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 condi...
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| Format: | Article |
| Language: | English |
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Sciendo
2017-03-01
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| Series: | Transport and Telecommunication |
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| Online Access: | https://doi.org/10.1515/ttj-2017-0003 |
| _version_ | 1811272836958912512 |
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| author | Raiyn Jamal |
| author_facet | Raiyn Jamal |
| author_sort | Raiyn Jamal |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T22:47:23Z |
| format | Article |
| id | doaj.art-c673a846525b4256ab6add96348ac145 |
| institution | Directory Open Access Journal |
| issn | 1407-6179 |
| language | English |
| last_indexed | 2024-04-12T22:47:23Z |
| publishDate | 2017-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Transport and Telecommunication |
| spelling | doaj.art-c673a846525b4256ab6add96348ac1452022-12-22T03:13:29ZengSciendoTransport and Telecommunication1407-61792017-03-01181253310.1515/ttj-2017-0003ttj-2017-0003Road Traffic Congestion Management Based on a Search-Allocation ApproachRaiyn Jamal0Computer Science Department, Al Qasemi Academic College, Baqa El Gharbia, IsraelThis 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.https://doi.org/10.1515/ttj-2017-0003itsforecast schemeroad traffic managementlocation detection |
| spellingShingle | Raiyn Jamal Road Traffic Congestion Management Based on a Search-Allocation Approach Transport and Telecommunication its forecast scheme road traffic management location detection |
| title | Road Traffic Congestion Management Based on a Search-Allocation Approach |
| title_full | Road Traffic Congestion Management Based on a Search-Allocation Approach |
| title_fullStr | Road Traffic Congestion Management Based on a Search-Allocation Approach |
| title_full_unstemmed | Road Traffic Congestion Management Based on a Search-Allocation Approach |
| title_short | Road Traffic Congestion Management Based on a Search-Allocation Approach |
| title_sort | road traffic congestion management based on a search allocation approach |
| topic | its forecast scheme road traffic management location detection |
| url | https://doi.org/10.1515/ttj-2017-0003 |
| work_keys_str_mv | AT raiynjamal roadtrafficcongestionmanagementbasedonasearchallocationapproach |