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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin Gao Li Gao Gang Dong |
| Copyright Year | 2011 |
| Abstract | Driver plays an important role in traffic control system, but negligence, fatigue etc. caused by the driver may give rise to a large number of traffic accidents. Therefore, combining artificial intelligence theory and technology with the road traffic control system, unmanned vehicles can decrease road accidents indeed. This article summarized further research on the processes of driving behaviors for artificial driving and intelligent driving based on cognitive science and scene simulation. First, we built artificial and intelligent driving behavior with information processing, and provided a favorable basis for the advanced achievements of the intelligent vehicles' control. Second, scene simulation system was established by Creator and Vega Prime. Finally, based on test data, we investigated the features of latitudinal distance and velocity in both driving modes. Our results describe that the intelligent vehicle does have the ability of cognizance, and it can make correct reactions corresponding to the driving environment, but its intelligence still needs improving. |
| Starting Page | 226 |
| Ending Page | 229 |
| File Size | 377355 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457709609 |
| DOI | 10.1109/ISIE.2011.15 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Driving behavior Intelligent vehicles Roads Intelligent vehicle Psychology Information processing Cognitive science Scene simulation Mathematical model Artificial intelligence Vehicles |
| Content Type | Text |
| Resource Type | Article |
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