An intelligent vehicular collision detection and feedback mechanism
| Autor: | Chin-Fa Lin, 林進發 |
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| Rok vydání: | 2011 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 99 With the fast growing of high-tech industry and economics in recent years, the vehicle population has increased dramatically, and the problem of safety driving draws the attention of both researchers and manufacturers. Traffic accident has been listed as one of the top 10 leading causes of death in Taiwan. Given that vehicles are designed to facilitate a smooth means of transportation, manufacturers have long been in the process of designing vehicles based on principles of reliability and safety. However, accidents occur due to reasons such as human negligence of unnoticed obstacles. Most of the research in the literature focused on collision detection between vehicles or utilized the video camera to capture images of the surroundings. Unavoidable accidents occur when the collision detection mechanism fails to detect the approaching objects that are out of sight. In this work, the collision detection scheme between a pedestrian and a vehicle at a road intersection and two cars driving on the same road is addressed. The hand-held mobile devices are adopted for pedestrian positioning with the assistance of the roadside base station, and technique of vehicular ad hoc network and global positioning system. Combined with machine learning technique, a fuzzy lattice reasoning classifier is presented for the above-mentioned two cases to determine if a warming message should be issued. In addition, the system will give an immediate feedback message of collision avoidance for pedestrians to reduce the happening of traffic accidents according to the current road conditions. Simulation results verify the effectiveness and the feasibility of the proposed work. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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