Crossroad-traffic-signal-lamp control algorithm based on neural network

Abstract

The invention discloses a crossroad-traffic-signal-lamp control algorithm based on a neural network. The crossroad-traffic-signal-lamp control algorithm includes the steps that driving speeds and accelerated speeds when vehicles pass through crossings are detected, and single-vehicle delay time is estimated according to the quantity of traffic flow; according to the estimated single-vehicle delaytime, evaluation indexes of a whole road section are obtained; road evaluation indexes are defined according to urban road grades; a neural network model is established, and a signal lamp control strategy according to crossing traffic flow is given, wherein the delay time, the evaluation indexes of the whole road section, road evaluation indexes and walker passing time serve as an input layer of input variables; a first neural network is established, the vehicle delay time and the evaluation indexes are analyzed in the first neural network, and a vector group expressing the signal lamp controlstrategy is obtained; the vector group expressing the signal lamp strategy serves as control strategy to be output, and the congestion problem of the tide traffic flow phenomenon is effectively solved.

Description

Technical field [0001] The invention relates to the field of traffic signal simulation control, in particular to a signal light control algorithm for intersections based on neural networks. Background technique [0002] With the continuous advancement of urbanization, the number of motor vehicles has increased rapidly, and urban road congestion has become increasingly serious. In order to ensure the normal operation of vehicles between urban roads, traffic signal control at road intersections is particularly important. The traffic signal control of the intersection is mainly realized by the traffic signal controller. Therefore, the role of traffic signal controllers in daily life is becoming more and more important. [0003] In the prior art, the control of the traffic signal lights at the intersection is usually controlled according to a preset time, and the green light transit time in each direction of the intersection does not change once it is set during operation. In this c...

AI Technical Summary

Problems solved by technology

In this case, the traffic conditions at road intersections are ever-changing. When a certain direction is congested or multiple directions are congested, the road intersection is still controlled according to the predetermined method of traffic lights, which not only does not alleviate the traffic situation, but often leads to congestion. getting more serious

[0004] Especially in some cities, the phenomenon of tidal traffic flow is serious, and there is often serious congestion in one direction, but there are no cars passing by in the other direction. If the timing control method is still used, the congestion will only be more serious

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