01604716

Component

http://www.trb.org/Main/Blurbs/173225.aspx

Variable speed limit (VSL) schemes are developed based on the kinematic wave theory to increase discharge rates at freeway incident bottlenecks (BNs) while smoothing speed transition. The main control principle is to restrict upstream demand (in free flow) progressively to achieve three important objectives: 1) to provide gradual speed transition at the tail of an incident-induced queue, 2) to clear the queue around the BN, and 3) to discharge traffic at the stable maximum flow that can be sustained at the incident BN without breakdown. These control objectives are accomplished without imposing overly restrictive speed limits. This paper further provides remedies for the case of a reemerging queue at the BN as a result of an overestimated stable maximum flow. The results from a parameter analysis suggest that significant delay savings can be realized with the VSL control strategies.

01602496

English

pp 117-132

2015-9

Transportation Research Circular

Standing Committee on Traffic Flow Theory and Characteristics Summer Meeting

Web

Figures; References

Bottlenecks; Freeway management systems; Incident management; Traffic flow; Traffic incidents; Traffic queuing; Variable speed limits

History; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Jun 30 2016 1:48PM

• A Real-Time Signal Control Strategy for Mitigating the Impact of Bus Stops on Urban Arterials
• A Second-Order Lagrangian Macroscopic Traffic Flow Model for Freeways
• A Time-Series Analysis of Highway Capacity: Case Study of Georgia 400
• Accuracy of Pedestrian and Traffic Flow Models: Meaningful Quantifications
• Adapting Car Traffic Models and Concepts to Bicycle Traffic
• An Overview of “Revisiting the Empirical Fundamental Relationship”
• Automatic fitting procedure for the fundamental diagram
• Calibrating Multilane First-Order Traffic Flow Model with Endogenous Representation of Lane-Flow Equilibrium
• Capacity Drop: A Comparison Between Stop-and-Go Wave and Queue Congestion at Lane-Drop Bottleneck
• Collaborative Merging Behaviors and Their Impacts on Freeway Ramp Operations Under Connected Vehicle Environment
• Congestion Scenario-Based Vehicle Classification Detection Models Based on Traffic Flow Characteristics and Observed Event Data
• Continuous Flow Metering Alternative Solution to Alleviate Congestion on Interstate 70 Eisenhower–Johnson Memorial Tunnel
• Data Fusion Solutions to Compute Performance Measures for Urban Arterials
• Effects of Segregating Buses and Cars in a Congested, Non–Steady-State Street Network
• Existence, Stability, and Mitigation of Gridlock in Beltway Networks
• Gaussian Approximation for Modeling Traffic Flow on a Homogeneous Road Segment
• Heterogeneous Nonlinear Car-Following Laws for Traffic Oscillation Prediction
• Human Factors in the Fundamental Diagram
• Influential Subpaces of Connected Vehicles in Highway Traffic
• Investigation of Performance and Lane Utilization Within a Passing Lane on a Two-Lane Rural Highway
• Macroscopic Evaluation of Incident-Induced Driver Behavior Changes
• Macroscopic Relationship Between Networkwide Traffic Emissions and Fundamental Properties of the Network
• Measuring the Safety Impact of Road Infrastructure Systems on Driver Behavior: Vehicle Instrumentation and Exploratory Analysis
• Modeling Acceleration Behavior in a Connected Environment
• Optimal Velocity Model with Dual Boundary Optimal Velocity Function
• Real-Time Control of Queue Spillbacks on Signalized Arterials
• The Effect of Stochastic Volatility in Predicting Highway Breakdowns
• The Heterogeneity of Capacity Distributions Among Different Freeway Lanes
• Toward a Systematic Exploration of the Influence of Route Choices on a Network Level of Performance
• Traffic Flow Theory Milestones in Developing the TEXAS Model for Intersection Traffic in the Early 1970s
• Universalities in Fundamental Diagrams of Cars, Bicycles, and Pedestrians
• Urban Road Network Macroscopic Fundamental Diagram Analysis Under Vehicular Ad-Hoc Networks Environment
• Using Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models
• Validating the Cost-Effectiveness Model for California’s Freeway Incident Management Program