Abstract
In recent years, the need for traffic behavior analysis is increasing, and a wide variety of systems are being developed with the progress of IT technology. In this study, we conducted two demonstration experiments in the Takagi district, which is one of the public transportation blank areas in Himeji City, with the aim of developing an artificial intelligence system such as travel demand prediction and optimized route search for smart city. In it, we could measure the daily movement data of residents, and predict the number of users and the distribution map for movement using deep learning. As the results of evaluating the prediction data, it was confirmed that an effective result was obtained with high accuracy and small error rate.
