A probabilistic estimation of traffic congestion using Bayesian network-Reference-Cited by-同舟云学术

A probabilistic estimation of traffic congestion using Bayesian network

Published:2021-04 Issue: Volume:174 Page:109051
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Afrin Tanzina,Yodo Nita

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference65 articles.

1. T.K. Reed, Joshua, 2018 Global Traffic Scorecard, 2019.

2. T. Reed, 2019 INRIX Global Traffic Scorecard, 2020.

3. Measuring traffic congestion-a critical review;Aftabuzzaman;Australasian Transport Research Forum (ATRF),2007

4. C. Systematics, Traffic congestion and reliability: Trends and advanced strategies for congestion mitigation, United States. Federal Highway Administration, 2005.

5. J.C. Falcocchio, H.S. Levinson, Road traffic congestion: a concise guide. Vol. 7. 2015, Springer.

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