The increasing mobility has led to unbearable levels of congestion and a deterioration in the quality of life due to its negative externalities. Today, Bucharest city has reached a degree of motorization of about 700 vehicles per 1000 inhabitants and it is constantly growing. Under these conditions, correlated and simultaneous measures are needed to reduce traffic congestion. Among them, it is rigorous planning of trips distribution, modal split and route assignment, and large-scale use of public passenger transport. Rigorous transport studies need to be conducted to determine the current transport demand and to formulate some empirical laws for estimating its evolution. The paper discusses the models for estimating transport demand, as they are of great importance in establishing the capacity of the transport infrastructure, the size of the investments to be made as well as the amortization duration of the invested funds. The paper presents an original case study conducted for a city using a synthetic gravitational model to identify the transport demand and the parameters of travel as well as their influence on transport potentials. This highlights the differences between planning models and their implications in conducting traffic studies.
Reducing Traffic Congestion Through Optimal Planning
Lect. Notes in Networks, Syst.
International Conference Interdisciplinarity in Engineering ; 2021 ; Targu Mures, Romania October 07, 2021 - October 08, 2021
The 15th International Conference Interdisciplinarity in Engineering ; Kapitel : 58 ; 651-660
2022-02-02
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Reducing Traffic Congestion Through Optimal Planning
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