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 / Bachechi, Chiara; Rollo, Federica; Desimoni, Federico; Po, Laura. - (2020). ((Intervento presentato al convegno 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020) tenutosi a Modena nel February 19-21, 2020 [10.1007/978-3-030-39512-4_73].

Using real sensors data to calibrate a traffic model for the city of Modena

Chiara Bachechi;Federica Rollo;Federico Desimoni;Laura Po
2020

Abstract

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.
feb-2020
3rd International Conference on Intelligent Human Systems Integration (IHSI 2020)
Modena
February 19-21, 2020
Bachechi, Chiara; Rollo, Federica; Desimoni, Federico; Po, Laura
Using real sensors data to calibrate a traffic model for the city of Modena / Bachechi, Chiara; Rollo, Federica; Desimoni, Federico; Po, Laura. - (2020). ((Intervento presentato al convegno 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020) tenutosi a Modena nel February 19-21, 2020 [10.1007/978-3-030-39512-4_73].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1188768
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