| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 524870 | Transportation Research Part C: Emerging Technologies | 2015 | 14 Pages |
•This study investigates the effects of predictive travel time information.•A dynamic traffic assignment model is formulated in two parallel routes.•The model includes travellers’ learning processes and within-day.•Day-to-day dynamics with/without information is compared.•The effects of information accuracy are also discussed.
Providing travel time information may be effective at reducing travel costs. However, this information does not always match the actual travel time that travellers will experience. Furthermore, the information is often asymmetrically provided within the network, owing to the limitations of observation devices, prediction model calibration, and uncertainty about road conditions. The purpose of this study is to investigate the effects of predictive travel time information that is asymmetrically provided to travellers. This study formulated a dynamic traffic assignment model in origin–destination (OD) pair with two parallel routes, while considering travellers’ learning processes and within-day and day-to-day dynamics. In this study, it is assumed that different information will be provided to each traveller, according to within-day traffic dynamics. Furthermore, the information is provided for only one of two possible routes, because of observation limitations. The effects of information accuracy are also discussed in this study. The results of numerical analysis indicated that information provisions possibly reduced the negative effects of deluded equilibrium state, even when the information was only provided for one of the routes. Different effects of the travel time information and its variation were illustrated according to the allocation of the bottleneck capacities of two routes.
