Migrating from Reactive to Proactive Traffic Management 2012 ITS Virginia Annual Conference Brian Keeler
Agenda History of Traffic Management Approaches More Recent Approaches Traffic Density vs. Speed / Volume / Occupancy Algorithms Hybrid Strategy for Multi Segment Traffic Management Examples: Miami and Los Angeles Express Lanes Summary
Historical Approaches Existing Tools Traffic Signals Time of Day / Queue / Volume Based Ramp Metering Reversible Roadways Tolled Roadways (Barrier, O/D Ticket) Common Threads Speed Volume Occupancy
State of the Practice Dynamic Pricing / Managed Lanes Time of Day Speed Based Variable Speed Management Statistical / Heuristic Modelling Current Forecasted
Speed/Volume/Occupancy – Living in the Past The Average Speed You Are Looking at Already Happened! Speed is a lagging statistic Volume only tells part of the story Occupancy is a point source statistic
Traffic Density is More Forward Looking Shows the Convergence of Speed/Volume/Occupancy Data in a Meaningful Way Simple extrapolation yields a view of the near term future Allows for modifications in advance of system breakdown Allows tuning of the system to maintain expected / desired performance Allows for a corridor-wide tuning The look ahead is important!
You Understand Your Network – Use that Insight The Data you are looking at contributes to what you will see down the road and in the future Down Stream Events Effect Throughput Variable Decision Statistics Component Strategies Time of Day / Day of Week / Weather Sensors Strategically located
Complexity is Evolving As Information Becomes More Reliable & Actionable 95 Express (Miami) One segment in each direction Time of Day / Directional based Focuses on actual segment LA ExpressLanes (Los Angeles) Multiple segments each direction Not as pronounced Focuses on virtual segments Metro ExpressLanes I-105 $0.75 Adams Blvd $2.70 Metro ExpressLanes I-105 $2.20 Adams Blvd $9.95 Metro ExpressLanes I-105 $3.05 Adams Blvd $12.40
Summary Your historical perspective and data is valuable Much work is needed to make these tools truly predictable The changing/evolving sensor environment dictates a flexible approach to decision tools Brian Keeler