A vehicle forward collision avoidance warning method based on Internet of Vehicles technology

Abstract

The invention discloses a vehicle forward collision warning method based on a vehicle networking technology. The method includes the following steps: (1) collecting real-time data through a vehicle-mounted terminal device; (2) adjusting a dynamic threshold value: adjusting the value of a dynamic regulation factor of vehicles according to vehicle disposition information, driver information, sensor information, real-time positions of the vehicles and road types; (3) calculating the theoretical safe distance S(safe) between two vehicles, wherein V(sv) is a vehicle speed acquired through a CAN bus, T(r) is the dynamic regulation factor, V(rel) is the absolute value of the relative speed of the two vehicles, TTC is a time from the current time to a collision time, and the time can be configured through the vehicle-mounted terminal device so as to reflect the warning sensitivity level of the system; (4) carrying out judgment and warning: comparing the theoretical safe distance with a real vehicle distance acquired by a distance measuring sensor, and sending out warning information if the real vehicle distance is smaller than the theoretical safe distance. The method guarantees objectivity and accuracy of a calculation model to the maximum and avoids rear-end collisions most accurately.

Description

technical field [0001] The invention relates to the field of traffic safety, in particular to a vehicle forward collision avoidance alarm method based on Internet of Vehicles technology. Background technique [0002] According to the survey data of the U.S. National Highway Traffic Safety Administration (NHTSA), traffic accidents caused by rear-end collisions account for more than 28% of all traffic accidents worldwide. At the same time, the statistical results of the German Volkswagen Company on the causes of rear-end collision accidents in Europe over the years show that about 45% of the accidents are caused by the driver's misjudgment of the inter-vehicle distance or relative speed. [0003] Forward Collision Warning System (FCWS) is an advanced vehicle electronic safety system, its main function is to send a reminder to the driver when there is a potential collision risk between the own vehicle and the vehicle in front , to avoid traffic accidents caused by rear-end col...

AI Technical Summary

Problems solved by technology

[0006] First of all, during the operation of the vehicle, the road surface type will change with the change of weather conditions in various places, and the method of selecting the road surface type based on the initial mode is not suitable for real-time dynamic systems;

[0007] Secondly, in the information collection link of on-board sensors, the algorithm proposes to use separate sensors to collect accelerator pedal, brake pedal and visibility signals. On the one hand, the introduction of sensors increases the system cost, and on the other hand, it also increases potential system failure points, affecting the system. work reliability;

[0008] Finally, the algorithm uses BP neural network to train the driver's reaction time, comprehensively considering the vehicle speed, visibility, road surface type and driver's driving age and other conditions, but does not add the attributes of the vehicle position. Early warning cannot be achieved on accident-prone road sections. At the same time, the training algorithm of the neural network needs a large number of samples as data support, and data collection is also one of the difficulties that cannot be ignored.