<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Through this paper the author aims to study and find solutions for automatic detection of traffic light position and for automatic calculation of the waiting time at traffic light. The first objective serves mainly the road transportation field, mainly because it removes the need for collaboration with local authorities to establish a national network of traffic lights. The second objective is important not only for companies which are providing navigation solutions, but especially for authorities, institutions, companies operating in road traffic management systems. Real-time dynamic determination of traffic queue length and of waiting time at traffic lights allow the creation of dynamic systems, intelligent and flexible, adapted to actual traffic conditions, and not to generic, theoretical models. Thus, cities can approach the Smart City concept by boosting, efficienting and greening the road transport, promoted in Europe through the Horizon 2020, Smart Cities, Urban Mobility initiative.</p></abstract>

Through this paper the author aims to study and find solutions for automatic detection of traffic light position and for automatic calculation of the waiting time at traffic light. The first objective serves mainly the road transportation field, mainly because it removes the need for collaboration with local authorities to establish a national network of traffic lights. The second objective is important not only for companies which are providing navigation solutions, but especially for authorities, institutions, companies operating in road traffic management systems. Real-time dynamic determination of traffic queue length and of waiting time at traffic lights allow the creation of dynamic systems, intelligent and flexible, adapted to actual traffic conditions, and not to generic, theoretical models. Thus, cities can approach the Smart City concept by boosting, efficienting and greening the road transport, promoted in Europe through the Horizon 2020, Smart Cities, Urban Mobility initiative.

Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters

PhD student, Technical University of Civil Engineering, Faculty of Geodesy

Modelling in Civil Environmental Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters"}

Through this paper the author aims to study and find solutions for automatic detection of traffic light position and for automatic calculation of the waiting...

Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters

Online veröffentlicht: 30. Jan. 2017

Seitenbereich: 36 - 45

DOI: https://doi.org/10.1515/mmce-2016-0016

Schlüsselwörter
Intelligent Transportation System, Probe Vehicle Data, mobility

© 2016 Maria Alexandra Roman (Popescu), published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters

Online veröffentlicht: 30. Jan. 2017

Seitenbereich: 36 - 45

DOI: https://doi.org/10.1515/mmce-2016-0016

SchlüsselwörterIntelligent Transportation System, Probe Vehicle Data, mobility

© 2016 Maria Alexandra Roman (Popescu), published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Intelligent Transportation System, Probe Vehicle Data, mobility