Calibrating Model Speeds, Capacities, and Volume Delay Functions Using Local Data SE Florida FSUTMS Users Group Meeting February 6, 2009 Dean Lawrence Munn

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Typical Free-flow Speed Lookup Table

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Typical Capacity Lookup Table

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Reasons for Improving  Model outputs are more realistic and detailed  Model validation process and outcome improved  Models are sensitive to more project types  Model applications are easier to defend

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009  Indiana Statewide Travel Demand Model  Genesee County, Michigan Model  Maricopa Association of Governments Model Some Recent Projects:

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Indiana Statewide Travel Demand Model Current model covers 87,000 sq miles Model network has 45,000 links, but only covers Minor Collector or higher TAZ system has 4700 zones Extends into neighboring states, includes major metro areas Contains detailed data

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Indiana Statewide Travel Demand Model Speed assumptions have evolved over time Use real posted speed from roadway data files Modify posted speed for advisory speeds (no passing, horiz. curves, etc.) Modify posted speed using data gathered from actual travel speeds Combine travel speed and intersection delay into composite travel time Free-flow Speed Assumptions

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Free-flow Speed  Developed for I-69 Tier 1 EIS  Incorporated into ISTDM v 4  Takes estimated posted speeds  Adjusts for actual driver behavior  Data came from 26 county GPS speed survey  This methodology has been implemented in multiple MPO models Indiana Statewide Travel Demand Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Free-flow Speed  Intersection capability developed for I-69 Tier 1 EIS  Incorporated into ISTDM v 4  Adjusts travel times to account for signal delays  Method transferred to several MPO models  Recent MPO models have enhanced capabilities Accounting for Intersection Delay Indiana Statewide Travel Demand Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Development of Model Capacities  Computing an HCM compatible capacity from link attributes  Originally developed for the Indiana Statewide Model  Applied on a link by link basis  Documented in NCHRP 358 as a best practice  Subsequently implemented in many models Variables Used:  Speed  Number of Lanes  Functional Classification  Access Control  Median Type  Lane Width  Shoulder Width  Pct. Heavy Vehicles  Interchange Density  Access Points per Mile Indiana Statewide Travel Demand Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Model Capacities Adjustment to Capacity for Signal Delay  Signal delay is accounted for in capacity instead of VDF  Capacity reduction factor is a ratio of flow rates  Similar effect as VDFs with signal delay  Advantage is simplicity at assignment stage Indiana Statewide Travel Demand Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Volume-Delay Functions  Original work done in at INDOT  INDOT calibrated BPR alphas and betas  INDOT ATR data covered multiple road classes  INDOT had a handful of locations for each class  BPR alpha and beta parameters were developed and coded as link attributes Indiana Statewide Travel Demand Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Genesee County Michigan Model Current model covers 652 sq miles Model network has 4300 links TAZ system has 676 zones Network contains detailed Michigan Geographic Framework data

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Free-flow Speed Assumptions More Advanced GPS Survey Applications  Methodology developed for AMBAG model  Used for Genesee Model  Being applied for Phoenix Model Genesee County Michigan Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 End Time Correspond Model Link Model Link Min Max T L = Max - Min TLTL Start Time T1T1 T n-1 TnTn Free-flow Speed Assumptions Computing Space-Mean Speed from GPS Genesee County Michigan Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Free-flow Speed Assumptions Computing Space-Mean Speed from GPS – Separating Signals and Mid-Block  Information is used to adjust mid-block free flow speed from posted speed  Also used to add travel time for intersection delay  Actual GPS data by corridor was used to verify accuracy of Speed-Cap program Genesee County Michigan Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Maricopa Association of Governments Model Started major model update in 2008, activity based model Current model covers 11,000 sq miles Model network has 22,000 links, but only covers Minor Arterial or higher TAZ system has 2000 zones Dean was PM on supply-part modeling tasks (network) Project is on-going

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Maricopa Association of Governments Model Obtain travel speeds from GPS survey covering ¾ of road network Obtain travel speeds from loop detector data (~40 locations) Test travel speeds from other ITS detectors (radar, passive acoustic) Used the same methodology used for Genesee, Michigan Final product was a new speed lookup table Free-flow Speed Assumptions

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Model Capacities Using Typical Profiles Maricopa Association of Governments Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Model Capacities Using Typical Profiles

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Model Capacities The Problem of Multi-Hour Time Periods  HCM only provides guidance for one hour capacities  With uniform temporal distribution, multiply by number of hours  Real traffic is not uniformly distributed over time  Period-specific directional and peak factors have to be developed Maricopa Association of Governments Model

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Volume-Delay Functions  Phoenix project used extensive loop detector data  Phoenix data limited to freeways and a few arterials  Phoenix data allowed some testing of variability by area type

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Volume-Delay Functions Freeway Loop Detector Data

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Volume-Delay Functions Freeway Loop Detector Data

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Volume-Delay Functions Signalized Arterial Loop Detector Data

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Calibrating Volume-Delay Functions Curve Parameter Calibration and Evaluation Process

Calibrating Model Speeds, Capacities and Volume Delay Functions Using Local Data February 2009 Thank You Any Questions?