What is it about?
Following the implementation of a micro-simulation model in the city of Modena based on actual data from traffic sensors, a huge amount of information that describes daily traffic flows within the city were available. This paper reports an in-depth investigation of traffic flows in order to discover trends. Traffic analyses to compare working days, weekends and to identify significant deviations are performed. Moreover, traffic flows estimations were studied during special days such as weather alert days or holidays to discover particular tendencies.
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Why is it important?
The paper presents a methodology to simulate traffic flow starting from vehicle counts using the open-source model SUMO (Simulation of Urban MObility) . Moreover, the paper describes the procedure to analyze the output of the model in order to discover traffic flow trends, compare different days of the week, and identify the main critical points in the mobility of the city.
Perspectives
This paper may help readers to configure a traffic flow model for their city and efficiently analyse the obtained output.
Chiara Bachechi
University of Modena and Reggio Emilia
Read the Original
This page is a summary of: Traffic Analysis in a Smart City, October 2019, ACM (Association for Computing Machinery),
DOI: 10.1145/3358695.3361842.
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