Preparing Data for Urban Traffic Simulation using SUMO

semanticscholar(2013)

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摘要
The ever increasing world population, added to the always present need of human transportation, makes road traffic in the big cities a huge and urgent issue, and, consequently, the target of substantial investigation. This paper introduces the first task of a larger project called COSMO. Using the city of Coimbra as the base, the goal of this project is to simulate the city traffic using a microtraffic simulator. For that, the SUMO platform was used and different experiments were conducted varying the number of cars being simulated, as well as other variables. At the end, the results show that the selected simulator was capable of simulating the Coimbra urban traffic in a realistic fashion, using an origindestination matrix based on real data and routing algorithms. These results show that the simulator can be used in future works related to urban traffic, namely in road network management.
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