Equivalent Statistical Method for the Number of Sharp Turns of Vehicles

Abstract

An equivalent statistical method for the number of sharp turns of a vehicle, which uses sparse GPS / Beidou data and vehicle dispatching data to calculate the angle difference in driving direction between adjacent records, and obtains the number of vehicle turns and the corresponding turning record data; calculates and obtains adjacent The average vehicle speed v between the turn record data i and vehicle average angular velocity o i ; based on the average velocity v i and the average angular velocity o i , calculate the average value and variance to obtain the probability value of judging that the turn is a sharp turn by calculating, if the probability value is less than or equal to the preset probability threshold P, then accumulate an equivalent sharp turn. The equivalent statistical method uses the local average value instead of the instantaneous state to process sparse GPS / Beidou data, judges and identifies the equivalent number of sharp turns of the vehicle through the probability threshold, and obtains the equivalent number of sharp turns of the vehicle. This statistical method can achieve the effect of accurately counting the number of sharp turns of vehicles only by processing sparse GPS\Beidou data, which is convenient and low-cost.

Description

technical field [0001] The invention relates to the field of physics, in particular to a vehicle running monitoring technology, in particular to an equivalent statistical method for the number of sharp turns of a vehicle. Background technique [0002] In order to carry out risk assessment and control of vehicle driving behaviors and help traffic safety, there are currently a variety of vehicle operation supervision platforms and vehicle auxiliary driving equipment, which have reduced the incidence of traffic accidents to a certain extent. However, the existing various vehicle supervision application platforms require a large number of supervisors to invest, and supervision depends on the experience and judgment of supervisors. Experienced personnel need long-term training. Compared with automatic computer processing, not only the quality cannot be completely consistent Moreover, the manual processing capacity is limited, and it is difficult to achieve effective, comprehensiv...

AI Technical Summary

Problems solved by technology

However, vehicle-mounted ADAS equipment involves too many privacy and information security issues, and is expensive, which is not easy to promote and apply. On the other hand, even simple GPS\Beidou data also has high costs in transmission and processing, and cannot be transmitted. Record GPS\ Beidou data every moment

The number of "sharp turns" of the vehicle during driving is one of the important indicators for judging the driving behavior of the vehicle, but the instantaneous velocity value and angular velocity value at each moment cannot be obtained through sparse GPS\Beidou data (5S-10S). value or the threshold value of the angular velocity value to judge, resulting in the inability to accurately count the number of sharp turns of the vehicle

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