Intelligent traffic flow congestion dispersal method through vehicle group autonomous cooperative scheduling

Abstract

The invention provides an intelligent traffic flow congestion dispersal method through vehicle group autonomous cooperative scheduling. An intelligent vehicle-mounted terminal and a wireless communication module are integrated, a cooperative scheduling algorithm optimization index and vehicle driving parameter acquisition and processing process is built according to a vehicle following model in the case of traffic flow congestion, the optimization index reflects the vehicle group passing efficiency, the intelligent vehicle-mounted terminal and an adjacent vehicle build a wireless communication network, a guiding instruction is generated according to the cooperative scheduling algorithm and the protocol, a vehicle queuing position and estimated passing time are provided for a driver through a man-computer interface, and the driver is guided to select a proper speed and a proper direction. The method of the invention has the advantages of low cost, high terminal integration, simple mounting, high sensitivity, quick response speed and the like, and is applicable to various motor vehicles, such as freight cars, buses and cars, which run in traffic dense areas such as urban areas and freeways.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to an intelligent dredging method for autonomous cooperative scheduling of vehicle groups in traffic congestion. Background technique [0002] In recent years, traffic congestion is a common problem in large and medium-sized cities in my country, especially the frequency of local and short-term traffic congestion is very high, which has a great impact on the overall operation efficiency of urban traffic. In the field of road traffic, road conditions are generally divided into four categories: normal traffic, congestion, accident congestion, and construction. Among them, roads are completely blocked due to accidents and construction, and vehicles must take detours. This is a type of traffic congestion. It must be solved by on-site personnel command or traffic control; the other is the situation where normal driving becomes crowded or partially blocked, such as the number of ...

AI Technical Summary

Problems solved by technology

In the field of road traffic, road conditions are generally divided into four categories: normal traffic, congestion, accident congestion, and construction. Among them, roads are completely blocked due to accidents and construction, and vehicles must take detours. This is a type of traffic congestion. It must be solved by on-site personnel command or traffic control; the other is the situation where normal driving becomes crowded or partially blocked, such as the number of lanes in a certain road section decreases, the traffic is crowded during peak hours, slow vehicles occupy the fast lane, or traffic accidents occupy part of the road. Lane, traffic flow can pass slowly, this kind of traffic congestion occurs frequently no matter in expressways or urban streets or intersections, vehicles generally do not detour or have no alternative roads, and can only wait to pass through congested road sections, in such cases Under such conditions, drivers cannot keep abreast of the traffic conditions of the congested traffic flow, often out of anxiety or urgency, and constantly change lanes, grab lanes, jump in queues, etc., making local traffic flow chaotic, which not only reduces the overall traffic efficiency of the congested traffic flow, Moreover, it brings hidden dangers of traffic accidents and aggravates road congestion.

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