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Impact of Real-Time and Predictive Traffic Information on Travelers' Behavior in the I-4 Corridor. Final rept.
| 题名： | Impact of Real-Time and Predictive Traffic Information on Travelers' Behavior in the I-4 Corridor. Final rept. |
| 作者： | Al-Deek-H.; Wang-M.; Abdel-Aty-M.; Kerr-P.; Ishak-S. |
| 关键词： | *Traffic-prediction; *Travel-time; *Information-systems.;Traffic-safety; Driver-behavior; Real-time-operations; Highway-ramps; Highway-corridors; Access-; Monitoring-; Tourists-; Florida-; Travel-patterns; Traffic-congestion; Driver-aid-systems; Highway-communication; Surveys-. |
| 摘要： | The primary goal of this research project is to enhance the short-term traffic prediction model previously developed and tested by the UCF Transportation Systems Institute (UCF-TSI), and implement this model online of the 40-mile corridor of I-4 in Orlando, Florida. The model was originally developed using non-linear time series approach in a previous research study that was sponsored by the FDOT Traffic Engineering Central Office. In this project the implementation phase was directed towards making the real-time and predicted information accessible to the traveling public via a user-friendly interactive interface on the Internet. I-4 travelers now have easy access to travel time information between on- and off-ramps along the corridor in both directions and in both real-time and predictive modes. At the pre-trip planning stage, travelers can now query the system before departure to determine the predicted travel times and delays along the segment of the corridor they are about to travel. The interactive web-based system also provides travelers with predicted travel time information at different prediction horizons, ranging from 10 to 30 minutes. |
| 报告类型： | 科技报告 |
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