Vehicle driving state evaluation method based on overtaking frequency

Abstract

The invention provides a vehicle driving state evaluation method based on the overtaking frequency. The method comprises the following steps that 1, through a millimeter wave radar, and vehicle targets which have overtaking behaviors on driving vehicles of lanes on the two sides are obtained; 2, through a GPS tachymeter, the vehicle speeds of the driving vehicles are obtained, and vehicle targetsovertaken by the driving vehicles of the lanes of the two sides are obtained; 3, according to the vehicle targets which have the overtaking behaviors on the driving vehicles of the lanes on the two sides and are acquired in step 1 and the vehicle targets overtaken by the driving vehicles and acquired in step 2, the overtaking frequency is obtained; 4, a fuzzy judgement set based on the overtakingfrequency is established, threshold values of evaluation values of the driving vehicle states under different working conditions are set, a rule base rule is applied to inference with credibility, andthe safety performance of the vehicles is comprehensively evaluated. The method is high in real-time performance, reliability and practicability, has no interference, and can effectively evaluate thedriving states of the vehicles in real time.

Description

technical field

[0001] The invention belongs to the technical field of intelligent vehicles and vehicle safety driving monitoring, and in particular relates to a vehicle driving state evaluation method based on overtaking frequency. Background technique

[0002] With the rapid development of intelligent vehicle technology, the safety assessment during its driving has become one of the current research hotspots. When the vehicle is driving in normal traffic flow, the driver of a traditional vehicle can make a corresponding judgment on whether the driving state of the vehicle is safe or not based on subjective factors such as the vehicle condition and the speed of the vehicle. However, for intelligent vehicles, due to external information The limitations of the vehicle, especially the limitations of long-distance information, will affect the vehicle-mounted EUC's judgment on the driving state of its own vehicle. How to quantify the driving state of the intelligent vehicle in t...

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