Operating vehicle transportation monitoring method and system based on multi-data fusion

Abstract

The invention provides an operating vehicle transportation monitoring method and system based on multi-data fusion, and the method comprises the steps: determining the driving style and vehicle state of a corresponding driver of each operating enterprise based on the natural driving data of the Internet of Vehicles, obtaining the characteristics and environment state of a road to be driven, determining the operation risk of the road, and carrying out the monitoring of the transportation of the operating vehicle. In combination with the credit risk of the enterprise to which the operating vehicle belongs, the transportation of the operating vehicle is comprehensively monitored from the data of multiple aspects of vehicle-human-road-environment-enterprise and the like, so that the orderly and safe operation of the traffic transportation is ensured.

Description

technical field [0001] The invention belongs to the technical field of transportation management and control, and in particular relates to a multi-data fusion-based transportation monitoring method and system for operating vehicles. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Transportation is an important support and strong guarantee for economic development. Transportation safety is related to the reliable and stable development of transportation. The safety risk prevention and control of operating vehicles is the top priority in the field of road traffic safety. Once an accident occurs to an operating vehicle, it is often Extraordinary road traffic accidents have brought specific losses to people's life safety and property safety. [0004] Therefore, it is necessary to carry out risk prevention and control and safety supervision on...

AI Technical Summary

Problems solved by technology

The U.S. National Highway Traffic Safety Administration (NHTSA) found that aggressive driving behavior accounts for about two-thirds of all fatal traffic accidents. The more aggressive the driving, the more prone to sudden speed changes, frequent lane changes, and speeding during driving. Bad driving behavior seriously affects traffic safety

[0005] At the same time, in terms of road transportation risks and corporate credit, it has a great impact on the transportation of operating vehicles, but the existing regulatory system rarely covers this part of the content, or uses expert experience in these aspects, which is too subjective and lacks. Supported by actual data, it is difficult to obtain reliable and accurate evaluation

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