| Journal of Applied & Computational Mathematics | |
| Forecasting of Traffic Jams at Disturbed Sections of High-ways | |
| article | |
| Igor Grabec1  | |
| [1] University of Ljubljana | |
| 关键词: Forecasting; Flow dynamics; Traffic jam; | |
| DOI : 10.4172/2168-9679.1000168 | |
| 来源: Hilaris Publisher | |
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【 摘 要 】
Disturbances of driving conditions on high-ways usually lead to evolution of traffic jams. Disturbances are often caused by traffic accidents, installed bottlenecks, adverse weather, etc, and result in a decreased road capacit. By using an estimate of a desired speed in the disturbed section the traffic information providers can forecast quantitatively the evolution of jams and inform the population about them in advance. The article presents a new mathematical method for this purpose. The corresponding intelligent unit first forecasts the traffic flow at a disturbed road section based upon records of traffic flow in the past. Forecast data are next mapped to characteristics of evolving jam by using the desired speed value and a new fundamental diagram of traffic flow. Performance of the method is demonstrated by forecasting the evolution of jam at the point of maximal traffic activity on a high-way in Slovenia.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307140004219ZK.pdf | 2480KB |
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