Study on reduction of the fuel consumption and the pollution by using traffic management systems in urban areas

Abstract

The traffic management systems are implemented on a large scale during the last decades in urban areas due to their feature to optimize the traffic capacity, in a simultaneous and real time, not only at the individual junctions but also the entire city level. This is achieved through the short term predictions, using the traffic data bases collected by the specific sensors from the traffic controlled crossroads or from other places into the city street network, data that’s used on-line in order to optimize the traffic lights cycles onto all the controlled crossroads. In this way it is accomplished a optimal capacity for a certain traffic volume over a period of time. Using this method good results are obtained considering the reduction of the fuel consumption and of the pollution level. Another result is the increasing of the average speed of vehicles and the decreasing waiting times on the crossroads, which is beneficial for both cars and public transport. The case study for the Pitesti city highlights these aspects and shows how the urban transport model could be used for quantifying the effects of implementing the traffic management systems. The paperwork summary regarding the public transportation is attached.