Evaluation of Hard Shoulder vs

Slides:



Advertisements
Similar presentations
2007 Intermodal Operations Planning Workshop Bus Stop & Bus Lane Capacity: Planning Bus Routes in Downtown Seattle Owen Kehoe, PE, PTOE Transportation.
Advertisements

ISTEA is Now 20 Years Old and We are Still Searching for the Land Use-Transportation Connection. Actually, Analysis of that Connection Has Been Sought.
ARC’s Strategic Thoroughfare Plan Bridging the Gap from Travel Demand Model to Micro-Simulation GPA Conference Fall 2012 Presented By: David Pickworth,
Applying DynusT to the I-10 Corridor Study, Tucson, AZ ITE Western District Meeting Santa Barbara June 26th, 2012 Jim Schoen, PE, Kittelson & Assoc. Khang.
Using the “Cloud” in Daily Operations
Board of County Commissioners November 8, Recommendation Project Background and Location Traffic Analysis Comparison of Alternatives Public Meeting.
Intercity Person, Passenger Car and Truck Travel Patterns Daily Highway Volumes on State Highways and Interstates Ability to Evaluate Major Changes in.
HEADS UP H urricane E vacuation A nalysis and D ecision S upport U tility P rogram.
Route 28 South of I-66 Corridor Safety and Operations Study Technical Committee Meeting #2 June 25,
Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.
Planning Applications: A City- wide Microsimulation Model for Virginia Beach Craig Jordan, Old Dominion University Mecit Cetin, Old Dominion University.
Automatic loading of inputs for Real Time Evacuation Scenario Simulations: evaluation using mesoscopic models Josep M. Aymamí 15th TRB National Transportation.
Microsimulation for Rural and Exurban Regions: Lake County, California David Gerstle (presenting) & Zheng Wei Caliper Corporation.
Milton-Madison Bi-State Travel Demand Model Rob Bostrom Planning Application Conference Houston, Texas May 19, 2009.
Can Multi-Resolution Dynamic Traffic Assignment live up to the Expectation of Reliable Analysis of Incident Management Strategies Lili (Leo) Luo, P.E.,
Considerations when applying Paramics to Strategic Traffic Models Paramics User Group Meeting October 9 th, 2009 Presented Matthew.
Keir Opie National Center for Transportation and Industrial Productivity (NCTIP) New Jersey Institute of Technology (NJIT) Paramics North American User.
June 15, 2010 For the Missoula Metropolitan Planning Organization Travel Modeling
Lynn Peterson Secretary of Transportation Combining Macro Scopic and Meso Scopic Models in Toll and Traffic Revenue Forecasting SR 167 Corridor Completion.
© 2014 HDR, Inc., all rights reserved. COUNCIL BLUFFS INTERSTATE SYSTEM MODEL Jon Markt Source: FHWA.
2007 TRB Planning Application Conference D ELDOT S TATEWIDE E VACUATION M ODEL.
BPAC. “Congestion management is the application of strategies to improve transportation system performance and reliability by reducing the adverse impacts.
Evacuating Florida in 2004 Hurricane Evacuation Transportation Workshop April 5, 2004 Paul Clark FDOT - Tallahassee Emergency Management Coordinator paul.clark.
LSU HURRICANE CENTER Addressing Hurricanes and Other Hazards and Their Impacts On the Natural, Built and Human Environments Recent Lessons Learned in Highway-Based.
April 2010 Scott Smith Volpe Center / RITA / U.S. DOT Transportation Border Working Group Meeting Boston, MA An Integrated Regional Planning / Microsimulation.
What are Managed Lanes What are Express Lanes What are HOT Lanes Regional Express Lanes Network I-95 Express I-595 Express I-75 Express.
SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Background SFCTA DTA Model Peer Review Panel Meeting July.
1 Mississippi River Bridge An Analysis of Alternatives Expert Panel Review Sharon Greene & Associates.
2007 TRB Transportation Planning Applications Conference – Daytona Beach, Florida Pseudo Dynamic Traffic Assignment A Duration Based Static Assignment.
Major Transportation Corridor Studies Using an EMME/2 Travel Demand Forecasting Model: The Trans-Lake Washington Study Carlos Espindola, Youssef Dehghani.
Incorporating Traffic Operations into Demand Forecasting Model Daniel Ghile, Stephen Gardner 22 nd international EMME Users’ Conference, Portland September.
MATRIX ADJUSTMENT MACRO (DEMADJ.MAC AND DEMADJT.MAC) APPLICATIONS: SEATTLE EXPERIENCE Murli K. Adury Youssef Dehghani Sujay Davuluri Parsons Brinckerhoff.
Challenges in Using Paramics in a Secondary Plan Study – Case Study of Downsview, Toronto Paramics Users Group Meeting October 5, 2009.
Integrated Travel Demand Model Challenges and Successes Tim Padgett, P.E., Kimley-Horn Scott Thomson, P.E., KYTC Saleem Salameh, Ph.D., P.E., KYOVA IPC.
Enhancement and Validation of a Managed-Lane Subarea Network Tolling Forecast Model May 19, 2005 Stephen Tuttle (RSG), Jeff Frkonja (Portland Metro), Jack.
August 20, 2015 Transportation Analysis Meeting 2015 Update Tampa Bay Region Roberto O. Miquel, AICP.
Portland State University 11 By Maisha Mahmud Li Huan Evaluation Of SCATS Adaptive Traffic Signal Control System.
Transportation Forecasting The Four Step Model. Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate.
Travel Model Improvement Program Iowa Peer Exchange Travel Demand Model Calibration/Validation Presented by James B. Miller Iowa Department of Transportation.
Jack is currently performing travel demand model forecasting for Florida’s Turnpike. Specifically he works on toll road project forecasting to produce.
Florida’s First Eco-Sustainable City. 80,000+ Residential Units 10 million s.f. Non-Residential 20 Schools International Clean Technology Center Multi-Modal.
Interstate 95 Managed Lanes PD&E Study (95 Express) Project Development and Environment Study SE FSUTMS Users Group The Corradino Group November 2, 2007.
IH-10 Managed Lanes Project: A “Public-Public” Partnership ENGINEERS PLANNERS ECONOMISTS Wilbur Smith Associates Presented at the Value Pricing Conference.
1 Toll Modeling Analysis for the SR 520 Bridge Replacement and HOV Project 19 th Annual International EMME/2 Users’ Conference October 19-21, 2005 Presented.
Manual Distribution. Trip Distribution/Assignment Analyzing where trips come from and go to in relation to development Analyzing where trips come from.
1 Benefits of ITS During Hurricane Evacuations Hurricane Evacuation Transportation Workshop April 5, 2003.
Macro / Meso / Micro Framework on I-395 HOT Lane Conversion
SMOKE-MOVES Processing
SR 417 Extension Sketch-Level Traffic & Revenue Evaluation
S.R. 30A / U.S. 98 / Panama City Beach Parkway
Overview of FHWA CMAQ & System Performance Measures
Evaluation and Re-Design Haifa and Yafa Streets.
Validating Trip Distribution using GPS Data
APPLICATIONS OF STATEWIDE TRAVEL FORECASTING MODEL
PROJECT LOCATION Project begins at Garden Lane (East of I-4)
Jim Henricksen, MnDOT Steve Ruegg, WSP
Grey County Transportation Master Plan
CR184 (Quintette Road) Bridge #480045
Michael A. Case, Interim Executive Director
Chapter 4. Modeling Transportation Demand and Supply
Slugging in the I-395 Corridor
Johnson City MPO Travel Demand Model
Ventura County Traffic Model (VCTM) VCTC Update
2010 Hurricane Season Update
Lyle Parkway to SR 540 (Winter Lake Road)
Problem 3: Shenendehowa Campus
Purpose Tool needed to assist in planning for regional multimodal improvements in West Central Florida Develop a regional model to forecast travel patterns.
Broward County Congestion Assessment
State Route 55 Improvement Project from Interstate 5 to State Route 91
Comparison and Analysis of Big Data for a Regional Freeway Study in Washington State Amanda Deering, DKS Associates.
Presentation transcript:

Evaluation of Hard Shoulder vs Evaluation of Hard Shoulder vs. Contraflow Lanes for Hurricane Evacuation Using Florida Statewide Model Thomas Hill, FDOT Gabrielle Matthews, FDOT Li Jin, Kittelson & Associates Tyrone Scorsone, Kittelson & Associates

Introduction Florida DOT is analyzing hurricane evacuation strategies on I-75 and I-10 corridors. The two evacuation strategies are: Shoulder use for Emergency Operations – this allow evacuating vehicles to access the shoulders for through movements (all day) One Way Operations – this is contraflow and allows vehicles to access lanes dedicated to the opposite direction of traffic (during daylight hours) Florida DOT is analyzing operational strategies to move people out of hurricane evacuation zones.

Introduction Here are some illustrations of the different evacuation operations.

Study Objectives Determine traffic demand from Shoulder use for Emergency Operations and One Way Operations hurricane evacuation mitigation strategies for Florida. Through travel demand modeling effort develop volumes for inputs into more detailed traffic operation comparisons using microsimulation models.

Study Locations Phase 1: estimate evacuation traffic departing the Tampa Bay region (Pinellas, Hillsborough, Manatee, and Pasco Counties) heading north, along I-75 from SR 44 to the Stateline Three scenarios: Inside Shoulder Running, Both Shoulder Running, and Contraflow were tested Contraflow from SR 44 to Stateline with no contraflow egress until US-90

Study Locations Phase 2: estimate evacuation traffic departing the North Florida region (Duval, Nassau, Clay, Baker, St. Johns, and Flagler Counties) heading west, along I-10 from SR 23 to I-75, and along I-75 from I-10 to the Stateline. Two Scenarios: Outside Shoulder Running, and Contraflow were tested Contraflow has no egress from SR 23 to I-75.

Modeling Two models were used for the travel demand modeling analysis portion of the evacuation study. Transportation Interface for Modeling Evacuations (TIME) Model Florida Statewide Model Florida DOT has a travel demand forecasting process that is used to generate future vehicle volumes for planning, project development, and design purposes. This tested and proven process is being used to forecast vehicle volumes for evacuation planning purposes

TIME Traditional Four Step Evacuation Model Use Dynamic Traffic Assignment to estimate evacuation traffic on the subarea regional level

TIME TIME loaded network coverage on Tampa Bay region Only evacuation traffic is estimated by TIME - No background traffic I-75 evacuation traffic for 2017 was interpolated from TIME 2015 and 2020.

TIME TIME loaded network coverage on North Florida region Same as I-75, only evacuation traffic is estimated by TIME. I-10 evacuation traffic for 2017 was interpolated from TIME 2015 and 2020.

Florida Statewide Model 8,519 Internal Florida TAZs Other US TAZs GA/AL – 594 All others – 185

Florida Statewide Model Added ‘special’ evacuation TAZs to the Statewide model to load the total evacuation traffic (estimated from TIME model) at: the I-75 Northbound traffic before SR 44. the I-10 Westbound traffic before SR 23. Assign evacuation traffic to destination TAZs using gravity model. Adjusted Statewide model network for Shoulder use for Emergency Operations and One Way Operations. Statewide model trip assignment for background and evacuation traffic.

Assign Evacuation Traffic Based on the previous studies, most of the evacuating population go to friends and relatives, with the next percentage seeking a hotel/motel. A range of 5-10% of the evacuating population might seek public shelter. Evacuation traffic was assigned to have three trip purposes in this study: 10% evacuation trips go to Shelters 40% evacuation trips go to Hotel/Motel 50% evacuation trips go to Friend & Family

Shelters Shelter locations and capacity along I-75 and I-10 were taken from the TIME model database. Evacuation trips were manually assigned to the Shelter TAZs (Only shelters highlighted in red colors were used.) along I-75 and I-10. I-75 Shelters I-10 Shelters

I-75 Friend & Family and Hotel Trips I-75 Friend & Family and Hotels evacuation trip destinations were estimated separately using gravity models. The figures shows the number of I-75 evacuation Friend & Family and Hotel trips to TAZ locations.

I-75 Friend & Family and Hotel Trips The percentages of I-75 evacuation Friend & Family and Hotel trips to main areas. Change the font color for the percentages

I-10 Friend & Family and Hotel Trips I-10 Friend & Family and Hotels evacuation trip destinations were estimated separately using gravity models The figures show the number of I-75 evacuation Friend & Family and Hotel trips to TAZ locations

I-10 Friend & Family and Hotel Trips The percentages of I-10 evacuation Friend & Family and Hotel trips to main areas.

Shoulder Running Pinch Points I-75 Pinch Point Location NW 23rd Avenue – 6’8” I-10 Pinch Point Location Forest Road bridge – 8’5” CR 123 – 8’9” Photo at I-75 & NW 23rd Avenue

Shoulder Running Pinch Points Capacity was lowered at the upstream locations (0.5 miles) of pinch points.

K Factor Hourly factors were used to factor daily volumes into hourly volumes. The figure shows hourly factors from a continuous count station on I-75.

Adjusted K Factors for Evacuation The adjusted hourly factors (in orange color) for evacuation were developed from hourly factors from the Katrina evacuation and the continuous data site.

Similar diversion pattern of I-75 evacuation traffic from Shoulder use for Emergency Operations and One Way Operations Slightly higher diversion traffic from one lane Shoulder Running scenario

For I-10, there is higher diversion traffic from one lane Shoulder Running scenario, compared to Contraflow scenario

I-75 Results (Shoulder Running) I-75 Three NB General Lanes and Inside Shoulder Running Lane I-75 Three NB General Lanes and Both Inside and Outside Shoulder Running Lanes Only I-75 results are shown in this presentation (Too many slides for this presentation if I-10 results are also included in the presentation). The heat maps for I-75 one lane shoulder running and two lanes shoulder running results are shown in the slide. Two lanes shoulder running results have higher volume than one lane shoulder running results Both one lane shoulder running and two lanes shoulder running results show that evacuation traffic decreases along I-75. The congested hours are from 8am-6pm.

I -75 Results (Shoulder Running) 3 general lanes: 2000*3=6000 vph 3 general lanes + 1 hard shoulder lane: 2000*3+1000=7000 vph 3 general lanes + 2 hard shoulder lanes: 2000*3+1000*2=8000 vph The hourly demand volumes along I-75 were oversaturated at some segments and hours for the one lane shoulder running scenario. Capacity for NB GP lanes Capacity for NB GP lanes with inside shoulder lane Capacity for NB GP with both inside and outside shoulder lanes

I-75 Results (Contraflow) The Contraflow scenario runs from 9am-5pm. The congested hours are from 8am-9am and 5pm-6pm when there is no Contraflow.

I -75 Results (Contraflow) 3 general lanes + 3 contraflow lanes: 2000*3+1000*3=9000 vph The two lanes Shoulder Running alternative could provide similar service as the Contraflow alternative. One lane Shoulder Running alternative will not provide enough hourly capacity for evacuation volumes. Capacity for NB GP lanes Capacity for SB Contraflow lanes

Future Possible Improvements Deploy traffic counts and Bluetooth data collection devices and collect the data at the same time during the actual hurricane evacuation. The collected data could be used to: Improve the TIME model for estimating the evacuation volume at the start location. Improve O-D estimation for evacuation traffic trips.

Thanks!