A speed guidance method and system for green waves at light-controlled intersections based on cloud services

Abstract

The invention, which belongs to the technical fields of the intelligent networking vehicle and vehicle-road coordination, provides a cloud-service-based green-wave vehicle speed guidance method and system of light-controlled intersection. The system is composed of a cloud server, a signal light data acquisition device, and an intelligent networking vehicle client, wherein the signal light data acquisition device and the intelligent networking vehicle client are connected with the cloud server respectively. In addition, according to the method, signal light configuration and real-time state data are collected; the collected data are uploaded to the cloud server in real time and the corresponding data are stored in a database; on the basis of signal light data stored in the database, the cloud server generates signal light state data and green-wave vehicle speed guidance service data based on a client request and sends the data to the client; and the client receives the data and then displays the data for a user by an intelligent mobile terminal. Therefore, the system structure of the green-wave vehicle speed guidance application of the light-controlled intersection is simplified; the communication requirement and the computing capability requirement of the system equipment are reduced; air interface communication resources are saved; and the application deployment and promotion costs are reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent networked vehicles and vehicle-road coordination, in particular to a method and system for guiding green wave vehicle speed at light-controlled intersections based on cloud services. Background technique [0002] Intelligent networked vehicles refer to equipped with advanced on-board sensors, controllers, actuators and other devices, and integrate modern communication and network technologies to realize the exchange and sharing of intelligent information between vehicles and X (vehicles, roads, people, cloud, etc.), and are equipped with complex environments. Functions such as perception, intelligent decision-making, and collaborative control can realize "safe, efficient, comfortable, and energy-saving" driving, and finally realize a new generation of cars that can replace humans to operate. Among them, roads, as the driving environment of ICVs, need to use roadside systems to collect various ...

AI Technical Summary

Problems solved by technology

Since vehicles at this stage are generally not equipped with the above-mentioned terminals, it is difficult for the vehicle speed guidance system to produce practical effects

Secondly, using dedicated short-range wireless communication to frequently transmit map and signal light data will also occupy scarce channel resources

Third, the existing methods concentrate most of the calculations on the vehicle-mounted intelligent terminal, which also puts forward higher requirements on the performance of the terminal.

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