Name
Title | ||
|---|---|---|
Vehicle Collision Probability Calculation For General Traffic Scenarios Under Uncertainty |
Abstract | ||
|---|---|---|
Vehicle-to-vehicle (V2V) communication systems allow vehicles to share state information with one another to improve safety and efficiency of transportation networks. One of the key applications of such a system is in the prediction and avoidance of collisions between vehicles. If a method to do this is to succeed it must be robust to measurement uncertainty. The method should also be general enough that it does not rely on constraints on vehicle motion for the accuracy of its predictions. It should work for all interactions between vehicles and not just a select subset. This paper presents a method for collision probability calculation that addresses these problems. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IVS.2014.6856430 | 2014 IEEE INTELLIGENT VEHICLES SYMPOSIUM PROCEEDINGS |
Keywords | Field | DocType |
uncertainty,vectors,support vector machines,mobile communication,measurement uncertainty,mathematical model,trajectory | State information,Simulation,Collision probability,Communications system,Measurement uncertainty,Control engineering,Vehicle Information and Communication System,Engineering,Traffic conflict | Conference |
ISSN | Citations | PageRank |
1931-0587 | 8 | 0.54 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James R. Ward | 1 | 15 | 3.04 |
| Gabriel Agamennoni | 2 | 194 | 16.42 |
| Stewart Worrall | 3 | 157 | 23.78 |
| Eduardo Mario Nebot | 4 | 1255 | 224.24 |