Smart City Gnosys

Smart city article details

Title Traffic Analysis In A Smart City
ID_Doc 58524
Authors Bachechi C.; Po L.
Year 2019
Published Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence Workshops, WI 2019 Companion
DOI http://dx.doi.org/10.1145/3358695.3361842
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 Association for Computing Machinery.
Author Keywords Big data analytics; Data Modelling; Real Time Data; Smart city; Smart mobility; Time series; Traffic analysis; Traffic modelling


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