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Dynamic Tolling Assignment Model for Managed Lanes presented to Advanced Traffic Assignment Sub-Committee presented by Jim Hicks, Parsons Brinckerhoff.

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Presentation on theme: "Dynamic Tolling Assignment Model for Managed Lanes presented to Advanced Traffic Assignment Sub-Committee presented by Jim Hicks, Parsons Brinckerhoff."— Presentation transcript:

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2 Dynamic Tolling Assignment Model for Managed Lanes presented to Advanced Traffic Assignment Sub-Committee presented by Jim Hicks, Parsons Brinckerhoff September 14, 2012

3 Overview Prior discussions on Managed Lanes in Florida Features of Phase I Model Implementing and Testing Model Results of Model Discussion 1

4 Conceptual Requirements Flexible – able to accommodate most “flavors” of managed lanes within a unified approach Behaviorally Sensitive – Includes variables that are important to selection and use of a managed lane Policy Sensitive – Has the ability to test different Managed Lane Policies (e.g., tolls, congestion sensitive) Ease of use – Model implementation compatible with FSUTMS and a reasonable runtime Understandable – No “black boxes” 2

5 Managed Lane “Flavors” HOV - only Express Lanes Truck Only Reversible lanes HOT – SOV pay Dynamic Tolling Open Road Tolling Dedicated Facilities Pre-pay and/or Pay per use (toll booths) ITS Solutions (Traffic calming, speed advisories, incident management) 3

6 Behavioral Variables Time savings Cost Trip Purpose Income/Value of time Time of Day Household Structure (e.g. daycare?) Employment type (on-time requirements) 4

7 Managed Lane Policy Dimensions Willingness to pay – toll cost per minute saved Toll Cost – congestion related Separate managed lanes and general purpose lanes 5

8 Data Requirements Willingness to Pay Toll Cost as a function of congestion level Auto Demand Highway Network 6

9 Managed Lane Modeling Development Phase IPhase IIPhase III TypeAssignment- Based Mode Choice + Assignment Discrete Choice Model TypeTrip-Based, Static AB and/or DTA FeaturesDynamic toll Estimation, Willingness to pay Curve, Toll Policy Feedback of toll LOS skims to mode choice. Sensitive to multi- modal shifts Incorporates detailed HHLD characteristics for toll choice UsesLRTP & Corridor Planning Multi-modal corridor evaluation Policy Sensitivity Testing, and TP Planning Data Requirements SP/RP survey for WTP curve or logit estimation SP+RP survey to estimation and calibrate MC logit HIS supportive of AB models AvailabilitySummer, 201220132014-2015 7

10 Managed Lanes Toll Segments 8

11 Highway Network Coding Diagram 9

12 Toll Cost as a function of Congestion 10

13 Toll Market Calculation 11

14 Willing to Pay Proportions Toll Cents per Minute Saved by Demand Category 12345678 055555555 85050505050505050 106060606060606060 16.37575757575757575 2081.781.781.781.781.781.781.781.7 23.78585858585858585 31.490.590.590.590.590.590.590.590.5 41.79595959595959595 51.89696969696969696 58.39898989898989898 66.798.898.898.898.898.898.898.898.8 12

15 Application Flow WTP and Toll Policy Curves Define toll segments and initial toll values Phase ILOOP Skim Tolls and times Phase ILOOP In Jloop, compute toll & nontoll demand Phase ILOOP Assign toll & non- toll in multiclass assignment Phase ADJUST Compute Max VC on toll segments & new toll by segment One Assignment Iteration 13

16 Testing Model Implementation 14

17 Flow on Managed and General Purpose Lanes 15

18 Testing Dynamic Toll Calculations iterationstartendsegmentpaytollV/Cnode 1933549335810250 1933589335910250 1933599336210250 1933629336310250 293354933581211863040.86 293358933591211863040.86 293359933621211863040.86 293362933631211863040.86 393354933581281598001.14 393358933591281598001.14 393359933621281598001.14 393362933631281598001.14 16

19 Toll Segments Numbered 17

20 Sensitivity to Toll Values for Managed Lanes 18

21 Sensitivity to Willingness to Pay Tolls 19

22 Adaptations Fixed Toll – subset of toll policy Allows multiple toll policies Allows for multiple markets income stratified Purpose Stratified Can still do accell/decell at toll booths 20

23 Strengths Planning Level Application No a priori assumption of toll Assures no congestion on toll facility Useful tool for evaluating LOS / Revenue Goals Testing toll policies Customized for WTP 21

24 Weaknesses No mode shift assumed from transit Congestion represented in daily assignment Statewide model application No sensitivity to SE data of travelers 22

25 FSUTMS Apps? Urban HOT lanes Urban Tolled Freeways Rural Turnpike? – willingness to pay characteristics need evaluation Not sufficient for multi-modal corridors, but could play a role 23

26 Questions or Comments?


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