Multisensor Data Fusion
Applying Event Stream Processing on Traffic Problem Detection
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
High-Integrity IMM-EKF-Based Road Vehicle Navigation With Low-Cost GPS/SBAS/INS
IEEE Transactions on Intelligent Transportation Systems
| Hi-index | 0.00 |
When traffic grows and a large number of vehicles meet on the same road stretch, any unusual behavior of a vehicle causes a change on the scene, pushing the rest of vehicles to adapt to the new situation. In these cases, the challenge is not only to predict conflictive situations, but also to do it in time. This paper focuses on the detection of traffic congestions by means of analyzing the behavior of the vehicles that conform a scene as independent events that influence one another. A Complex Event Processing (CEP) engine is employed for basic event processing and the establishment of relations among events, raising up the awareness of the situation as the linked events induce more and more complex ones. Once the status of the carriageway is known, the traffic center can determine what to do to reduce congestion and launches services such as drive speed commands or alternative routes.