Control method and system for autonomous driving vehicles

Abstract

The invention discloses a control method for autonomous driving vehicles. The method comprises pre-storing road network information, wherein the road network is in a one-way network shape; according to the departure and destination information of the autonomous driving vehicle and the road network information, allocating a route in the pre-stored road network to the automatic vehicle according toa planned period, wherein the planned period is a time interval between the time when two consecutive fleets on the same road enter the road network. The method provided by the invention avoids signallights on the road, and dynamically allocates all the autonomous driving vehicles to respective fleets through a cloud real-time control strategy in order that the vehicles move according to a presetspeed curve, thereby realizing efficient and safe passage of the whole road network.

Description

technical field [0001] The invention relates to the technical fields of automatic driving and Internet of Vehicles, and in particular to a control method and system for automatic driving vehicles in the aspect of automatic driving technology. Background technique [0002] In recent years, with the rapid development of communication technology and artificial intelligence technology, autonomous driving technology has become increasingly mature. With the assistance of the Internet of Vehicles technology, the perfect automatic driving technology has the advantages of good stability, high precision, and easy multi-vehicle coordination, making intelligent traffic management in a high-density environment possible. Current research on autonomous driving technology mainly focuses on the vehicle side, that is, how to make vehicles more intelligent. However, all kinds of cars travel on the road, the roads in the urban area are narrow, the roadside parking is disordered, the signal set...

AI Technical Summary

Problems solved by technology

However, all kinds of cars travel on the road, the roads in the urban area are narrow, the roadside parking is disordered, the signal setting at the intersection is unreasonable, pedestrians and non-motorized vehicles interfere with the self-driving car, and various complex road conditions make intelligent vehicles need to deal with complex and changeable conditions. A large number of real-time calculations and judgments are performed on the scene, which puts forward high requirements for the intelligence of the autonomous vehicle. The safety of the autonomous vehicle has also been questioned by people. Indeed, to a certain extent, the traffic scene has many factors and complex relationships. , cannot be exhausted in the calculation model, in case of unrecognizable situations, security accidents are prone to occur

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