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1 Innovative Tools October 27, 2011 Chi Mai
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2 Presentation Overview VISSIM Corridors VISSIM Protocol Hours of Congestion
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3 VISSIM Corridors
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4 Why VISSIM as an Analysis Tool in Region 1? Major transportation corridors are operating at and over capacity Need a tool to model queue spillbacks and freeway weaving operations Complex multi-modal transportation system - ramp meter operations, transit (streetcars and buses), and pedestrians
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5 VISSIM Operational Corridors OR217 (I-5 to US26) –Applied to the OR217 Corridor Study I-5 (Wilsonville Rd Intchge to I-405) –Being applied to I-5 Bottleneck Study I-205 (I-5 Wilsonville to I-84) –Being applied to I-205 Bottleneck Study
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6 Time Period Modeled 4-hour AM Model –6:00 AM to 10:00 AM 5-hour PM Model –2:00 PM to 7:00 PM
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7 Data Collected Traffic Volume Data Travel Time Data Spot Speed Data Queuing Data Control Data Geometric Data
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11 VISSIM Protocol
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12 History with VISSIM June 2005 - Purchased VISUM and VISSIM package license October 2007 – developed VISSIM Protocol for Simulation on Freeways (Region 1 – Portland Metro) June 2011 - completed update to Protocol for VISSIM Simulation for freeways and arterials and for statewide use
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13 Updated Protocol Requires Developing a clear problem statement and objective for VISSIM model Process of developing VISSIM model –Check-in points –Review at every critical step –Consultant/Agency reviewer knows exactly what is expected at each deliverable –Checklist for reviewer
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14 Improved Process Consultants can better prepare work scope, timeline and budget for project Agency can receive the product we scoped for
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15 Hours of Congestion Developing an Empirical Tool for Estimating Duration of Congestion
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16 How Can Transportation Decisions Be Made When Standards Are Not Meaningful? What does it mean when peak hour volume to capacity (v/c) ratios far exceed 1.0? What is the difference between a peak hour v/c ratio of 1.3 and 1.6? How much worse is congestion on the facility? A measure of congestion duration is needed to evaluate networks in this condition
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17 Congestion Spreading Analysis Can Provide Decision Makers Insight Into the Reality of Congestion If financial constraints, land use forecasts, and policies on facility sizing = severe peak hour failure, how many hours of the day are congested?
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18 Current Regional Travel Demand Models Are Not Built To Predict Congestion Spreading Trips are developed for daily trip purposes Peak period trip tables are built with fixed time-of-day factors –Portland Metro Model Time Periods AM Peak (7AM - 9AM, 2 hours) Midday Peak (Noon - 1PM, 1 hour) PM Peak (4PM - 6PM, 2 hours) Network congestion affects trip distribution, mode choice, and assignment, but excess demand is not forced into shoulder periods
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19 Improves Regional Transportation Discussions Forecasting the Duration of Congestion Improves Regional Transportation Discussions Hours of Congestion provides a duration measure for congested urban networks Hours of Congestion adds a new dimension to understanding key regional bottlenecks Hours of Congestion helps identify and assess locations for operations improvements Hours of Congestion provides a comparison to known nationwide severely congested corridors
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20 Hours of Congestion (HOC) Approach: Data Mining to Build a Travel Demand Model Post- Processing Tool Data Mining Sources –PORTAL Data (Database of Freeway Loop Detectors) – 4 yrs of data –ATR Data (Database of Permanent Count Recorders) – 4 yrs of data –Roadway Tube Counts (Sample Daily Hourly Profiles) – 100+ data points –Bus GPS Records (Database of Corridor Travel Speed) – 6 weeks of data
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21 Introducing Hours of Congestion Into the Transportation Planning Process
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22 Hours of Congestion provides a duration measure for congested urban networks OR 43 (Macadam Avenue) northbound at Gaines Street, 2035 I-5 northbound ramp to Marquam Bridge, 2035 Vehicles per Hour Hour Vehicles per Hour Hour
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23 Hours of Congestion adds a new dimension to understanding key regional bottlenecks
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24 Hours of Congestion helps identify and assess locations for operations improvements
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25 Hours of Congestion provides a comparison to known nationwide severely congested corridors Source 2009 Data: INRIX National Traffic Scorecard 2009 Annual Report
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26 Questions?
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