Vehicle forced lane changing decision-making method based on decision-making tree model

Abstract

The invention discloses a vehicle forced lane changing decision-making method based on a decision-making tree model. The vehicle forced lane changing decision-making method includes the following steps: firstly, reading related data during vehicle forced parallel lane changing in real time through a sensor; secondly, importing the obtained data into a vehicle forced lane changing decision-making module based on the decision-making tree model, wherein a method for building the module includes the steps of selecting training and testing data, splitting a tree, selecting attribute threshold values, pruning the tree, building the parallel lane changing decision-making tree model based on a weka platform and verifying the accuracy of the decision-making model; finally, forming a decision-making judgment result during vehicle forced lane changing through a decision-making module, and if the decision-making judgment result is that lane changing can not be carried out, giving an alarm in real time to remind a driver of the fact that lane changing can not be carried out. By means of the vehicle forced lane changing decision-making method, negative effects, caused by a complex early-warning algorithm and excessive decision-making judgment rules, on the judgment result are reduced, the accuracy and the reliability of decision-making judgment during vehicle forced lane changing are improved, and the false alarm rate is lowered.

Description

technical field [0001] The invention relates to the field of driving safety of motor vehicles, in particular to a decision-making method for forced lane-changing of vehicles based on a decision tree model. Background technique [0002] Vehicle lane-changing decision errors have always been one of the important reasons leading to road traffic accidents. Statistics show that among all lane-changing accidents, the accidents caused by driver's wrong judgment and decision-making account for about 75% of the total amount of accidents. Therefore, when a vehicle changes lanes, especially when the number of lanes is reduced and the vehicle needs to change lanes forcibly, it is of great significance to provide the driver with a fast and accurate lane change decision-making judgment, which is of great significance to reducing the occurrence of road traffic accidents and improving the level of road traffic safety. very important. [0003] Lane changing is a relatively complex driving ...

AI Technical Summary

Problems solved by technology

However, the existing vehicle lane change warning system requires many devices to operate, the warning algorithm is complex, the reliability is not high, the false alarm rate cannot be controlled at a low level, and it is difficult to ensure the safety of lane change under any conditions, especially the lane change. The special situation when the number of traffic is reduced and a forced lane change is required

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