Abstract
Congestion was one of the most serious global problems which create highly problematic social, economic and environmental conditions. In this regard, we have elaborated a systematic literature review study on the magnitudes of congestion that will attempt to answer this problem by presenting successively the causes of traffic congestion, the economic, societal and environmental issues, the solutions proposed to reduce road congestion and finally the actions to be taken for this purpose. In our pursuit of research, we have found that microscopic modeling has been used effectively to solve the most serious problems of road congestion through urban transportation system applications and road pricing policy. To the contrary, the macroscopic modeling applications are generally geared toward the achievement of long-term goals to alleviate road congestion through road traffic management and improved public transport.
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Derbel, A., Boujelbene, Y. (2020). A Systematic Literature Review of Studies on Road Congestion Modelling. In: Jemili, I., Mosbah, M. (eds) Distributed Computing for Emerging Smart Networks. DiCES-N 2019. Communications in Computer and Information Science, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-030-40131-3_2
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DOI: https://doi.org/10.1007/978-3-030-40131-3_2
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