Comparing Wireless Traffic Tracking with Regular Traffic Control Systems for the Detection of Congestions in Streets Fernández Ares, Antonio Javier García Arenas, María Isabel Mora García, Antonio Miguel Castillo Valdivieso, Pedro Ángel Merelo Guervos, Juan Julián Smart cities Traffic monitoring Traffic tracking Bluetooth detection Detecting congestions on streets is one of the main issues in the area of smart cities. Regular monitoring methods can supply information about the number of vehicles in transit and thus the saturation of the streets, but they are usually expensive and intrusive with respect to the road. In recent years a new trend in traffic detection has arisen, considering the Wireless signals emitted by ‘smart’ on-board devices for counting and tracking vehicles. In this paper, two traffic monitoring methods are compared: detections using a regular Inductive Loop Detector on the road and an own Wireless Tracking System based on Bluetooth detection called Mobywit. The correlation between the day of the week and the hour with the traffic flow in a metropolitan busy street has been analysed. Assuming that our system is not able to defect all the vehicles, but just only subset of them, it is expected a causality between the results obtained using the two methods. This means, that the Bluetooth-based system can detect the same variations in the traffic flow that the regular loop detector, but having two main advantages: the tracking possibilities and a much lower cost. 2016-10-25T08:23:16Z 2016-10-25T08:23:16Z 2016 info:eu-repo/semantics/bookPart Fernández-Ares, A.; et al. Comparing Wireless Traffic Tracking with Regular Traffic Control Systems for the Detection of Congestions in Streets. In: E. Alba, F. Chicano, G. Luque (coords.). Smart Cities. First International Conference, Smart-CT 2016, Málaga, Spain, June 15-17, 2016, Proceedings. Berlin: Springer, 2016. (Lecture Notes in Computer Science; 9704). pp. 42-51. [http://hdl.handle.net/10481/43097] 978-3-319-39595-1 978-3-319-39594-4 0302-9743 http://hdl.handle.net/10481/43097 10.1007/978-3-319-39595-1_5 eng Lecture Notes in Computer Science;9704 info:eu-repo/semantics/openAccess Springer International Publishing