Driving behavior data acquisition and analysis method and system

Abstract

The invention discloses a driving behavior data acquisition and analysis method and system. The invention relates to the technical field of traffic big data analysis, and solves the problem of high data acquisition and analysis cost caused by a traditional driving behavior data acquisition mode. According to the invention, data contents are selected as positioning data, speed data, urgent acceleration and deceleration data, lane departure data, license plate image data and front road video data, the data source can be an automobile data recorder or a vehicle-mounted mobile phone of any vehicleon the road. More than 90% of road vehicles can be basically covered on the premise of not increasing extra construction cost. The method has the advantages of wide data source, simple data acquisition, simple analysis method and low analysis equipment performance requirement, greatly reduces the construction, operation and maintenance cost on the whole, and is more beneficial to the realization,popularization and promotion of driving behavior analysis.

Description

technical field [0001] The invention relates to the technical field of traffic big data analysis, in particular to a method and system for acquiring and analyzing driving behavior data. Background technique [0002] Driving behavior analysis is of great significance to the risk prevention and control of road driving accidents, driver credit evaluation, and safety supervision of transportation companies. The main contents of driving behavior analysis include trajectory tracking, overspeed monitoring, collision warning monitoring, and lane departure monitoring. [0003] At present, the main means for the industry to obtain the above four behavioral data is to install professional driver assistance (ADAS) equipment in the car, or install fixed detection devices such as video surveillance and radar on the road. On the one hand, the construction and maintenance costs of professional ADAS equipment or fixed detection devices installed on road poles are very high. On the other han...

AI Technical Summary

Problems solved by technology

On the one hand, the construction and maintenance costs of professional ADAS equipment or fixed detection devices installed on road poles are very high

On the other hand, a large number of vehicles such as private cars and ordinary trucks cannot be forced to install equipment, and road resources for installing fixed devices are limited, so it is very difficult to actually obtain driving behavior data

[0004] Because the traditional driving behavior data collection relies on single-vehicle or single-point professional equipment, the concentration is high, the single-device collects and processes a large amount of data, and requires high timeliness, resulting in high requirements for single-device computing performance and processing speed. As a result, the cost of data collection and analysis remains high, and there is an irreconcilable contradiction between performance and price, which greatly hinders the popularization and promotion of driving behavior analysis

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