In Italy, road vehicles are the preferred mean of transport. Over the last years, in almost all the EU Member States, the passenger car fleet increased. The high number of vehicles complicates urban planning and often results in traffic congestion and areas of increased air pollution. Overall, efficient traffic control is profitable in individual, societal, financial, and environmental terms. Traffic management solutions typically require the use of simulators able to capture in detail all the characteristics and dependencies associated with real-life traffic. Therefore, the realization of a traffic model can help to discover and control traffic bottlenecks in the urban context. In this paper, we analyze how to better simulate vehicle flows measured by traffic sensors in the streets. A dynamic traffic model was set up starting from traffic sensors data collected every minute in about 300 locations in the city of Modena. The reliability of the model is discussed and proved with a comparison between simulated values and real values from traffic sensors. This analysis pointed out some critical issues. Therefore, to better understand the origin of fake jams and incoherence with real data, we approached different configurations of the model as possible solutions.
Using Real Sensors Data to Calibrate a Traffic Model for the City of Modena
Advs in Intelligent Syst., Computing
International Conference on Intelligent Human Systems Integration ; 2020 ; Modena, Italy February 19, 2020 - February 21, 2020
2020-01-22
6 pages
Article/Chapter (Book)
Electronic Resource
English
DataCite | 1875
Using geometric primitives to calibrate traffic scenes
Elsevier | 2007
|Using geometric primitives to calibrate traffic scenes
Online Contents | 2007
|An heuristic method to calibrate a stochastic traffic assignment model
British Library Conference Proceedings | 1998
|An heuristic method to calibrate a stochastic traffic assignment model
British Library Conference Proceedings | 1998
|