The day-to-day dynamics of the prediction of travel time by commuters on their next trip, with particular emphasis on the effect of information availability, are investigated using an experimental approach involving commuters in a simulated commuting system. A travel time prediction model developed previously for a limited information situation provides the framework for analyzing this phenomenon, using results obtained from a second experiment where users are provided with complete information on the previous day's performance. Insights into the effect of information availability are obtained through the comparative analysis of the model's performance and estimated parameter values in the two experiments. The results suggest that additional information tends to reduce the perceived uncertainty associated with the system's performance; commuters combine this supplied information with their latest experienced travel time in forming a base value for the predicted travel time on the next trip.
|Original language||English (US)|
|Number of pages||7|
|Journal||Transportation Research Record|
|State||Published - Dec 1 1987|
ASJC Scopus subject areas
- Civil and Structural Engineering