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Estimating Volumes for I-95 HOT Lanes in Virginia. Prepared for: 2009 Planning Applications Conference Houston, TX May 18, 2009. Prepared by: Kenneth D. Kaltenbach, P.E. The Corradino Group, Inc Jeremy Raw, P.E.
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Estimating Volumes forI-95 HOT Lanes in Virginia Prepared for: 2009 Planning Applications Conference Houston, TX May 18, 2009 Prepared by: Kenneth D. Kaltenbach, P.E. The Corradino Group, Inc Jeremy Raw, P.E. Virginia Department of Transportation Transportation & Mobility Planning Division May 18, 2009
Summary • What are HOT lanes? • I-95 HOT Lanes in Fredericksburg • How do you model HOT lanes? • Structure of the finished model • Model performance
What are HOT lanes? High-Occupancy Toll (HOT) lanes are a class of managed lanes. • Designated lanes, usually on a freeway • Separated from general purpose lanes • Toll charged for low-occupancy vehicles • No toll for high-occupancy vehicles • Electronic toll collection … Sell the excess HOV capacity
What are the benefits? • I-95 is over capacity, widening for more general purpose is not likely • Encourage three-occupant autos • Sell excess capacity in HOV lanes • Create a new revenue stream by charging those willing to pay for premium service – 50 mph guaranteed
HOT Lanes Modeling in Fredericksburg • HOT Lanes already operating in Northern Virginia (Washington DC area) • HOT Lane extension to Fredericksburg is a new project • Fredericksburg Area MPO (FAMPO) needed to include the project in LRP and Air Quality Conformity. • Had to be implemented quickly, about 90 days.
Fredericksburg Only Daily 24 hours No mode choice No Transit Daily assignment Extend net into DC Estimate AM, PM and off-peak periods Discrete auto occupancy levels Virginia Railway Express Period assignment with toll and HOT lane allocation Model Effort “VERSION 2.0 MODEL” “VERSION 3.0 MODEL”
Model Requirements • Important Factors for HOT Lane Model • Point of entrance/exit • Variable tolling to control lane congestion • HOT lane effects outside model area held constant • Include Virginia Rail Express ridership effects (DC-oriented commuter rail)
Current FAMPO Version 2.0 Model Network Northern External is Prince William Co. Line
Updated Network Northern External is Potomac River • I-95 External Station split into distance stations • External skims (HOT vs. Free) computed from NCRTPB model • Use of I-95 outside model area held constant
Modeling Assumptions/Sources • Distribution of trips on I-95 corridor outside Fredericksburg area borrowed from National Capital Region model (DC) • Compiled via select link analysis • Auto occupancy rates disaggregated from FAMPO model • Time of Day directional traffic from VDOT traffic counts • Toll/free split borrowed from I-394 MnPASS Express Lane Stated Preference Survey
Modeling Assumptions • Length of trip outside area influences HOT lane use within area • Vehicle occupancy alters sensitivity to toll • SOV, HOV-2, HOV-3 • HOT versus free lane choice made in assignment • Model AM, PM and Off-Peak periods separately • Value of time based on NCRTPB model, but adjusted to 2008 values ($10.24 - $17.06 / hr)
Operating Assumptions • Goal: at least 50 mph in HOT lanes • 3+ person carpools and buses: No Toll • 2-person carpools and drive alone: Pay Toll • Directional operating plan for HOT lanes to conform with DC peak directions (AM-NB, PM-SB, Off-split) • Transponders -- no toll collection delay
Toll Diversion Source: I-394 MnPASS Express Lane Stated Preference Survey
Toll Calculation • Function of the V/C on the managed lanes • Logit function • Several toll ranges explored • Final toll rate ranged between $.00 and $0.25 per mile
Commuter RailVirginia Railway Express • VRE post-processing model • Evaluates impact of HOT lanes on VRE • Incremental logit model • AM peak period trips only • Cube Voyager PT network
Model Performance and Sensitivity • Validation • Sensitivity • Toll Estimation • HOT lane volumes
Validation • Usual 4-step methods – for example …
HOT Lane Volumes • HOT lanes coded explicitly • Multi-class assignment by vehicle occupancy HOT Lanes Band Width Plot
Next Steps • Model performed well! • Despite tight Air Quality conformity timeframe • Additional improvements coming up • Recalibrate from new NHTS • Time of Day Modeling (AM, PM, Off-Peak) • Full Mode Choice & Vehicle Occupancy Model • Spatially improved network
Questions? Thank You