Traffic State Estimation Using Connected Vehicles and Stationary Detectors
Real-time traffic state estimation is of importance for efficient traffic management. This is especially the case for traffic management systems that require fast detection of changes in the traffic conditions in order to apply an effective control measure. In this paper, we propose a method for est...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/4106086 |
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| author | Ellen F. Grumert Andreas Tapani |
| author_facet | Ellen F. Grumert Andreas Tapani |
| author_sort | Ellen F. Grumert |
| collection | DOAJ |
| description | Real-time traffic state estimation is of importance for efficient traffic management. This is especially the case for traffic management systems that require fast detection of changes in the traffic conditions in order to apply an effective control measure. In this paper, we propose a method for estimating the traffic state and speed and density, by using connected vehicles combined with stationary detectors. The aim is to allow fast and accurate estimation of changes in the traffic conditions. The proposed method does only require information about the speed and the position of connected vehicles and can make use of sparsely located stationary detectors to limit the dependence on the infrastructure equipment. An evaluation of the proposed method is carried out by microscopic traffic simulation. The traffic state estimated using the proposed method is compared to the true simulated traffic state. Further, the density estimates are compared to density estimates from one detector-based method, one combined method, and one connected-vehicle-based method. The results of the study show that the proposed method is a promising alternative for estimating the traffic state in traffic management applications. |
| format | Article |
| id | doaj-art-055478ce63f342b4b50dc24e0511d02e |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-055478ce63f342b4b50dc24e0511d02e2025-08-20T02:02:57ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/41060864106086Traffic State Estimation Using Connected Vehicles and Stationary DetectorsEllen F. Grumert0Andreas Tapani1Swedish National Road and Transport Research Institute (VTI), 581 95 Linköping, SwedenSwedish National Road and Transport Research Institute (VTI), 581 95 Linköping, SwedenReal-time traffic state estimation is of importance for efficient traffic management. This is especially the case for traffic management systems that require fast detection of changes in the traffic conditions in order to apply an effective control measure. In this paper, we propose a method for estimating the traffic state and speed and density, by using connected vehicles combined with stationary detectors. The aim is to allow fast and accurate estimation of changes in the traffic conditions. The proposed method does only require information about the speed and the position of connected vehicles and can make use of sparsely located stationary detectors to limit the dependence on the infrastructure equipment. An evaluation of the proposed method is carried out by microscopic traffic simulation. The traffic state estimated using the proposed method is compared to the true simulated traffic state. Further, the density estimates are compared to density estimates from one detector-based method, one combined method, and one connected-vehicle-based method. The results of the study show that the proposed method is a promising alternative for estimating the traffic state in traffic management applications.http://dx.doi.org/10.1155/2018/4106086 |
| spellingShingle | Ellen F. Grumert Andreas Tapani Traffic State Estimation Using Connected Vehicles and Stationary Detectors Journal of Advanced Transportation |
| title | Traffic State Estimation Using Connected Vehicles and Stationary Detectors |
| title_full | Traffic State Estimation Using Connected Vehicles and Stationary Detectors |
| title_fullStr | Traffic State Estimation Using Connected Vehicles and Stationary Detectors |
| title_full_unstemmed | Traffic State Estimation Using Connected Vehicles and Stationary Detectors |
| title_short | Traffic State Estimation Using Connected Vehicles and Stationary Detectors |
| title_sort | traffic state estimation using connected vehicles and stationary detectors |
| url | http://dx.doi.org/10.1155/2018/4106086 |
| work_keys_str_mv | AT ellenfgrumert trafficstateestimationusingconnectedvehiclesandstationarydetectors AT andreastapani trafficstateestimationusingconnectedvehiclesandstationarydetectors |