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Predicting dynamic transportation demand with mobility data
Predicting dynamic transportation demand with mobility data
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机译：利用出行数据预测动态交通需求
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摘要
A travel information server estimates travel demand with mobility data. The server identifies activity types of users based, at least in part, on mobility data of the users. The mobility data has been collected over time and indicates at least locations and corresponding times at the locations. Travel information is generated with the mobility data for each of the activity types. The travel information for a first of the activity types is adjusted based, at least in part, on travel-related event data that corresponds to the first activity type to generate an adjusted travel information for the first activity type. The travel-related event data indicates an event that potentially influences travel for a short term computing an estimated travel demand with a combination of the adjusted travel information for the first activity type and the travel information for at least a second of the activity types.
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