Keywords: origin-destination data, ticket gate, passenger flow, passengers by car, vertical circulation elements, staircase, escalator, demand estimation.

The passenger flow data is crucial for the future management of railway services. Especially when designing station facilities, the placement and scale of facilities are determined based on the number of passengers in each facilities, which significantly impacts costs. Therefore, we have examined a method to estimate the number of passengers of each train and passenger flow within the Tokyo 100 km radius of JR East without camera footage. We have constructed the basic logic for estimating the proportion of railway network, estimating the number of passengers by train car, and estimating the proportion in the stations. Based on the actual verification conducted between the estimated values by the proposed method and the measurements from the train's load sensors and the camera-based passenger count, it was found that the number of passengers by train car can be estimated with an average error of around 5% to 20%, and the utilization rate of staircases or escalators at the target platform within the station premises can be estimated with an average error of around 4%. In next step, we will tackle issues such as dealing with changes in passenger flows, further improve accuracy, and expand the scope of practical use.

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