 2016 Urban congestion trends: Using technology to measure, manage, and improve operations. Report No. FHWA-HOP-17–010, FHWA, Washington, D.C., USA.

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