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APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS TO INTELLIGENT VEHICLE-HIGHWAY SYSTEMS.
| 题名： | APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS TO INTELLIGENT VEHICLE-HIGHWAY SYSTEMS. |
| 作者： | Hua-J; Faghri-A |
| 关键词： | INTELLIGENT-VEHICLE-HIGHWAY-SYSTEMS; IMPLEMENTATION-; ARTIFICIAL-NEURAL-NETWORKS; APPLICATION-DOMAINS; CASE-STUDIES; TRAVEL-TIME; ESTIMATION- |
| 摘要： | The potential applications of artificial neural networks (ANNs) to intelligent vehicle-highway systems (IVHSs) are evaluated, and the extent of use and the position of ANNs in future IVHS implementations are discussed. The state of the art and the potential implementation needs of IVHSs are reviewed, and the characteristics, properties, limitations, and application domains of ANNs are discussed from a technical perspective. On the basis of review and discussion, potential application domains of ANNs to IVHSs are evaluated. A technical demand-supply matrix is provided to indicate the most possible potential application domains of ANNs to IVHSs. As an application case study of ANNs in the implementation of IVHSs, an ANN-based model is established for vehicle travel time estimation. The results and findings associated with the development of the neural network-based travel time estimation model are also reported. It is concluded that (a) ANNs can provide most techniques needed by IVHSs, and (b) for some IVHS implementation domains, ANNs may be superior to conventional techniques. The case study demonstrates the modeling feasibility of ANNs for potential IVHS implementations. |
| 总页数： | Transportation Research Record. 1994. (1453) pp83-90 (7 Fig., 26 Ref.) |
| 报告类型： | 科技报告 |
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