<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.</p></abstract>

This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.

Road Traffic Congestion Management Based on a Search-Allocation Approach

Computer Science Department, Al Qasemi Academic College, Baqa El Gharbia,

Transport and Telecommunication Journal

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

{"article-title":"Road Traffic Congestion Management Based on a Search-Allocation Approach"}

This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination...

Road Traffic Congestion Management Based on a Search-Allocation Approach

Online veröffentlicht: 25. Feb. 2017

Seitenbereich: 25 - 33

DOI: https://doi.org/10.1515/ttj-2017-0003

Schlüsselwörter
ITS, forecast scheme, road traffic management, location detection

© 2017 Transport and Telecommunication Institute

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

Road Traffic Congestion Management Based on a Search-Allocation Approach

Online veröffentlicht: 25. Feb. 2017

Seitenbereich: 25 - 33

DOI: https://doi.org/10.1515/ttj-2017-0003

SchlüsselwörterITS, forecast scheme, road traffic management, location detection

© 2017 Transport and Telecommunication Institute

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

Schlüsselwörter
ITS, forecast scheme, road traffic management, location detection