【摘 要】
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This research aims to evaluate the route travel time in metro transit network based on smart card data.By examining the route travel time of individual passengers,we found that the route travel time c
【机 构】
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Southeast University,School of Transportation
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This research aims to evaluate the route travel time in metro transit network based on smart card data.By examining the route travel time of individual passengers,we found that the route travel time can be inferred by examining the links travel time(are the segments of the whole route)and the time in transfer stations.To acquire the time characterization at transfer stations,we extract the reference OD pairs which have only one dominant route with transfer stations in each OD pair.In specific transfer station,we found that the time interval between transfer time and access-exit time of passengers in the same time period is constant.By considering the passenger flow changes in a day,we calculate the route travel time in morning peak hours,off-peak hours and evening peak hours.The route travel time is calculated by adding the segmented trips time together.Tested on 14 big transfer stations with 4.9 million trips in London,the standard deviation of time interval between transfer time and access-time in the transfer stations ranges from 0.00 to 2.00.
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