DETERMINING DEMAND ASSOCIATED WITH ORIGIN-DESTINATION PAIRS FOR BUS RIDERSHIP FORECASTING
First Claim
1. A method for forecasting demand for transportation services, comprising:
- running a count-to-demand translation module with a processor on a computer system;
at the computer system, receiving a set of count data for at least one vehicle operating to transport passengers along a route with multiple stops, wherein the count data comprises a count of passengers getting on each vehicle at each of the stops and a count of passengers getting off each vehicle at each of the stops; and
operating the translation module to determine a demand for pairs of the stops on the route based on the on and the off counts for the at least one vehicle.
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Abstract
A method for forecasting demand for transportation services. The method includes running a count-to-demand translation module with a processor on a computer system and, with the computer system, receiving a count data for passengers getting on and off a vehicle at each stop along a route. The method includes operating the translation module to determine a demand for pairs of the stops such as origin-destination pairs on the route based on the counts at each stop. The set of count data includes a geographical location associated with each stop as well as the time. The demand found by the translation module is attributed to predefined time periods. In the method, the demand of at least some of the OD pairs of the stops is proportional to the offcounts at the destination one of the stops in the pairs relative to the offcounts in the other destination stops.
61 Citations
20 Claims
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1. A method for forecasting demand for transportation services, comprising:
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running a count-to-demand translation module with a processor on a computer system; at the computer system, receiving a set of count data for at least one vehicle operating to transport passengers along a route with multiple stops, wherein the count data comprises a count of passengers getting on each vehicle at each of the stops and a count of passengers getting off each vehicle at each of the stops; and operating the translation module to determine a demand for pairs of the stops on the route based on the on and the off counts for the at least one vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A transportation system, comprising:
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a plurality of buses; an automatic passenger counter positioned on each of the buses; a vehicle location mechanism positioned on each of the buses; and a ridership prediction system in wireless communication with the buses receiving count data from the buses including a count of passengers embarking and debarking at each stop with a time and a location from the vehicle location mechanism, wherein the ridership prediction system further includes memory for storing the count data and a translation module operating to attribute the count data to origin-destination pairs of the stops on routes traveled by the buses. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-based method for predicting future ridership on a transportation route, comprising:
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storing in memory a definition of a route including a plurality of stop locations for a vehicle, wherein the memory further stores predefined sets of pairs of the stop locations including origin-destination pairs; operating the vehicle on the route including allowing passengers to embark and debark at the stop locations and further including counting embarking and debarking passengers and transmitting results of the counting as count data; and with a translation module provided on a computing device, translating the count data transmitted from the vehicle into demand for the vehicle for each of the origin-destination pairs, wherein the origin-destination pair demand is stored in memory. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification