| dc.description.abstract | Provide the appropriate traffic information who can make a decision for highway drivers allow drivers to select appropriate routes and departure time to avoid congestion, especially deal with travel time. This traffic information can make drivers select the shortest travel time to arrive destiniation, and elaborate the whole effects for highway network, in addition, when using real time traffic information, it is necessary to forecast future travel time for Advanced Traveler Information System.
This research is aimed at work zones in highway, studying the change of traffic flow with a microscopic view. There are two phases in the research. First, using data to define the effect range of work zones and analyze the change lane behaviors of drivers in live investigate. Take one step ahead, we write simulation formula which produce traffic information. Second, the research discuss different traffic flow, different location length of vehicle detector and different work zones length optained by vehicle detector. Utilizing backpropagation algorithm to build forecasting highway travel time models can provide exact predition. This result can be the base of making decisions for drivers.
After repeatedly correcting and testing, the effect of forecasting model constructed in the research is very well, and belongs to high correct forecast. The research can be provided to forecast travel time for highway travel time estimation. | en_US |