原文传递
MULTIPLE-INTERVAL FREEWAY TRAFFIC FLOW FORECASTING.
| 题名： | MULTIPLE-INTERVAL FREEWAY TRAFFIC FLOW FORECASTING. |
| 作者： | Smith-BL; Demetsky-MJ |
| 关键词： | FREEWAYS-; TRAFFIC-FLOW; FORECASTING-; REGRESSION-MODELS; ALGORITHMS-; CAPITAL-BELTWAY; VIRGINIA-; ACCURACY-; SHORT-TERM; LONG-TERM; TRAFFIC-VOLUME; ESTIMATES- |
| 摘要： | Freeway traffic flow forecasting will play an important role in intelligent transportation systems. The Transportation Research Board (TRB) Committee on Freeway Operations has included freeway flow forecasting in its 1995 research program. Much of the past research in traffic flow forecasting has addressed short-term, single-interval predictions. Such limited forecasting models will not support the development of the longer-term operational strategies needed for such events as hazardous material incidents. A multiple-interval freeway traffic flow forecasting model has been developed that predicts traffic volumes in 15-min intervals for several hours into the future. The nonparametric regression modeling technique was chosen for the multiple-interval freeway traffic flow forecasting problem. The technique possesses a number of attractive qualities for traffic forecasting. It is intuitive and uses a data base of past conditions to generate forecasts. It can also be implemented as a generic algorithm and is easily calibrated at field locations, suiting it for wide-scale deployment. The model was applied at two sites on the Capital Beltway monitored by the Northern Virginia Traffic Management System. The nonparametric regression forecasting model produced accurate short- and long-term volume estimates at both sites. |
| 总页数： | Transportation Research Record. 1996. (1554) pp136-141 (6 Fig., 3 Tab., 9 Ref.) |
| 报告类型： | 科技报告 |
相关文献
- HYBRID NEURO-FUZZY APPLICATION IN SHORT-TERM FREEWAY TRAFFIC VOLUME FORECASTING.
- Traffic Flow Theory 2010: Simulation Modeling, Transportation Research Record: Journal of the Transportation Research Board, No. 2161.
- Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network
- Traffic Flow Forecasting For Intelligent Transportation Systems; Final rept. Jan 93-1995.6
- Highway Capacity and Quality of Service 2012. Transportation Research Record: Journal of the Transportation Research Board, No. 2286.
- Demand Management and Carsharing, 2012. Transportation Research Record: Journal of the Transportation Research Board No. 2319.
检索历史
应用推荐
