Urban Traffic Signal Control under Mixed Traffic Flows: Literature Review
Author:
Affiliation:
1. Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
2. INTIS d.o.o., Bani 73a, Buzin, 10000 Zagreb, Croatia
Abstract
Funder
Croatian Science Foundation
Science Foundation of the Faculty of Transport and Traffic Sciences
European Regional Development Fund
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/7/4484/pdf
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3. Centre for Economics and Business Research (2022, August 11). The Future Economic and Environmental Costs of Gridlock in 2030. Available online: https://www.ibtta.org/sites/default/files/documents/MAF/Costs-of-Congestion-INRIX-Cebr-Report%20(3).pdf.
4. Computational Intelligence in Urban Traffic Signal Control: A Survey;Zhao;IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.),2012
5. Zahid, M., Chen, Y., Jamal, A., and Memon, M.Q. (2020). Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers. Sensors, 20.
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