Method and device for determining forced lane changing afflux point of intelligent vehicle

Abstract

The invention discloses a method and device for determining a forced lane changing afflux point of an intelligent vehicle. The method comprises the steps of obtaining the lane changing microscopic information of a target vehicle, and the lane changing microscopic information comprising the speed and position data of the target vehicle, a leading vehicle in a target lane and a following vehicle; calculating a critical safety gap between the target vehicle and the following vehicle in the target lane; according to the free lane change type and the forced lane change type, calculating a polite factor mean value of the effective lane change number; determining a weight coefficient representing a driving characteristic, and calculating a polite factor of forced lane changing of the current intelligent vehicle; and according to the position relationship between the target vehicle and the leading vehicle in the target lane, calculating and determining the afflux point of forced lane changingof the current intelligent vehicle. According to the method provided by the invention, the interaction between the lane changing vehicle and the front and rear vehicles in the target lane is comprehensively considered, the lane changing afflux point selection is more accurate, a scientific and reasonable judgment and decision basis is provided for a driver or the intelligent vehicle, and a guarantee is provided for road traffic safety and driving efficiency.

Description

technical field [0001] The invention relates to the field of intelligent traffic control, in particular to a method and a device for determining a merging point for a forced lane change of an intelligent vehicle. Background technique [0002] With the rapid development of technologies such as computers, wireless communications, and vehicle engineering, conventional cars have gradually been equipped with smart devices, and are gradually developing towards smart cars, including intelligent networked cars and self-driving cars. Under the background of the strategy of "powering the country with transportation", Internet companies cooperate with traditional car companies to continuously innovate, improve the performance of smart cars, and continuously improve driving safety and traffic efficiency. [0003] According to the direction of travel, the driving of vehicles is divided into lateral lane change and longitudinal car following. Lateral lane changes often have higher risks,...

AI Technical Summary

Problems solved by technology

Generally speaking, the existing researches tend to focus on macro control, lack of research on the merge point of the lane change gap, ignore the influence of lane change behavior on the target vehicle and the following vehicles in the target lane, and rarely study the merge point of the forced lane change. micro research

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