Man-machine driving hybrid traffic cooperative control system and method based on Internet of Vehicles

Abstract

The invention relates to a man-machine driving hybrid traffic cooperative control system and method based on the Internet of Vehicles. The system comprises a plurality of cooperative controllers of which the number corresponds to the number of intersection passages. Each cooperative controller is arranged beside the signal lamp of the corresponding intersection, and an intersection passage influenced by the signal lamp is a cooperative control region for the cooperative controller; Each cooperative controller comprises an acquisition unit, a processing unit and a control unit which are connected in sequence; the Internet of Vehicles and the V2I technology are utilized and the communication between the cooperative control system and the manned vehicle and the unmanned vehicle is realized; each information acquisition unit acquires effective information from a communication network; the information is analyzed and processed by each processing unit to obtain a control signal for an unmanned vehicle and the signal is transmitted to each control unit; the control unit takes over the unmanned vehicle entering the cooperative control region and controls the unmanned vehicle to pass through the congested intersection according to the control signal sent by the processing unit. Therefore, a problem that the unmanned vehicle passes through the congested intersection at present can be well solved.

Description

technical field [0001] The present invention relates to the technical field of unmanned vehicle control, in particular to a system and method for man-machine driving mixed traffic cooperative control based on Internet of Vehicles. Background technique [0002] With the continuous innovation of autonomous driving technology, the number of autonomous driving vehicles on the road is increasing day by day, which brings various problems and challenges. One of them is the intersection of human-machine mixed driving traffic flow, especially in congested areas. intersection. The challenges in this environment mainly include: the diversity of driving behaviors, the randomness of environmental impacts, and the uncontrollability of manned vehicles. Although self-driving vehicles have the ability to perceive, plan, and make decisions in complex environments, when there are many random and uncertain factors in the environment, with the current technology, unmanned vehicles can only bare...

AI Technical Summary

Problems solved by technology

The challenges in this environment mainly include: the diversity of driving behaviors, the randomness of environmental influences, the uncontrollability of manned vehicles, etc.

Although self-driving vehicles have the ability to perceive, plan, and make decisions in complex environments, when there are many random and uncertain factors in the environment, with the current technology, unmanned vehicles can only barely pass through without congestion. intersections, and unmanned drivers may need to take over at all times, which affects people's confidence in autonomous driving technology to a certain extent, and has become a major problem hindering the development of unmanned driving technology

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