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Zou T.,Changsha University | Zou T.,Changsha University of Science and Technology | Hu L.,Changsha University | Hu L.,Changsha University of Science and Technology | And 3 more authors.
Forensic Science International | Year: 2015

In order to analyzing the uncertainty in accident reconstruction, based on the theory of extreme value and the convex model theory, the uncertainty analysis problem is turn to an extreme value problem. In order to calculate the range of the dependent variable, the extreme value in the definition domain and on the boundary of the definition domain are calculated independently, and then the upper and lower bound of the dependent variable can be given by these obtained extreme values. Based on such idea and through analyzing five numerical cases, a simple algorithm for calculating the range of an accident reconstruction result was given; appropriate results can be obtained through the proposed algorithm in these cases. Finally, a real world vehicle-motorcycle accident was given, the range of the reconstructed velocity of the vehicle was calculated by employing the Pc-Crash, the response surface methodology and the new proposed algorithm, the range was [66.1-67.3] km/h. This research will provide another choice for uncertainty analysis in accident reconstruction. © 2015 Elsevier Ireland Ltd. Source

Li B.,Traffic Management Research Institute of Ministry of Public Security | Feng C.,Traffic Management Research Institute of Ministry of Public Security | Zhu Z.,Traffic Management Research Institute of Ministry of Public Security | Miao J.,Traffic Management Research Institute of Ministry of Public Security
ICTE 2015 - Proceedings of the 5th International Conference on Transportation Engineering | Year: 2015

Traffic flow parameters detection is one of the most critical parts of the intelligent traffic management system in currently. With the continuous development of computer vision and image processing analysis technology constantly development, video detection technology in the traffic parameters testing is more and more attention. Video automatic detection technology utilization of computer vision, image processing and analysis, pattern recognition technology, compared with traditional detection technology induction loop detector, microwave radar detector and magnetometer detector, etc. The video automatic detection has many advantages, such as simple installation, convenient maintenance, not to harm the roadbed, low cost, high accuracy, and wide monitoring area. Firstly, the image sequence can be acquired through the video automatic detection equipment mounted over the road, and then two 2D spatial-temporal images, a panoramic view image and an epipolar plane image, are formed for each lane in this article. By using the methods of constructing a general epipolar plane image model, to reflect the vehicle surface characteristics and movement characteristics of the driveway. Then put forward the texture Canny texture edge detection algorithm of image based on Gabor filter, according to the texture edge detection of three steps: normalization processing, filtering processing and edge texture detection, analyzes the edge texture detection algorithm of epipolar plane image, and provides normalized epipolar plane image, presented the specific calculation method and formula of Canny texture edge detection based on Gabor filter. Finally, according to the graphics after processing, examines traffic flow parameters detection for traffic volume, vehicle speeds and lane occupancy and analyzes summary of the whole algorithm. © ASCE. Source

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