Institute of Transportation, MOTC

Ying-Cheng Chen, 2007.01
Graduate Institute of Transportation Science, Tamkang University

　　Dynamic travel time forecast on an alternate path is recognized as valuable information for drivers to switch routes. However, insufficient installment of detectors especially on arterials is usually suggested by local government due to the limited budget. Therefore, model that can solve problems of dynamic travel time forecasting on alternate paths with only incomplete detector data is asked with great attention.

　　This paper suggests dynamic origin-destination matrices estimation approach to construct the link flow dynamic relationships, and applies adaptive Kalman filter process to adjust the error. Finally, a case study of alternate path travel time information is provided with deliberating experimental design to illustrate the performance of suggested approach under different levels of the layout density of vehicle detector installation, saturation flow and with/without the incident and data fusion.