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Smart city article details

Title Implementing An Urban Dynamic Traffic Model
ID_Doc 30622
Authors Bachechi C.; Po L.
Year 2019
Published Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019
DOI http://dx.doi.org/10.1145/3350546.3352537
Abstract The world of mobility is constantly evolving and proposing new technologies, such as autonomous driving, electromobility, shared-mobility or even new air transport systems. We do not know how people and things will be moving within cities in 30 years, but for sure we know that road network planning and traffic management will remain critical issues. The goal of our research is the implementation of a data-driven micro-simulation traffic model for computing everyday simulations of road traffic in a medium-sized city. A dynamic traffic model is needed in every urban area, we introduce an easy-to-set-up solution for cities that already have traffic sensors installed. Daily traffic flows are created from real data measured by induction loop detectors along the urban roads in Modena. The result of the simulation provides a set of "snapshots" of the traffic flow within the Modena road network every minute. The main contribution of the implemented model is the ability, starting from traffic punctual information on 400 locations, to provide an overview of traffic intensity on more than 800 km of roads. © 2019 Association for Computing Machinery.
Author Keywords Big data analyt-ics; Data integration; Data Modelling; IoT; Real Time Data; Simulations; Smart city applications; Smart mobility; Traffic modelling; Traffic sensors


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