Preliminary communication
https://doi.org/10.7307/ptt.v25i5.1190
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
Abstract
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.
Keywords
time allocation; commuting; activity; travel; Support Vector Regression
Hrčak ID:
111573
URI
Publication date:
27.10.2013.
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