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 mobile phone services. However, these are not sufficient for the purpose because of their limited coverage and high costs of installation and...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2017-12-01
|
| Series: | Transport and Telecommunication |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/ttj-2017-0022 |
| _version_ | 1818367892059586560 |
|---|---|
| author | Raiyn Jamal |
| author_facet | Raiyn Jamal |
| author_sort | Raiyn Jamal |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T22:59:16Z |
| format | Article |
| id | doaj.art-8079f1fcd10a4f6890821b9947ea8dc5 |
| institution | Directory Open Access Journal |
| issn | 1407-6179 |
| language | English |
| last_indexed | 2024-12-13T22:59:16Z |
| publishDate | 2017-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Transport and Telecommunication |
| spelling | doaj.art-8079f1fcd10a4f6890821b9947ea8dc52022-12-21T23:28:26ZengSciendoTransport and Telecommunication1407-61792017-12-0118425326210.1515/ttj-2017-0022ttj-2017-0022Developing Vehicle Locations Strategy on Urban RoadRaiyn Jamal0Center for Innovation in Transportation, Tel Aviv University, Israel Computer Science Department, Al Qasemi Academic College, Baqa Al Garbiah, IsraelVarious 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.https://doi.org/10.1515/ttj-2017-0022itsemaroad trafficspeed adaptation |
| spellingShingle | Raiyn Jamal Developing Vehicle Locations Strategy on Urban Road Transport and Telecommunication its ema road traffic speed adaptation |
| title | Developing Vehicle Locations Strategy on Urban Road |
| title_full | Developing Vehicle Locations Strategy on Urban Road |
| title_fullStr | Developing Vehicle Locations Strategy on Urban Road |
| title_full_unstemmed | Developing Vehicle Locations Strategy on Urban Road |
| title_short | Developing Vehicle Locations Strategy on Urban Road |
| title_sort | developing vehicle locations strategy on urban road |
| topic | its ema road traffic speed adaptation |
| url | https://doi.org/10.1515/ttj-2017-0022 |
| work_keys_str_mv | AT raiynjamal developingvehiclelocationsstrategyonurbanroad |