Dynamic Tolling Assignment Model for Managed Lanes

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

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Dynamic Tolling Assignment Model for Managed Lanes. presented to Advanced Traffic Assignment Sub-Committee presented by Jim Hicks, Parsons Brinckerhoff September 14, 2012. Overview. Prior discussions on Managed Lanes in Florida Features of Phase I Model Implementing and Testing Model - PowerPoint PPT Presentation

Transcript of Dynamic Tolling Assignment Model for Managed Lanes

Page 1: Dynamic Tolling Assignment Model  for Managed Lanes

Dynamic Tolling Assignment Model for Managed Lanes

presented to

Advanced Traffic Assignment Sub-Committee

presented by

Jim Hicks, Parsons Brinckerhoff

September 14, 2012

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Overview

Prior discussions on Managed Lanes in Florida

Features of Phase I Model

Implementing and Testing Model

Results of Model

Discussion

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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”

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Managed Lane “Flavors”

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Behavioral Variables

Time savings

Cost

Trip Purpose

Income/Value of time

Time of Day

Household Structure (e.g. daycare?)

Employment type (on-time requirements)

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Managed Lane Policy Dimensions

Willingness to pay – toll cost per minute saved

Toll Cost – congestion related

Separate managed lanes and general purpose lanes

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Data Requirements

Willingness to Pay

Toll Cost as a function of congestion level

Auto Demand

Highway Network

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Managed Lane Modeling DevelopmentPhase I Phase II Phase III

Type Assignment-Based

Mode Choice + Assignment

Discrete Choice

Model Type Trip-Based, Static Trip-Based, Static AB and/or DTA

Features Dynamic 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

Uses LRTP & 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

Availability Summer, 2012 2013 2014-20158

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Managed Lanes Toll Segments

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Highway Network Coding Diagram

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Toll Cost as a function of Congestion

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Toll Market Calculation

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Willing to Pay Proportions

Toll Cents per Minute Saved by Demand Category

1 2 3 4 5 6 7 8

0 5 5 5 5 5 5 5 5

8 50 50 50 50 50 50 50 50

10 60 60 60 60 60 60 60 60

16.3 75 75 75 75 75 75 75 75

20 81.7 81.7 81.7 81.7 81.7 81.7 81.7 81.7

23.7 85 85 85 85 85 85 85 85

31.4 90.5 90.5 90.5 90.5 90.5 90.5 90.5 90.5

41.7 95 95 95 95 95 95 95 95

51.8 96 96 96 96 96 96 96 96

58.3 98 98 98 98 98 98 98 98

66.7 98.8 98.8 98.8 98.8 98.8 98.8 98.8 98.8

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Application Flow

WTP and Toll Policy Curves

Define toll segments and

initial toll values

Phase ILOOPSkim Tolls and

times

Phase ILOOPIn Jloop, compute

toll & nontoll demand

Phase ILOOPAssign toll & non-toll in multiclass

assignment

Phase ADJUSTCompute Max VC on toll segments & new

toll by segment

One Assignment Iteration

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Testing Model Implementation

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Flow on Managed and General Purpose Lanes

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Testing Dynamic Toll Calculations

iteration start end segment pay toll V/C

node node

1 93354 93358 1 0 25 0

1 93358 93359 1 0 25 0

1 93359 93362 1 0 25 0

1 93362 93363 1 0 25 0

2 93354 93358 1 21186 304 0.86

2 93358 93359 1 21186 304 0.86

2 93359 93362 1 21186 304 0.86

2 93362 93363 1 21186 304 0.86

3 93354 93358 1 28159 800 1.14

3 93358 93359 1 28159 800 1.14

3 93359 93362 1 28159 800 1.14

3 93362 93363 1 28159 800 1.14

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Toll Segments Numbered

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Sensitivity to Toll Values for Managed Lanes

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Sensitivity to Willingness to Pay Tolls

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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

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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

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Weaknesses

No mode shift assumed from transit

Congestion represented in daily assignment

• Statewide model application

No sensitivity to SE data of travelers

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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

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Questions or Comments?