Host: The Japan Society for Management Information
Due to the issue of low birthrate and aging, securing of means of transportation is becoming a big problem. However, the number of users has continued to decrease. Therefore, the bus company is forced to severe management. In this study, we focus on the improvement of bus diagram with prediction of number of passengers. In the conventional method, the potential user was missed when diagram was generated. Therefore, our study focused on the population around the bus stop and realized business improvement based on the weather prediction and optimized diagram generation method. In addition, for the problem of perturbation of number of bus user, a new prediction model using the machine learning was established. The estimation results with actual data have shown good predictive precision.
