This study presents a behavioral model of customers in order to explain actual purchasing and pedestrian behaviors in a supermarket. For this purpose, we analyze the data on their pedestrian flows obtained intensive experiments using Radio Frequency Identification (RFID) tags there. Using the obtained data, we have simulated purchasing and pedestrian behaviors of actual customers. From the analysis, we have validated number of purchases items is one of the factors to explains actual customer behaviors.
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