DocumentCode :
154901
Title :
Smartphone sensor platform to study traffic conditions and assess driving performance
Author :
Goncalves, Joaquim ; Goncalves, Joao S. V. ; Rossetti, Rosaldo J. F. ; Olaverri-Monreal, Cristina
Author_Institution :
Dept. of Mech. Eng., Tech. Univ. Munchen, München, Germany
fYear :
2014
fDate :
8-11 Oct. 2014
Firstpage :
2596
Lastpage :
2601
Abstract :
Sensor technology available in smartphones enables the monitoring of mobility patterns, which could be of particular interest for the transportation sector. For example, driving time information can help to determine if a selected path is the most convenient. Moreover, measurements related to the time expended on the road and origin destination matrices can lead to conclusions related to the organization of travel schedules and routes, enhancing reliability and resulting in a shorter total traveling time. Relying on GPS-based Floating Car Data (FCD), we designed a platform to acquire data for the evaluation of traffic conditions and driving performance using mobile phone sensors. Users control the activation of the tracking activity themselves and can benefit from information provided by other users´ records. Additional metrics related to the travel time and vehicle´s speeds contribute to the assessment of traffic management issues. Conclusions regarding possible applications of the tool are outlined.
Keywords :
road traffic; smart phones; traffic engineering computing; FCD; GPS-based floating car data; Global Positioning System; driving performance assessment; driving time information; mobility patterns; smart phone sensor platform; traffic conditions; traffic management; transportation sector; Androids; Humanoid robots; Monitoring; Roads; Schedules; Servers; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ITSC.2014.6958106
Filename :
6958106
Link To Document :
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