| Title | The Expansion Module Study of Incident Detection for the Vision-based Vehicle Detector |
| Dept | Transportation Technology and Information Division |
| Year | 2009 |
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| Price | |
| Summary | Vehicle detectors are basic infrastructures for ITS development. In Taiwan, most traditional vehicle detectors are foreign products. Thus, implementation costs are very expensive, and maintenance and related techniques are dominated by foreign agencies. So, IOT and NCTU teams have cooperated on the feasibility study of vehicle detector prototype development since 2006. For the vision-based vehicle detector, the system can successfully identify vehicles in multiple lanes during day or night. The system has also integrated CCTV feasibly. The main purpose of this project focuses on the expansion module development of incident detection for the developed vision-based vehicle detector. In the beginning of our development, some control center operators gave us many practical requests during our visits. These were very important for us so that we could design the module exactly. The proposed incident detection modules in this project work in several incidents including traffic jams, cargo dumping, unusual speed and accidents. Simultaneously, videos of incidents will also be recorded in the vision-based vehicle detector as evidence and for identification. For the operators, a friendly user interface was also implemented. Finally, a one-week field test was carried out at the urban roadway site, and a one-month field test at the control center of Hsueh-Shan Tunnel also has been carried out with CCTV systems. Furthermore, a dual-camera incident detection prototype has also been built by integrating a static camera and a PTZ one with the functions of lost cargo, reverse driving, jaywalking and irregular parking, etc. These functions are demonstrated at the urban site as well. According to the feasibility analysis, this dual-camera incident detector will be combined with enforcement systems for further development. This study will be implemented more comprehensively and provide more complete traffic information in ITS. |
| Post date | 2009/08/26 |
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