原文传递
AN ARTIFICIAL NEURAL NETWORK CONTROLLER FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS.
| 题名： | AN ARTIFICIAL NEURAL NETWORK CONTROLLER FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS. |
| 作者： | Vitela-Javier-E; Hanebutte-Ulf-R; Reifman-Jaques |
| 关键词： | controllers-; neural-networks; speed-control |
| 摘要： | This paper reports on an Autonomous Intelligent Cruise Control (AICC) which has been designed using a feedforward artificial neural network as an example for utilizing artificial neural networks for nonlinear control problems arising in Intelligent Transportation Systems (ITS) applications. The AICC is based on a simple nonlinear model of vehicle dynamics. A Neural Network Controller (NNC) code is used to control discrete dynamical systems. In order to test the NCC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulations cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. |
| 总页数： | 1996. pp8, [1] |
| 报告类型： | 科技报告 |
相关文献
- An artificial neural network controller for intelligent transportation systems applications
- Making Automatic Passenger Counts Mainstream: Accuracy, Balancing Algorithms, and Data Structures.
- SPECTRAL BASIS NEURAL NETWORKS FOR REAL-TIME TRAVEL TIME FORECASTING.
- DETERIORATION MODELING FOR UNLAID AND OVERLAID PAVEMENTS.
- ARTIFICAL NEURAL NETWORK FOR SELECTING PAVEMENT REHABILITATION PROJECTS
- APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS TO INTELLIGENT VEHICLE-HIGHWAY SYSTEMS.
检索历史
应用推荐
