RT Journal Article
T1 Traffic Monitoring via Mobile Device Location.
A1 Martín, Juan
A1 Khatib, Emil Jatib
A1 Lázaro-Legaz, Pedro
A1 Barco-Moreno, Raquel
K1 Global Positioning System
K1 Telecomunicaciones
AB Measuring traffic in real time is one of the main functionalities of Smart Cities. To reduce the costs of deployment and operation, traffic measurement with mobile devices has been widely studied. In this paper, a traffic monitoring system using mobile devices is proposed. The proposed algorithm has the advantage of having a very low computational cost, allowing most of the pre-processing to be done in the mobile device and therefore making possible the centralized collection of a massive number of measurements. The proposed system is composed of three algorithms; a map-matching algorithm to correct minor location errors, a Virtual Inductive Loop that estimates the traffic and a traffic data collector that aggregates the information from many devices and combines it with other information sources. The system has been tested in a real scenario, comparing its accuracy with a traditional traffic sensor, showing its accuracy.
PB MDPI
YR 2019
FD 2019-10-15
LK https://hdl.handle.net/10630/34295
UL https://hdl.handle.net/10630/34295
LA eng
NO Martín, J.; Khatib, E.J.; Lázaro, P.; Barco, R. Traffic Monitoring via Mobile Device Location. Sensors 2019, 19, 4505.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 1 mar 2026