Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-21344-1_22 | IWINAC (1) |
Keywords | Field | DocType |
unusual behavior,drive speed command,independent event,conflictive situation,event-based system,traffic congestion,traffic service,basic event processing,alternative route,road congestion,complex event processing,new situation,traffic center | Computer security,Computer science,Complex event processing,Carriageway,Intelligent transportation system,Independence (probability theory) | Conference |
Volume | ISSN | Citations |
6686 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
C. Sotomayor-Martínez | 1 | 0 | 0.34 |
Rafael Toledo-Moreo | 2 | 327 | 31.58 |