Based on the virtual simulation theory, we used three-dimensional modeling software to build modeling road facilities (vehicles, trees, street lights, etc.) for simulating the accident environment, and by using OpenGL technology, achieved reading, displaying and controlling the three-dimensional models. This dynamically realized the three-dimensional animated simulation of vehicle movement. Simultaneously we have calculated in progress the simulation of vehicle crash with the basic theory of automobile collision, vehicle collision model and the law of conservation of energy and momentum. Finally, we constructed a flexible platform for the simulation experiment. The platform is enabling to add and update road, trees, street lamps and house on the simulation environment dynamically, and has ability to analysis the traffic accident. This could give an assistant to the handling traffic accidents.

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Abstract-Based on the virtual simulation theory, we used three-dimensional modeling software to build modeling road facilities (vehicles, trees, street lights, etc.) for simulating the accident environment, and by using OpenGL technology, achieved reading, displaying and controlling the threedimensional models. This dynamically realized the threedimensional animated simulation of vehicle movement. Simultaneously we have calculated in progress the simulation of vehicle crash with the basic theory of automobile collision, vehicle collision model and the law of conservation of energy and momentum. Finally, we constructed a flexible platform for the simulation experiment. The platform is enabling to add and update road, trees, street lamps and house on the simulation environment dynamically, and has ability to analysis the traffic accident. This could give an assistant to the handling traffic accidents.

A novel personal identification method based on the fusion of multi-finger knuckleprints is proposed in this paper. The identification process can be divided into the following stages: extracting and matching the knuckleprint's line feature, fusing of the matching scores of the multi-finger knucklerprints to get the total matching score and then certifying the identity of the user. The approach was tested on a database of 98 people (1,579 Knuckleprint images). The experimental results showed the effectiveness of the method: it improved the correct recognition rate to 96.62% which is more than 6 percentages higher than the best result of using a single finger knuckleprint.