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The methodology suggested in this research was developed and applied to the subway in Boston, Massachusetts. Trains aren't currently built with automatic traveler counters, and farecard data is just collected on entry into the system. An analysis of crowding from inferred origin-destination data had been utilized to recognize channels with a high likelihood of guests being left out during peak hours. Results from North Station during afternoon peak hours are provided right here. Image hand
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