Highway stereoscopic line type safety evaluation method based on vehicle dynamics simulation and accident tree

Abstract

The invention discloses a highway stereoscopic line type safety evaluation method based on vehicle dynamics simulation and an accident tree. The method is characterized by comprising the steps that a vehicle-3D highway-driver control coupling simulation model is set up, and dynamic feature indexes, namely, the vehicle longitudinal velocity, the side slip angle, the yaw velocity and tire vertical force, fed back when a vehicle runs on a highway are acquired; then the accident probability of sideslip, side turning and rear-end collisions at all highway pile number positions is calculated according to the acquired dynamic feature indexes, and the comprehensive accident probability at the highway pile number positions is acquired based on an accident tree model through calculation; finally, after the highway is segmented according to linear highway sections and flat curve highway sections, the accident probability of each highway section is calculated according to the comprehensive accident probability at all highway pile number positions in the highway section to reflect the safety of the highway stereoscopic line type. The method is suitable for safety evaluation of a newly built highway at the design stage, and the design safety level of the highway line type can be evaluated quantitatively and accurately; the method is also suitable for safety evaluation of the highway at the operation stage, and quantitative guidance is provided for later safety improvement strategies.

Description

technical field [0001] The invention relates to a method for safety evaluation of highway three-dimensional alignment based on vehicle dynamics simulation and accident tree, and belongs to the field of safety evaluation of highway three-dimensional alignment design. Background technique [0002] Domestic and foreign studies have shown that the influence of bad alignment conditions is the direct or indirect cause of 70% of road traffic accidents. Quantitative and accurate evaluation of the safety level of road alignment conditions is conducive to timely detection of road design defects and improvement, and is of great help to improving road traffic safety and reducing highway traffic accidents. It is of great significance to reduce the accident rate and reduce economic and property losses. After the highway is completed and put into operation, even if the highway design defects are found, the cost of re-changing the highway alignment and rebuilding the road infrastructure is ...

AI Technical Summary

Problems solved by technology

The invention patent with application number CN201510116266.7 proposes a road alignment safety review method based on driving simulation technology, which obtains driving behavior parameters such as speed standard deviation, average speed, longitudinal acceleration standard deviation, and lateral acceleration standard deviation based on driving simulation technology. Steering wheel angle standard deviation, steering wheel angle threshold, accelerator standard deviation and other vehicle operating parameters, based on ANOVA and Pearson method to obtain secondary indicators, and then use fuzzy network analysis method to build road alignment safety review and evaluation system; Scoring the degree of sexual influence, lack of objectivity

The application number is CN201510456733.0, which proposes a two-lane highway traffic safety evaluation method based on driving comfort. The method uses the driver's heart rate change rate as the benchmark, and uses the driving simulation cabin to analyze the different drivers driving on flat curves. For the heart rate change rate of the horizontal curve section, longitudinal slope section, and curved slope section, the relationship model between the heart rate change rate and the radius of the horizontal curve, driving speed, straight line length between the reverse horizontal curve, slope, and radius of the flat curve is established; but There are individual differences in the physical condition of drivers. In addition, it is difficult to accurately describe the safety of road alignment by only using a single index of driver's heart rate change.

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