Intelligent dynamic route inducible system

Abstract

The invention discloses an intelligent dynamic route inducible system. The system comprises a traffic flow process, a detection unit, an identification unit, a predictive learning unit, a prediction unit, an inductive learning unit, a decision-making unit, an evaluation unit and a knowledge base. Compared with the prior art, the system provides more better inductive strategies, and realizes intelligent route induction of a traffic road network more efficiently, under the conditions that besides providing traffic induction strategies according to the traffic flow process detected in real time,a traffic induction system can complete knowledge reservation of inductive strategies in an intelligent learning mode for the inductive strategies superior to standard state in the system through a learning process, and the inductive strategies obtained through learning can be combined to the traffic flow detected in real time.

Description

technical field [0001] The invention relates to an electronic traffic guidance system, in particular to a learning type route guidance system under the traffic guidance system. Background technique [0002] The number of motor vehicles in big cities has increased sharply, and the pressure on the transportation system is increasing. Under the existing traffic road network and traffic management conditions, if there is no effective traffic management system, it will be difficult to solve the common problems of driving and parking in major cities, and the occurrence of urban traffic congestion will not be avoided. [0003] Because of the randomness and irregularity of traffic participation, traffic managers cannot plan in advance, which intensifies the pressure on urban traffic management. Traffic guidance technology is a technology that manages modern traffic more effectively and realizes traffic flow optimization. The powerful data computing capability and information proce...

AI Technical Summary

Problems solved by technology

[0007] The key of the traffic guidance system in the prior art is the route guidance. Although the electronic processing of the route guidance can be realized through the electronic platform and the efficiency of traffic management has been improved, the route guidance system has not yet been intelligentized and does not have Therefore, the existing route information in the traffic guidance system cannot be fully utilized for learning, thus the dynamic prediction of the route information in the route guidance cannot be realized, resulting in the traffic guidance system in the prior art. The route induction function is less efficient

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