Transportation Forecasting: Short-Term Practical Improvements, Travel BehaviorModels and Issues, and Artificial Intelligence

摘要

;Contents: Assigning Traffic Over Essentially-Least-Cost Paths; Congestion-BasedPeak Spreading Model; Two-Stage Vehicle Availability Model; Improved Modeling of Non-Home-Based Trips; Implementation of 'Highway Capacity Manual'-Based Volume-Delay Functions in Regional Traffic Assignment Process; Incorporating Work Trip Accessibility in Nonwork Trip Generation Models in San Francisco Bay Area; Forecasting Balanced Higwhay Volumes Using Modeling Packages and Spreadsheets; Trip End Mode Split; Multivariate Marginal Frequency Analysis of Activity and Travel Patterns in First Four Waves of Puget Sound Transportation Panel; Household Activities, Life Cycle, and Role Allocation; Analysis of Stated Preferences for Intermodal Bicycle-Transit Interfaces; Traveler Response to Damaged Freeways and Transportation System Changes Following Northridge Earthquake; Residential Location, Employment Location, and Commuter Responses to Parking Charges; Comparability and Transferability of Commuter Behavior Characteristics Between Citities: Departure Time and Route-Switching Decisions; Artificial Neural Network-Based Approach to Modeling Trip Production; and Fuzzy Feedback Control for Real-Time Dynamic Traffic Routing: User Equilibrium Model Formulations and Controller Design.