题名: |
Advanced Traffic Management Systems and Vehicle-Highway Automation 2001. Highway Operations, Capacity, and Traffic Control. Journal of the Transportation Research Board No. 1748 |
作者: |
empty |
关键词: |
Traffic management##Transportation planning##Meetings##Traffic control##Traffic flow##Traffic signal timing##Automation##Transportation management##Highway management##Traffic control optimization##Automatic control##Vehicle-highway automation##ATMS(Advanced Traffic Management Systems)## |
摘要: |
Contents: Stakeholder Requirements for Traffic Signal Preemption and Priority in Washington, D.C., Region; Method for Real-Time Recognition of Vehicle Platoons; Comparison of TRANSIMS and CORSIM Traffic Signal Simulation Modules; Real-Time Offset Transitioning Algorithm for Coordinating Traffic Signals; Assessment of Stochastic Signal Optimization Method using Microsimulation; Pedestrian Timing Alternatives and Impacts on Coordinated Signal Systems Under Split-Phasing Operations; Optimal Coordinated Ramp Metering with Advanced Moroway Optimal Control; Modifying Signal Timing During Inclement Weather; Transition Strategies to Exit Preemption Control: State-of-the-Practice Assessment; Online Turning Proportion Estimation in Real-Time Traffic-Adaptive Signal Control; Texas Driver Understanding of Abbreviations for Changeable Message Signs; Freeway Performance Measurement System: Mining Loop Detector Data; Configuration Management in Transportation Management Systems: Evaluation of Need; Breakdown-Related Capacity for Freeway with Ramp Metering; Multistage Stochastic System Optimum Dynamic Traffic Assignment Program with Recourse for Incident Traffic Management; TRICEPS-CARTESIUS: Advanced Transportation Management System Test Bed for Evaluation of Interjurisdictional Traffic Management Strategies; Freeway Crash Timeline Characteristics and Uses; Comparative Analysis of Operational Algorithms for Coordinated Ramp Metering; Monitoring Urban Freeway Incidents by Wireless Communications; Vision-Based Stop Sign Detection and Recognition System for Intelligent Vehicles; and Modeling Effects of Driver Control Assistance Systems on Traffic. |
总页数: |
191 |
报告类型: |
科技报告 |