Traffic prediction method and the correctness of its result are very important for vehicle management, so highway traffic prediction method has a close relationship with vehicle safety. Traditional prediction method has some problems, such as low accuracy and efficiency, so we present a model based on the combination of genetic algorithms and artificial neural network, and by improving these two algorithms in the process of implementation, increase further the accuracy and efficiency of the model. At last, some experiments are made to prove its fine performance.
Highway traffic prediction with neural network and genetic algorithms
01.01.2005
914565 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Highway tunnel traffic accident prediction method based on convolutional neural network
Europäisches Patentamt | 2024
|Highway Traffic Accident Detection Method with Fuzzy Neural Network
British Library Conference Proceedings | 2007
|Convolutional neural network for recognizing highway traffic congestion
Taylor & Francis Verlag | 2020
|