Vehicle longitudinal driving safety distance estimation method based on vehicle trust

A technology of safety distance and trust degree, which is applied in the direction of control device, etc., can solve the problems of non-compliance of safety distance, inability to dynamic driver-specific parameters, and failure to consider the coupling relationship between various tires and road surface, etc., so as to improve the accuracy. Effect

Active Publication Date: 2021-02-05
JILIN UNIV
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AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method for estimating the safety distance of longitudinal driving of a vehicle based on the degree of vehicle trust, which is used to solve the problem that in the prior art, the specific parameters of the driver cannot be dynamicized, and various tires and tires are not considered. The coupling relationship of the road surface and the safety distance do not meet the driver's expectations

Method used

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  • Vehicle longitudinal driving safety distance estimation method based on vehicle trust
  • Vehicle longitudinal driving safety distance estimation method based on vehicle trust
  • Vehicle longitudinal driving safety distance estimation method based on vehicle trust

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Experimental program
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Embodiment Construction

[0028] A method for estimating the safe distance of vehicle longitudinal driving based on vehicle trust, such as figure 1 and figure 2 Said, the specific implementation process includes the following steps,

[0029] Step 1001, collecting natural driving data through the CAN bus;

[0030] Specifically, the driver's natural driving data is collected through the CAN bus, and the acquired vehicle driving data includes but not limited to: vehicle speed, throttle opening, brake pressure, steering angle, and the like.

[0031] Step 1002, extraction of four road section data;

[0032] Specifically, select four road sections that can reflect the trustworthiness of the vehicle: straight lines, right-angle bends, S-curves, and U-shaped bends. Three parameters, steering angle, brake pressure, and throttle opening, are collected through the CAN bus, and the parameter ranges are specified. Four kinds of road segment data are extracted from the natural driving data.

[0033] According t...

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Abstract

A vehicle longitudinal driving safety distance estimation method based on vehicle trust belongs to the technical field of vehicle active safety, and optimizes a traditional vehicle safety distance model by introducing a vehicle trust concept, the vehicle trust is directly reflected as the control of a driver on a vehicle in the vehicle driving process, and indirectly reflected as the behaviors such as the distance of the kept safe vehicle distance and whether safe overtaking can be achieved or not. According to the method, the problems that in the prior art, a calculation result is not accurate enough, it cannot be guaranteed that the safety distance meets the expectation of the driver in real time, and practicability is not high are solved, the definition of the vehicle trust is provided,that is, the vehicle performance exerted by the driver is improved, and the judgment accuracy of the driver for the safety vehicle distance is improved.

Description

technical field [0001] The invention belongs to the technical field of automobile active safety, and in particular relates to a vehicle safety distance estimation method based on the vehicle trust degree in a car-following scene. Background technique [0002] The coupling relationship between people and vehicles is reflected in the characteristics of traffic flow. For example, the traffic capacity of a single lane largely depends on the driver's choice of car-following distance, which is the result of human-vehicle interaction, and the driver's choice of car-following distance directly affects the traffic capacity of the vehicle. [0003] In the Internet environment, the driver can obtain more information. In the environment where the surrounding vehicle information is known, the main cause of rear-end collision accidents is that the driver has insufficient judgment on the performance of the vehicle he is driving, and the vehicle trust is too high or too low, which will caus...

Claims

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Application Information

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IPC IPC(8): B60W40/00B60W50/00
CPCB60W40/00B60W50/00B60W2050/0034
Inventor 孙文财温雪李世武郭梦竹于淼
Owner JILIN UNIV
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