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

Sensors

Gabino Padrón²  Carmelo R. Garc໚¹  A. Quesada-Arencibia²  Francisco Alayón² 

[1] Institute for Cybernetics, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, Spain,

关键词: mobile positioning systems;    automated data collection systems;    intelligent transportation systems;    pattern recognition;   

DOI  :  10.3390/s140407342

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.