论文信息 - Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks

Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks

The paper presents a method of travel time estimation by neural nets based on traffic data collected by cameras of the Intelligent Transportation System in the city of Wroclaw, Poland. The methodology is explained of using traffic intensity data as neural net inputs and of using car plate number recognition system to provide target training data. The advantages of the suggested solution are pointed out. The results of preliminary research are presented for several travel routes and neural net architectures.

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