Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport
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 impr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/4/7342 |
| _version_ | 1811307982816804864 |
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| author | Gabino Padrón Carmelo R. García A. Quesada-Arencibia Francisco Alayón Ricardo Pérez |
| author_facet | Gabino Padrón Carmelo R. García A. Quesada-Arencibia Francisco Alayón Ricardo Pérez |
| author_sort | Gabino Padrón |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T09:15:04Z |
| format | Article |
| id | doaj.art-fc66edad961e4dd78c551f39109275d7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:15:04Z |
| publishDate | 2014-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fc66edad961e4dd78c551f39109275d72022-12-22T02:52:47ZengMDPI AGSensors1424-82202014-04-011447342735810.3390/s140407342s140407342Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road TransportGabino Padrón0Carmelo R. García1A. Quesada-Arencibia2Francisco Alayón3Ricardo Pérez4Institute for Cybernetics, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, SpainInstitute for Cybernetics, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, SpainInstitute for Cybernetics, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, SpainInstitute for Cybernetics, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, SpainInstitute for Cybernetics, University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, 35017 Las Palmas, SpainThis 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.http://www.mdpi.com/1424-8220/14/4/7342mobile positioning systemsautomated data collection systemsintelligent transportation systemspattern recognition |
| spellingShingle | Gabino Padrón Carmelo R. García A. Quesada-Arencibia Francisco Alayón Ricardo Pérez Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport Sensors mobile positioning systems automated data collection systems intelligent transportation systems pattern recognition |
| title | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
| title_full | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
| title_fullStr | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
| title_full_unstemmed | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
| title_short | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
| title_sort | using massive vehicle positioning data to improve control and planning of public road transport |
| topic | mobile positioning systems automated data collection systems intelligent transportation systems pattern recognition |
| url | http://www.mdpi.com/1424-8220/14/4/7342 |
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