<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Various forecasting schemes have been proposed to manage urban road traffic data, which is collected by different sources such as, videos cameras, sensors and mobile phone services. However, these are not sufficient for the purpose because of their limited coverage and high costs of installation and maintenance. This paper describes urban road congestion as a resource assignment problem in urban areas, in which vehicles are assigned to available sections of road. In order to accomplish this and reduce road congestion, an estimation of the vehicle location is needed. Different strategies for estimating location have been proposed, such as the use of Wi-Fi and cellular systems, and GPS/GNSS. In this process, accuracy plays an important role. Therefore, to increase the accuracy of the primary GNSS system, an augmentation system is considered.</p></abstract>

Various forecasting schemes have been proposed to manage urban road traffic data, which is collected by different sources such as, videos cameras, sensors and mobile phone services. However, these are not sufficient for the purpose because of their limited coverage and high costs of installation and maintenance. This paper describes urban road congestion as a resource assignment problem in urban areas, in which vehicles are assigned to available sections of road. In order to accomplish this and reduce road congestion, an estimation of the vehicle location is needed. Different strategies for estimating location have been proposed, such as the use of Wi-Fi and cellular systems, and GPS/GNSS. In this process, accuracy plays an important role. Therefore, to increase the accuracy of the primary GNSS system, an augmentation system is considered.

Developing Vehicle Locations Strategy on Urban Road

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Developing Vehicle Locations Strategy on Urban Road"}

Various forecasting schemes have been proposed to manage urban road traffic data, which is collected by different sources such as, videos cameras, sensors and...

Developing Vehicle Locations Strategy on Urban Road

Online veröffentlicht: 22. Nov. 2017

Seitenbereich: 253 - 262

DOI: https://doi.org/10.1515/ttj-2017-0022

Schlüsselwörter
ITS, EMA, road traffic, speed adaptation

© Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Developing Vehicle Locations Strategy on Urban Road

Online veröffentlicht: 22. Nov. 2017

Seitenbereich: 253 - 262

DOI: https://doi.org/10.1515/ttj-2017-0022

SchlüsselwörterITS, EMA, road traffic, speed adaptation

© Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
ITS, EMA, road traffic, speed adaptation