A method for instantaneous risk identification of vehicles changing lanes in an expressway vehicle-road coordination environment

Abstract

The invention discloses a vehicle lane-changing instantaneous risk identification method in an expressway vehicle-road coordination environment, comprising the steps of: 1) selecting a target vehicle and obtaining relevant information; It is m×n grid units; 3) Establish a prediction model of the target vehicle’s lane-changing trajectory, and calculate the displacement and position of the target vehicle during the lane-changing process; 5) Establish a vehicle lane-changing conflict identification model to clarify the conflict conditions of different types of lane-changing conflicts; 6) Divide lane-changing risk levels based on kinetic energy loss, and use different colors to represent them; 7) Realize vehicle lane-changing conflicts through computer programming Identify lane-changing risks, and output potential lane-changing risk levels and their corresponding colors. The invention can solve the problem of early identification of the lane-changing risk of the intelligent vehicle under the expressway vehicle-road coordination environment.

Description

technical field [0001] The invention relates to the technical field of lane-changing safety of expressway vehicles, in particular to a method for identifying instantaneous risks of lane-changing vehicles in an expressway vehicle-road coordination environment. Background technique [0002] The loss and fatality rate caused by expressway traffic accidents are much higher than that of ordinary roads. The reason is mainly due to the high speed of expressway. trauma, and it is easy to cause secondary collisions such as continuous rear-end collisions. Due to the relatively closed nature of expressway driving, lane changing and lane keeping are two typical driving behavior patterns on expressways, which are closely related to driving safety. Therefore, accurately identifying the instantaneous risk when the vehicle performs a lane change in advance will help improve the technical system of the vehicle early warning system, improve the safety of vehicle operation, and provide theore...

AI Technical Summary

Problems solved by technology

[0003] At present, most studies on vehicle lane change mainly focus on evaluating the safety of vehicle lane change based on the current lane change safety conditions, but little attention is paid to the impact on the future trajectory of surrounding vehicles, ignoring the uncertain factors and vehicle dynamics during the lane change process. The impact of the interaction between vehicles on the safety of lane changing, thereby reducing the recognition rate of lane changing risks

In addition, existing studies have paid more attention to the real-time nature of risk identification, while ignoring the predictability of risk. There is a significant time lag in risk identification, and it is difficult to identify lane-changing risks in advance and give early warning to drivers. There are many problems in

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