PREDICTION OF A SEQUENTIAL SHORT-TIME OD MODEL BASED ON PERSON TRIP DATA IN AN URBAN AREA

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概要

• 論文の詳細を見る

• In this paper, the structure of a time-of-day travel demand forecasting model system is discussed. A short-time Origin-Destination [OD] model is constructed to estimate traffic volume in each time class during a day. A short-time traffic assignment is also proposed considering some trips do not always arrive at a destination within the same time class and link into the next phase. Also, Sequential short-time modal split must consider traffic conditions of each time class. Therefore, joint modal split and assignment model is constructed. In these models, time distributions and trip-length are required. These models are analyzed considering differences in characteristics of trip purposes and personal attributes and estimated by model parameters from the Person trip survey data.

• Eastern Asia Society for Transportation Studiesの論文

著者

• Kajita Yoshitaka

  Dept.of Civil Engineering Faculty Of Engineering Kyushu University

• TOI Satoshi

  Dept. of Urban and Environmental Eng. Kyushu University

• KUBO Yuho

  Dept. of Urban and Environmental Eng. Kyushu University

• TATSUMI Hiroshi

  Dept. of Civil Engineering Kyushu Sangyo University

• KAJITA Yoshitaka

  Dept. of Urban and Environmental Eng. Kyushu University

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• PREDICTION OF A SEQUENTIAL SHORT-TIME OD MODEL BASED ON PERSON TRIP DATA IN AN URBAN AREA

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