Urbanization is accelerating at a high pace. This places new and critical issues on the transition towards smarter, efficient, livable as well as economically, socially and environmentally sustainable cities. Urban Mobility is one of the toughest challenges. In many cities, existing mobility systems are already inadequate, yet urbanization and increasing populations will increase mobility demand still further. Understanding traffic flows within an urban environment, studying similarities (or dissimilarity) among weekdays, finding the peaks within a day are the first steps towards understanding urban mobility. 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 analyzes 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. This preliminary study allowed to identify the main critical points in the mobility of the city.

Traffic analysis in a smart city / Bachechi, C.; Po, L.. - (2019), pp. 275-282. (Intervento presentato al convegno 19th IEEE/WIC/ACM International Conference on Web Intelligence Workshop, WI 2019 tenutosi a Thessaloniki, Greece nel 14 October 2019 through 17 October 2019) [10.1145/3358695.3361842].

Traffic analysis in a smart city

Bachechi C.;Po L.
2019

Abstract

Urbanization is accelerating at a high pace. This places new and critical issues on the transition towards smarter, efficient, livable as well as economically, socially and environmentally sustainable cities. Urban Mobility is one of the toughest challenges. In many cities, existing mobility systems are already inadequate, yet urbanization and increasing populations will increase mobility demand still further. Understanding traffic flows within an urban environment, studying similarities (or dissimilarity) among weekdays, finding the peaks within a day are the first steps towards understanding urban mobility. 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 analyzes 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. This preliminary study allowed to identify the main critical points in the mobility of the city.
2019
19th IEEE/WIC/ACM International Conference on Web Intelligence Workshop, WI 2019
Thessaloniki, Greece
14 October 2019 through 17 October 2019
275
282
Bachechi, C.; Po, L.
Traffic analysis in a smart city / Bachechi, C.; Po, L.. - (2019), pp. 275-282. (Intervento presentato al convegno 19th IEEE/WIC/ACM International Conference on Web Intelligence Workshop, WI 2019 tenutosi a Thessaloniki, Greece nel 14 October 2019 through 17 October 2019) [10.1145/3358695.3361842].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1185938
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