Location detection method of non-motor vehicles and pedestrians at intersections based on dedicated short-range communication

Abstract

The invention discloses a crossroad non-motor vehicle and pedestrian position detection method based on special-purpose short-distance communication. The method comprises the following steps: disposing a road side special-purpose short-distance communication unit and a roadbed computer unit at a crossroad turning area, wherein the road side special-purpose short-distance communication unit and the roadbed computer unit are connected; the road side special-purpose short-distance communication unit obtaining crossroad area wireless signal data frames; and by taking the data frames as input signals, performing real-time signal spectrum analysis, window function weighing and multipath signal inhibition processing through the roadbed computer unit such that time sequence based non-motor vehicle and pedestrian position detection in the crossroad turning area is realized. The method provided by the invention has the advantages of being free of space-time change influences, effectively utilizing the wireless signal resources of the crossroad area, and improving the safety grade of a crossroad.

Description

technical field [0001] The invention relates to a vehicle-road collaborative safety control technology in the intersecting field of intelligent transportation system and wireless communication technology, in particular to a method for detecting the positions of non-motor vehicles and pedestrians at intersections based on dedicated short-range communication. Background technique [0002] In recent years, with the improvement of urban material living standards, the number of urban vehicles has increased significantly, and traffic safety problems have become increasingly serious. Urban crossroads have dense traffic flow and are the most complex areas of traffic environment. Especially in the turning area of ​​crossroads, due to factors such as fast turning speed, poor driver's sight distance, and many sources of visual and auditory interference, it is difficult for drivers and pedestrians to communicate in advance. Therefore, it has become an area with a high incidence of traff...

AI Technical Summary

Problems solved by technology

However, there are still many problems in the above method: first, the recognition capabilities of cameras, infrared devices, etc. are very dependent on the external environment. When the environment is harsh, such as rainy and snowy weather, the recognition capabilities will be severely reduced; After identifying pedestrians, it is difficult to further accurately detect the number and location information of pedestrians; in addition, after detecting pedestrians, the above method needs to use wired or wireless communication technology to send control signals to the signal light system

However, wireless communication itself has directionality, which can realize signal source identification and positioning. The above methods do not better tap the potential capabilities of wireless communication technology.

Images