Traffic Monitoring via Mobile Device Location

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...

Full description

Bibliographic Details
Main Authors: Juan Martín, Emil J. Khatib, Pedro Lázaro, Raquel Barco
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
gps
Online Access:https://www.mdpi.com/1424-8220/19/20/4505
id doaj-52480874c562443fb2f233a61ac6a9eb
record_format Article
spelling doaj-52480874c562443fb2f233a61ac6a9eb2020-11-25T01:55:55ZengMDPI AGSensors1424-82202019-10-011920450510.3390/s19204505s19204505Traffic Monitoring via Mobile Device LocationJuan Martín0Emil J. Khatib1Pedro Lázaro2Raquel Barco3Communications Engineering Department, Universidad de Málaga, 29630 Málaga, SpainCommunications Engineering Department, Universidad de Málaga, 29630 Málaga, SpainCommunications Engineering Department, Universidad de Málaga, 29630 Málaga, SpainCommunications Engineering Department, Universidad de Málaga, 29630 Málaga, SpainMeasuring 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.https://www.mdpi.com/1424-8220/19/20/4505traffic monitoring systemgpsmap-matchingsmartphonestraffic occupancysmart-city
collection DOAJ
language English
format Article
sources DOAJ
author Juan Martín
Emil J. Khatib
Pedro Lázaro
Raquel Barco
spellingShingle Juan Martín
Emil J. Khatib
Pedro Lázaro
Raquel Barco
Traffic Monitoring via Mobile Device Location
Sensors
traffic monitoring system
gps
map-matching
smartphones
traffic occupancy
smart-city
author_facet Juan Martín
Emil J. Khatib
Pedro Lázaro
Raquel Barco
author_sort Juan Martín
title Traffic Monitoring via Mobile Device Location
title_short Traffic Monitoring via Mobile Device Location
title_full Traffic Monitoring via Mobile Device Location
title_fullStr Traffic Monitoring via Mobile Device Location
title_full_unstemmed Traffic Monitoring via Mobile Device Location
title_sort traffic monitoring via mobile device location
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-10-01
description 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.
topic traffic monitoring system
gps
map-matching
smartphones
traffic occupancy
smart-city
url https://www.mdpi.com/1424-8220/19/20/4505
work_keys_str_mv AT juanmartin trafficmonitoringviamobiledevicelocation
AT emiljkhatib trafficmonitoringviamobiledevicelocation
AT pedrolazaro trafficmonitoringviamobiledevicelocation
AT raquelbarco trafficmonitoringviamobiledevicelocation
_version_ 1724982541165789184