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Artificial Intelligence and Intelligent Transportation Systems. Planning and Administration. Journal of the Transportation Research Board No. 1774
| 题名： | Artificial Intelligence and Intelligent Transportation Systems. Planning and Administration. Journal of the Transportation Research Board No. 1774 |
| 作者： | empty |
| 关键词： | Transportation management##Artificial intelligence##Automatic highways##Transportation planning##Public transportation##Traffic control##Environmental effects##Traffic simulation##Routing##Guidance systems##Algorithms##Case studies##Intelligent transportation systems## |
| 摘要： | Contents: Autonomous Agents for Traffic Simulation and Control; PEDFLOW: Development of an Autonomous Agent Model of Pedestrian Flow; Hybrid Simulated Annealing and Case-Based Reasoning Approach for Computationally Intensive Transportation Problems: Rationale and Design; Use of Fuzzy Inference for Modeling Prediction of Transit Ridership at Individual Stops; Time Management Impacts of Pretrip Advanced Traveler Information Systems: Findings from a Washington, D.C. Case Study; Advanced Technology and Integrated Public Transit: San Gabriel Valley Smart Shuttle Field Operational Test, and Measuring Aggregate Productivity Benefits from Intelligent Transportation System Applications: The California Experience. |
| 总页数： | 136 |
| 报告类型： | 科技报告 |
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