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An artificial neural network controller for intelligent transportation systems applications
| 题名： | An artificial neural network controller for intelligent transportation systems applications |
| 作者： | Reifman, J.;Hanebutte, U.R.;Vitela, J.E.; |
| 关键词： | 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION ;99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; TRAFFIC CONTROL; NEURAL NETWORKS; NONLINEAR PROBLEMS; COMPUTER GRAPHICS; PERFORMANCE TESTING; MATHEMATICAL MODELS; SAFETY; THEORETICAL DATA; COMPUTERIZED SIMULATION |
| 摘要： | An Autonomous Intelligent Cruise Control (AICC) 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 applications. The AICC is based on a simple nonlinear model of the vehicle dynamics. A Neural Network Controller (NNC) code developed at Argonne National Laboratory to control discrete dynamical systems was used for this purpose. In order to test the NNC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulation cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. More realistic vehicle dynamic models will be considered in future work. |
| 总页数： | 9p |
| 报告类型： | 科技报告 |
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