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 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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14076179
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Supplemental Notes:
- © 2017 Transport and Telecommunication Institute.
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Authors:
- Raiyn, Jamal
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 25-33
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Serial:
- Transport and Telecommunication Journal
- Volume: 18
- Issue Number: 1
- Publisher: De Gruyter Open
- EISSN: 1407-6179
- Serial URL: https://sciendo.com/journal/TTJ
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Algorithms; Automatic vehicle location; Highway traffic control; Real time information; Traffic congestion; Traffic forecasting
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01629655
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 21 2017 9:14AM