A statistical analysis of simulated road traffic in the city of Oran is used in order to propose solutions for pollution reduction. There is a large number of vehicles circulating in Oran, leading often to traffic jams. These jams are an important source of air pollution because of the high fuel consumption. A characterization of the different phases of road traffic is required to predict and prevent the congestion phase. The SUMO code is used in this work to simulate the movement of cars on the most important roads and crossroads in Oran. A flow and velocity analysis clearly shows the existence of a critical vehicle density at which congestion phase transition appears. From the results analysis, it is concluded that at high speeds a car is polluting fast compared to average speeds. It has been noticed that the closer we get to traffic jams, higher is the pollution.
In a next step the effect of road signs and traffic lights would be examined to optimize the signaling as to reduce traffic jams and of course emissions of organic volatiles.
Analysis of Pollution Caused by Road Traffic in the City of Oran
Springer Proceed. in Energy
2020-06-11
7 pages
Article/Chapter (Book)
Electronic Resource
English
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