Prediction of Commuter’s Daily Time Allocation

Prediction of Commuter’s Daily Time Allocation

Blog Article

This paper presents a model system to predict the time allocation here 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 read more activity duration prediction.