原文传递
IMPLEMENTING ADAPTIVE DRIVING SYSTEMS FOR INTELLIGENT VEHICLES BY USING NEURO-FUZZY NETWORKS.
| 题名： | IMPLEMENTING ADAPTIVE DRIVING SYSTEMS FOR INTELLIGENT VEHICLES BY USING NEURO-FUZZY NETWORKS. |
| 作者： | Lin-YT; Wang-F-Y; Mirchandani-PB; Wu-L; Wang-ZX; Yeo-C; Do-M |
| 关键词： | Adaptive-control; Adaptive-driving-systems; Automated-vehicle-control-for-ground-vehicles; Behavior-; Driving-; Fuzzy-controllers; Human-beings; Intelligent-vehicles; Neuro-fuzzy-networks; Personality- |
| 摘要： | The application of supervised learning to train an intelligent vehicle with a neuro-fuzzy controller to mimic the driving behavior of a human driver is discussed. An initial fuzzy control system for vehicle driving was set up on the basis of general human driving experiences, and its control rules were modified to fit the driving behavior of an individual driver. This provides an effective mechanism to construct driving control systems with personality for automated intelligent vehicles. |
| 总页数： | Transportation Research Record. 2001. (1774) pp98-105 (2 Phot., 9 Fig., 1 Tab., 25 Ref.) |
| 报告类型： | 科技报告 |
相关文献
- Traveler Behavior and Values 2003. Planning and Adminstration. Transportation research record.
- Travel Demand and Land Use, 2006. Journal of the Transportation Research Board, No. 1977.
- Driver Behavior In Traffic, Final Report, Decenber 2012.
- Development and Evaluation of a Multi-Agent Based Neuro-Fuzzy Arterial Traffic Signal Control System.
- HYBRID NEURO-FUZZY APPLICATION IN SHORT-TERM FREEWAY TRAFFIC VOLUME FORECASTING.
- DBCENTRAI.IZBD Algorithms FOR THE MXNAOEHENT AND CCMJTROIi OF TRANSPORTATION SYSTEMS
检索历史
应用推荐
