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Examining the potential of floating car data for dynamic traffic management

Maarten Houbraken (UGent) , Steven Logghe, P. Audenaert (UGent) , Didier Colle (UGent) and Mario Pickavet (UGent)
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Abstract
Traditional traffic monitoring systems are mostly based on road side equipment (RSE) measuring traffic conditions throughout the day. With more and more GPS-enabled connected devices, floating car data (FCD) has become an interesting source of traffic information, requiring only a fraction of the RSE infrastructure investment. While FCD is commonly used to derive historic travel times on individual roads and to evaluate other traffic data and algorithms, it could also be used in traffic management systems directly. However, as live systems only capture a small percentage of all traffic, its use in live operating systems needs to be examined. Here, the authors investigate the potential of FCD to be used as input data for live automated traffic management systems. The FCD in this study is collected by a live country-wide FCD system in the Netherlands covering 6-8% of all vehicles. The (anonymised) data is first compared to available road side measurements to show the current quality of FCD. It is then used in a dynamic speed management system and compared to the installed system on the studied highway. Results indicate the FCD set-up can approximate the installed system, showing the feasibility of a live system.
Keywords
MAP-MATCHING ALGORITHM, TRAVEL-TIME ESTIMATION, PROBE VEHICLE DATA, INFRASTRUCTURE, FEASIBILITY, traffic engineering computing, floating car data, dynamic traffic, management, road side equipment, RSE infrastructure investment, live, country-wide FCD system, dynamic speed management system

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Citation

Please use this url to cite or link to this publication:

MLA
Houbraken, Maarten, et al. “Examining the Potential of Floating Car Data for Dynamic Traffic Management.” IET INTELLIGENT TRANSPORT SYSTEMS, vol. 12, no. 5, Inst Engineering Technology-iet, 2018, pp. 335–44, doi:10.1049/iet-its.2016.0230.
APA
Houbraken, M., Logghe, S., Audenaert, P., Colle, D., & Pickavet, M. (2018). Examining the potential of floating car data for dynamic traffic management. IET INTELLIGENT TRANSPORT SYSTEMS, 12(5), 335–344. https://doi.org/10.1049/iet-its.2016.0230
Chicago author-date
Houbraken, Maarten, Steven Logghe, P. Audenaert, Didier Colle, and Mario Pickavet. 2018. “Examining the Potential of Floating Car Data for Dynamic Traffic Management.” IET INTELLIGENT TRANSPORT SYSTEMS 12 (5): 335–44. https://doi.org/10.1049/iet-its.2016.0230.
Chicago author-date (all authors)
Houbraken, Maarten, Steven Logghe, P. Audenaert, Didier Colle, and Mario Pickavet. 2018. “Examining the Potential of Floating Car Data for Dynamic Traffic Management.” IET INTELLIGENT TRANSPORT SYSTEMS 12 (5): 335–344. doi:10.1049/iet-its.2016.0230.
Vancouver
1.
Houbraken M, Logghe S, Audenaert P, Colle D, Pickavet M. Examining the potential of floating car data for dynamic traffic management. IET INTELLIGENT TRANSPORT SYSTEMS. 2018;12(5):335–44.
IEEE
[1]
M. Houbraken, S. Logghe, P. Audenaert, D. Colle, and M. Pickavet, “Examining the potential of floating car data for dynamic traffic management,” IET INTELLIGENT TRANSPORT SYSTEMS, vol. 12, no. 5, pp. 335–344, 2018.
@article{8563582,
  abstract     = {{Traditional traffic monitoring systems are mostly based on road side equipment (RSE) measuring traffic conditions throughout the day. With more and more GPS-enabled connected devices, floating car data (FCD) has become an interesting source of traffic information, requiring only a fraction of the RSE infrastructure investment. While FCD is commonly used to derive historic travel times on individual roads and to evaluate other traffic data and algorithms, it could also be used in traffic management systems directly. However, as live systems only capture a small percentage of all traffic, its use in live operating systems needs to be examined. Here, the authors investigate the potential of FCD to be used as input data for live automated traffic management systems. The FCD in this study is collected by a live country-wide FCD system in the Netherlands covering 6-8% of all vehicles. The (anonymised) data is first compared to available road side measurements to show the current quality of FCD. It is then used in a dynamic speed management system and compared to the installed system on the studied highway. Results indicate the FCD set-up can approximate the installed system, showing the feasibility of a live system.}},
  author       = {{Houbraken, Maarten and Logghe, Steven and Audenaert, P. and Colle, Didier and Pickavet, Mario}},
  issn         = {{1751-956X}},
  journal      = {{IET INTELLIGENT TRANSPORT SYSTEMS}},
  keywords     = {{MAP-MATCHING ALGORITHM,TRAVEL-TIME ESTIMATION,PROBE VEHICLE DATA,INFRASTRUCTURE,FEASIBILITY,traffic engineering computing,floating car data,dynamic traffic,management,road side equipment,RSE infrastructure investment,live,country-wide FCD system,dynamic speed management system}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{335--344}},
  publisher    = {{Inst Engineering Technology-iet}},
  title        = {{Examining the potential of floating car data for dynamic traffic management}},
  url          = {{http://doi.org/10.1049/iet-its.2016.0230}},
  volume       = {{12}},
  year         = {{2018}},
}

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