Prediction of Commuter’s Daily Time Allocation

  • Fang Zong Jilin University
  • Jia Hongfei Jilin University
  • Pan Xiang Zhejiang University of Technology
  • Wu Yang Jilin University
Keywords: time allocation, commuting, activity, travel, Support Vector Regression,


This paper presents a model system to predict the time allocation in commuters’ daily activity-travel pattern. The departure time and the arrival time are estimated with Ordered Probit model and Support Vector Regression is introduced for travel time and activity duration prediction. Applied in a real-world time allocation prediction experiment, the model system shows a satisfactory level of prediction accuracy. This study provides useful insights into commuters’ activity-travel time allocation decision by identifying the important influences, and the results are readily applied to a wide range of transportation practice, such as travel information system, by providing reliable forecast for variations in travel demand over time. By introducing the Support Vector Regression, it also makes a methodological contribution in enhancing prediction accuracy of travel time and activity duration prediction.

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Fang Zong, Jilin University
College of Transportation
Jia Hongfei, Jilin University
College of Transportation
Wu Yang, Jilin University
College of Transportation


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How to Cite
Zong F, Hongfei J, Xiang P, Yang W. Prediction of Commuter’s Daily Time Allocation. Promet [Internet]. 2013Oct.27 [cited 2024Jul.22];25(5):445-5. Available from:

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