Vehicle curve safety vehicle speed predication and pre-warning system based on multiple regression analysis

A technology of multiple regression analysis and safe speed, applied in the field of vehicle curve safe speed prediction and early warning system, can solve the problems of rollover influence, no consideration of influence, low reliability and safety, etc.

Inactive Publication Date: 2018-10-09
JILIN UNIV
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However, the disadvantage of this patent is that the safe vehicle speed is obtained through simple calculation of the formula, and the reliability and safety are low; and t

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  • Vehicle curve safety vehicle speed predication and pre-warning system based on multiple regression analysis
  • Vehicle curve safety vehicle speed predication and pre-warning system based on multiple regression analysis
  • Vehicle curve safety vehicle speed predication and pre-warning system based on multiple regression analysis

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[0069] The present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings. The protection scope of the present invention is not limited to the embodiments, and any changes made by those skilled in the art within the scope defined in the claims also belong to the protection scope of the present invention.

[0070] The present invention is based on multiple regression analysis of vehicle curve safety speed prediction and early warning system, such as figure 1 As shown, it includes a test data acquisition module 1, a test data preprocessing module 2, a test data analysis module 3, a safe speed model database 4, a curve information module 5, a vehicle type discrimination module 6 and a curve safety speed warning module 7. The output end of the test data acquisition module is connected to the input end of the safe speed model database through the test data preprocessing module and the test data analysis module, and the output e...

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Abstract

The invention relates to a vehicle curve safety vehicle speed predication and pre-warning system based on multiple regression analysis. The vehicle curve safety vehicle speed predication and pre-warning system based on the multiple regression analysis comprises a test data collection module, a test data pre-processing module, a test data analysis module, a safety vehicle speed model database, a curve information module, a vehicle type judging module and a curve safety vehicle speed pre-warning module. According to the vehicle curve safety vehicle speed predication and pre-warning system basedon the multiple regression analysis, desired test data are collected, multiple linear regression analysis is carried out on processed test data to obtain a critical transverse adhesion factor model and a transverse load transfer rate model, and the critical transverse adhesion factor model and the transverse load transfer rate model are converted by using a formula to obtain a safety vehicle speedmodel. Collected curve pavement data and vehicle types are input into the safety vehicle speed model database. A curve safety predicated vehicle speed is obtained after calculation and displayed on an LED display screen at the entrance of a curve to warn a driver of a curve safety passing vehicle speed. According to the vehicle curve safety vehicle speed predication and pre-warning system based on the multiple regression analysis, the influences of multiple factors on the curve safety vehicle speed are comprehensively considered, and the curve safety vehicle speed can be accurately predicatedto provide a safety pre-warning vehicle speed for the driver so that the vehicle stably and safely runs through the curve.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, and relates to a safety speed prediction and early warning system for vehicle curves based on multiple regression analysis Background technique [0002] Curve traffic accidents are one of many types of traffic accidents, which have the characteristics of frequent occurrence, high probability of occurrence and great harm. According to the annual statistical report on road traffic accidents in 2016, there were as many as 39,000 traffic accidents on curves throughout the year, and the number of deaths was as high as 14,800, accounting for 18.36% and 23.47% of the total number of road traffic accidents respectively. Most traffic accidents are caused by speeding. Therefore, it is necessary to develop a curve speed warning system, which can reduce the rollover and sideslip caused by vehicle overspeed, and reduce the occurrence of traffic accidents. [0003] In the existing technology, the Chin...

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Application Information

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IPC IPC(8): B60W40/105B60W40/13B60W40/064
CPCB60W40/064B60W40/105B60W40/13B60W2040/1315B60W2552/30
Inventor 刘宏飞翟德许洪国王郭俊屈亚洲徐强许淼方杏花
Owner JILIN UNIV
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