An Intelligent Vehicle Lane Changing Early Warning Method Based on Instantaneous Risk Identification

Abstract

The invention discloses an intelligent vehicle lane change early warning method based on instantaneous risk identification. The method comprises the following steps of 1) acquiring basic data; 2) establishing a traffic condition safety judgment model, and judging whether the traffic condition at the time t is safe or not; 3) establishing a vehicle operation instantaneous risk evaluation model, respectively depicting vehicle conflict probability and conflict severity from the angles of time and space, and fusing two evaluation indexes by using an accident tree analysis method to further obtaina lane change risk coefficient of the current traffic condition; 4) selecting a proper lane change early warning index and a threshold value, and monitoring the current lane change condition of the vehicle in real time; and 5) realizing the vehicle lane change early-warning function through computer programming, and evaluating the safety of the vehicle lane change condition at the moment t, and then early-warning the lane change behavior with conflict event in advance. Through the method disclosed by the invention, the instantaneous risk of the lane change conflict of the vehicle can be effectively identified in advance, and theoretical reference and technical support are provided for a vehicle early warning system and automatic driving vehicle lane change control.

Description

technical field [0001] The invention relates to the technical field of lane-changing safety of intelligent vehicles, in particular to an early warning method for lane-changing of intelligent vehicles based on instantaneous risk identification. Background technique [0002] Lane change is one of the typical driving behaviors, and it is an important way for the driver to obtain the ideal driving environment or reach the intended driving destination. However, bad lane-changing behavior will interfere with the normal driving of surrounding vehicles, resulting in traffic conflicts, making local traffic flow in a temporary state of disorder, and even induce traffic accidents. According to the statistics of road traffic accidents in the United States, traffic accidents caused by bad lane-changing behaviors account for about 5% of the total number of accidents. At the same time, bad lane-changing behavior is also one of the important causes of reducing traffic operation efficiency ...

AI Technical Summary

Problems solved by technology

Relatively speaking, most studies pay little attention to the impact of the future movement trends of surrounding vehicles, ignoring the feasibility and necessity of early identification of lane-changing risks, thus increasing the time-lag of lane-changing warnings and giving drivers a reserved response. shorter time

In addition, existing research focuses on using a single risk assessment index to identify lane change risks only from the perspective of time or space. In practical applications, there are identification blind spots. too small" special case

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