Authors: Oscar Cárdenas, Alejandra Valencia, Cecilia Montt
Title: CONGESTION MINIMIZATION TROUGH SUSTAINABLE TRAFFIC MANAGEMENT. A MICRO-SIMULATION APPROACH
Keywords: simulation, traffic management, public transport, emissions
Background: The congestion is a serious and often occurring problem in many countries. In present paper the management of a high circulation road connecting two mainstream cities in Chile is tackled. The cities are connected through a coastal road and is permanently under congestion effects. This situation leads to much discontent in the users and negatively impacts both economically and environmentally as well.
The aim of this paper was to create a proposal of solution of road transportation system based on a provided case study.
Methods: To minimize the impact of congestion in this problem setting, a micro-simulation is performed in VISSIM. This model, incorporates the road and its users and represents their driving behavior and its impact on congestion.
Results: Throughout the experiments conducted, the emissions of CO2 are calculated; this allowed to define a set of congestion minimization strategies that also reduce emissions. These strategies were validated under a set of real-world scenarios and were able to solve a set of specific road management problems and optimize average travel time for users.
Conclusions: The model, the strategies and a case study are introduced and discussed to solve the problem of congestion, also, future research directions are given.
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|MLA||Cárdenas, Oscar, et al. "Congestion minimization trough sustainable traffic management. A micro-simulation approach." Logforum 14.1 (2018): 2. DOI: 10.17270/J.LOG.2018.260|
|APA||Oscar Cárdenas, Alejandra Valencia, Cecilia Montt (2018). Congestion minimization trough sustainable traffic management. A micro-simulation approach. Logforum 14 (1), 2. DOI: 10.17270/J.LOG.2018.260|
|ISO 690||CáRDENAS, Oscar, VALENCIA, Alejandra, MONTT, Cecilia. Congestion minimization trough sustainable traffic management. A micro-simulation approach. Logforum, 2018, 14.1: 2. DOI: 10.17270/J.LOG.2018.260|