Study on passenger prediction model based on stimulus factor in demand of bus

Abstract

In Japan, the aging society increases demands of public buses. However, the number of users of buses has continued to decline, it means maintaining the bus-business until full-scale demand arises is very important as social task. In our research, the prediction models of passengers have been studied for the purpose of improving the operation efficiency of the bus business however, some errors caused by irregular factors not based on the basic model factors. In this paper, we propose a classification of factors that cause errors and a new prediction model that can naturally absorb the irregular influences.