Human-Machine Co-Driving Mode Switching Method of Autonomous Vehicles based on Traffic Scenarios

Human-machine co-driving is a commonly used vehicle control mode in automatic driving. However, due to the gradual improvement of technology informatization speed, the traditional driving mode is no longer suitable for the development of today's society. Therefore, the human-machine co-driving mode switching method of automatic driving vehicles based on traffic scenarios is proposed. At the same time, the driving switch feature selection and lane change intention control recognition are carried out, and the automatic driving longitudinal assistance switch architecture is created in traffic scenes. The human-machine co-driving mode switching model of multi-objective autonomous vehicles is designed in traffic scenes. The ADHDP iterative interactive verification is carried out to realize the human-machine co-driving mode switch of autonomous vehicles. The final test results showed that test in different target driving distance, comparing with the traditional hybrid switching test groups, characteristics of target handoff method finally concluded relatively fast switching speed. It also shows that this design method has better stability, switch in the switching process, fast, can achieve smooth switching smoothly, has a certain practical significance.