原文传递
Artificial Intelligence–Based Architecture for Real-Time Traffic Flow Management
| 题名： | Artificial Intelligence–Based Architecture for Real-Time Traffic Flow Management |
| 作者： | Sadek-AW; Smith-BL; Demetsky-MJ |
| 关键词： | Real time control; Highway traffic control; Artificial intelligence; Traffic congestion; Routing; Strategic planning; Decision support systems; Real time; Traffic management; Strategies |
| 摘要： | Real-time traffic flow management has recently emerged as one of the promising approaches to alleviating congestion. This approach uses real-time and predicted traffic information to develop routing strategies that attempt to optimize the performance of the highway network. A survey of existing approaches to real-time traffic management indicated that they suffer from several limitations. In an attempt to overcome these, the authors developed an architecture for a routing decision support system (DSS) based on two emerging artificial intelligence paradigms: case-based reasoning and stochastic search algorithms. This architecture promises to allow the routing DSS to (a) process information in real time, (b) learn from experience, (c) handle the uncertainty associated with predicting traffic conditions and driver behavior, (d) balance the tradeoff between accuracy and efficiency, and (e) deal with missing and incomplete data problems. |
| 总页数： | Transportation Research Record.1998. pp 53-58 (FIGS: 2 Fig. REFS: 23 Ref.) |
| 报告类型： | 科技报告 |
相关文献
- Automated Methods for Converting a Non Real-time Cartesian Multi-body Vehicle Dynamics Model to a Real-time Recursive Model
- ACTUATED CONTROLLER SETTINGS FOR THE DIAMOND INTERCHANGE WITH THREE-PHASE OPERATION.
- Vehicle Probe Based Real-Time Traffic Monitoring on Urban Roadway Networks.
- Development of Decision Support Systems for Real-Time Freeway Traffic Routing. Volume 2
- MACROSCOPIC MODELING OF FREEWAY TRAFFIC USING AN ARTIFICIAL NEURAL NETWORK.
- CASE-BASE DESIGN FOR A REAL-TIME TRAFFIC FLOW MANAGEMENT DECISION SUPPORT SYSTEM.
检索历史
应用推荐
