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Linking System Information and System Management

Linking System Information and System Management. AASHTO SCOTE Annual Meeting 2011 Dr. Nick Compin Caltrans Office of Systems Management Planning Performance Measurement and Traffic Data Branch Ph: (916) 651-1247. Caltrans Mobility Pyramid. Building Blocks For System Information.

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Linking System Information and System Management

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  1. Linking System Information and System Management AASHTO SCOTE Annual Meeting 2011 Dr. Nick Compin Caltrans Office of Systems Management Planning Performance Measurement and Traffic Data Branch Ph: (916) 651-1247

  2. Caltrans Mobility Pyramid

  3. Building Blocks For System Information • Caltrans has deployed over 30,0000 automated detection systems on almost all of its urban freeway system, meaning that vehicle count and speed information is available in these areas.

  4. What to do with all that data? • Real-time Archive Data Management System • PeMS collects detailed, raw, data in real-time • Fixed location sensors • Processes these values in real-time, performing: • Diagnostics • Imputation for missing values • Speed calculations (if needed) • Aggregations over space and time • Many analysis functions • Numbers of reports and tools to plot, chart, tabulate, etc.

  5. What Types of Information?

  6. Animated Over Time

  7. From Information to Action • How do we get here? • The PeMS is Here!

  8. Tools for Operational Planning (TOPL) • The objective of the Tools for Operational Planning (TOPL) Project is to provide quick quantitative assessment of the congestion relief strategies for freeways and urban arterials. • These strategies include: • demand management - focuses on reducing "excess demand"; • incident management - targets resources to alleviate accident hot spots; • traveler information - seeks to reduce traveler buffer time; and • traffic control - implements aggressive ramp metering at locations where maximum reductions in congestion are likely to occur.

  9. TOPL for Operations Planning • Complete model of arterial management, including signal coordination (offset, cycle time, phase-split), • Complete model of coordinated ramp control that takes into account the limits on ramp capacity by sharing ‘space’ among a series of adjacent ramps, • Coordination of arterial signals and ramp metering, • Incorporation of ‘emissions’ and ‘travel time reliability’ as performance metrics

  10. TOPL for Real-Time Operations Our Goal Now is to Create a real-time Operator Decision Support System with the following components. • A short-term traffic simulation model that receives real-time field data and predicts behavior two hours into the future under a variety of recurrent uncertainty (chiefly demand and capacity variation) and non-recurrent uncertainty (chiefly incidents, events, lane closures) • A set of scenarios of recurrent and non-recurrent events that stress the system • A set of pre-emptive and retroactive tactical countermeasures that an operator may take to reduce the stress on the system that the scenario simulation uncovers

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