Travelling risk field-based automobile driving safety assistance method

Abstract

The invention relates to a travelling risk field-based automobile driving safety assistance method which comprises the steps of (1) establishing a travelling risk field unified model according to the combined action of all factors of people, automobiles and roads in the ambient environment for the travelling risk; (2) establishing a self automobile travelling risk field model by building a mathematical model of the kinetic energy field, the potential energy field and the behavior field of objects in the ambient environment, and calculating the total field intensity of the travelling risk field of a self automobile; (3) calculating the acting force applied to the self automobile in the travelling risk field based on the total field intensity of the travelling risk field; (4) calculating the travelling risk factor of the self automobile according to the acting force applied to the self automobile in the travelling risk field, and carrying out safety assistance in the travelling process based on the risk factor. The method is suitable for decision of driving safety assistance in the complex environment and the route planning of an intelligent vehicle.

Description

technical field [0001] The invention relates to the field of traffic safety, in particular to an automobile driving safety auxiliary method based on a driving risk field for providing warning information and necessary auxiliary braking for drivers. Background technique [0002] With the increase of China's car ownership and the increasing number of drivers, traffic accidents occur frequently, and the driving safety situation is severe. Driving Assistance Systems (DAS, Driving Assistance Systems) can provide drivers with danger warning information and auxiliary control of the vehicle to improve driving safety and comfort. Among them, the driving safety assistance method is the core control logic of the system, which determines the safety performance and acceptance of the system. The existing driving safety models are usually based on the principles of vehicle kinematics and dynamics, and are judged by vehicle state information (speed, acceleration, yaw rate, etc.) and the re...

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Problems solved by technology

[0004] To sum up, the existing field theory models are only effective for specific traffic scenarios, ignoring or partially ignoring the characteristics of the driver itself (character, psychological and physiological characteristics), complex and changeable road conditions and traffic driving environment, etc. The influence of driving safety, it is difficult to adapt to the interaction and dynamic changes of driver behavior characteristics, traffic environment and vehicle state, and the coupling mechanism of human-vehicle-road is not clearly described, so the practical application of the model is greatly limited. In the actual driving process, the physiological and psychological state of the driver changes with time and space. In addition, there are individual differences among drivers, which require the parameters of the model to be variable and adaptable. However, the parameters of the traditional car-following model are fixed. , leading to frequent interference and conflicts between the system and the driver's normal driving, which in turn reduces the driver's acceptance of the system and makes it difficult to ensure the driving safety of the vehicle in complex and changeable traffic environments

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