Active Intervention Control For Vehicle Driving Safety In The Virtual Environment

As the improvement of urbanization, vehicle holdings increase rapidly. Meanwhile, the number of traffic accident shows a rising trend. The research of active intervention control technology for driving safety gets more and more attention. Recently, vigorous development of virtual reality technology provides a new experimental environment solutions for active intervention control technology. A lifelike virtual traffic environment, which has many advantages, such as security, economical, good reproducibility, strong sense of immersion, short development cycle and so on, was built to study active intervention control technology. Therefore, the dissertation use virtual traffic environment as a platform for experiments to study the methods of active intervention control. The major resrarch in this thesis are as follows:Firstly, a virtual traffic experimental environment which includes static scene and dynamic scene was constructed. Static scene contains roads, houses, flowers and trees, traffic signs, etc. Multigen Creator software was used in static scene modeling. In dynamic scene modeling, a method to put all kinds of traffic environment into digital form was proposed, so virtual driver can distinguish and access the various types of traffic environment easily. Then, the intelligent driving of the virtual autonomous vehicle was studied based on a visual information real-time decision making method. Through the virtual static scene and dynamic scene modeling, a fidelity traffic experimental environment was established. It can make the experiment data more reliable and scientific.Secondly, the dissertation make a brief analysis about the methods to acquisition behavior information of users car. A method use collision theory to detect barriers which around users car was proposed. At the same time, a model was built to screening the traffic information which around the users car, to ensure the system response at high speed and accuracy.Thirdly, an automatically adjust the optimal steering angle model and a safe distance model of anti-rear-end was set up. A method was proposed to determine the vehicle deviate from lane way. And then, a description was given to expound active intervention control methods when vehicle drives in the four dangerous conditions, including speeding, deviate from lane, rear collision and side impact.Finally, with combining of EON Studio 5.0 and Visual C++6.0, the prototype of active intervention control system was constructed under Windows XP system.