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Sensors 2014, 14(4), 7342-7358; doi:10.3390/s140407342
Article

Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport

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Received: 13 March 2014; in revised form: 15 April 2014 / Accepted: 17 April 2014 / Published: 23 April 2014
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Abstract: This study describes a system for the automatic recording of positioning data for public transport vehicles used on roads. With the data provided by this system, transportation-regulatory authorities can control, verify and improve the routes that vehicles use, while also providing new data to improve the representation of the transportation network and providing new services in the context of intelligent metropolitan areas. The system is executed autonomously in the vehicles, by recording their massive positioning data and transferring them to remote data banks for subsequent processing. To illustrate the utility of the system, we present a case of application that consists of identifying the points at which vehicles stop systematically, which may be points of scheduled stops or points at which traffic signals or road topology force the vehicle to stop. This identification is performed using pattern recognition techniques. The system has been applied under real operating conditions, providing the results discussed in the present study.
Keywords: mobile positioning systems; automated data collection systems; intelligent transportation systems; pattern recognition mobile positioning systems; automated data collection systems; intelligent transportation systems; pattern recognition
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Padrón, G.; García, C.R.; Quesada-Arencibia, A.; Alayón, F.; Pérez, R. Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport. Sensors 2014, 14, 7342-7358.

AMA Style

Padrón G, García CR, Quesada-Arencibia A, Alayón F, Pérez R. Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport. Sensors. 2014; 14(4):7342-7358.

Chicago/Turabian Style

Padrón, Gabino; García, Carmelo R.; Quesada-Arencibia, A.; Alayón, Francisco; Pérez, Ricardo. 2014. "Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport." Sensors 14, no. 4: 7342-7358.


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