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原文传递 Information Systems and Technology. Transportation research record.

题名：	Information Systems and Technology. Transportation research record.
关键词：	Transportation-planning; Information-systems.;Traffic-prediction; Traffic-control; Travel-time; Algorithms-; Traffic-counts; Rural-transportation; Urban-transportation; Lessons-learned; Real-time-systems; Traffic-simulation; Traffic-management.
摘要：	;Contents: Foreword; Online Recursive Algorithm for Short-Term Prediction; Investigation of Extraction, Transformation, and Loading Techniques for Traffic Data Warehouses; Special Factor Adjustment Model using Fuzzy-Neural Network in Traffic Prediction; Wavelet Transform for Feature Extraction to Improve Volume Adjustment Factors for Rural Roads; Development of TrafficXML; Genetic Algorithm-Based Approach for Optimal Location of Transit Repair Vehicles on a Large Urban Network; Learning Systems for Predicting Experimental Travel Times in the Presence of Incidents; Hybrid Model-Based and Memory-Based Traffic Prediction System; Genetically Designed Models for Accurate Imputation of Missing Traffic Counts; Double-Sided Determination of Aggregation Level for Intelligent Transportation System Data; Identifying Nearest Neighbors in a Large-Scale Incident Data Archive; Using Geographically Weighted Regression Models to Estimate Annual Average Daily Traffic; Developing Location-Aware Navigation Guides that use Mobile Geographic Information Systems; and Data Retention and Access Regimes for Wireless Message Logs in the United States: Exploratory Analysis.
报告类型：	科技报告