ITS Sketch Planning Tool Webinar 2:00 – 4:00 PM January 8, 2009.

Slides:



Advertisements
Similar presentations
JUSTIFY. Methodology for Measuring NaviGAtor ITS Performance ITS Georgia Annual Meeting 2010 Presented By: Prasoon Sinha, P.E, PTOE Department Manager,
Advertisements

ITS Application of advanced sensor, computer, electronics, and communications technologies and management strategies in an integrated manner providing.
By: Pranav Koshiya Committee Member Huaguo Zhou, PhD 1 CE 491 dacq/idotmapdistrict.gif.
Transportation Data Palooza Washington, DC May 9, 2013 Steve Mortensen Federal Transit Administration Data for Integrated Corridor Management (ICM) Analysis,
Coordinated Highways Action Response Team -Performance and Benefits- Dr. Gang-Len Chang Department of Civil Engineering University of Maryland February,
Transforming Transportation: The Role of Intelligent Transportation Systems Matthew J. Schiemer, PE August 18, 2011.
Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
TRB Lianyu Chu *, K S Nesamani +, Hamed Benouar* Priority Based High Occupancy Vehicle Lanes Operation * California Center for Innovative Transportation.
June 16, 2004 Dr. Robert Bertini Michael Rose Evaluation of the “COMET” Incident Response Program Oregon Department of Transportation.
Congestion Reduction Using Intelligent Transportation Systems Ben Sperry University of Evansville University of Evansville MESCON March 25, 2006.
Evaluation of Potential ITS Strategies under Non-recurrent Congestion Using Microscopic Simulation Lianyu Chu, University of California, Irvine Henry Liu,
Month XX, 2004 Dr. Robert Bertini Using Archived Data to Measure Operational Benefits of ITS Investments: Ramp Meters Oregon Department of Transportation.
Automatic loading of inputs for Real Time Evacuation Scenario Simulations: evaluation using mesoscopic models Josep M. Aymamí 15th TRB National Transportation.
Lawrence Regional ITS Architecture Update. Today’s Agenda What is ITS? Review 2007 ITS Plans Review the proposed work plan Define project goals and objectives.
Florida Department of Transportation District 4 TSM&O Program Advanced Transportation Management System (ATMS) Installation in South Broward County ATMS.
Less Stop More Go EXPRESS LANES Travel Choices and Strategies to Relieve Congestion Presentation to FDOT’s Annual ITS Working Group Meeting March 2008.
Network Benefit Cost Analysis: An Overview of the Application of NET_BC Software for Caltrans District 5’s System Analysis Study TRB Planning Applications.
An Intelligent Transportation System Evaluation Tool in the FSUTMS Regional Demand Modeling Environment By Mohammed Hadi, Florida International University.
Definition - CommuterLink CommuterLink is an interagency transportation management system. What does that mean? Put another way, it is the use of computer.
AT Benefit Cost Analysis Model Highway Design, Project Management and Training Section Technical Standards Branch Presented by Bill Kenny, Director: Design,
Benefit Cost Analysis for WRTM Mike Lawrence Jack Faucett Associates ITS PCB T3 Webinar July 8, 2014.
Fast Forward Full Speed Ahead Presented at the Joint ITS Georgia / Tennessee Annual Meeting September 25, 2006 by Carla W. Holmes, P.E., PTOE Georgia Department.
Transpo 2012 The Future of Traffic Incident Management, October 30, 2012 Javier Rodriguez, P.E., ITS Operations Engineer Joe Snyder, TMC Manager FDOT District.
TSM&O FLORIDA’S STATEWIDE IMPLEMENTATION Elizabeth Birriel, PEElizabeth Birriel, PE Florida Department of TransportationFlorida Department of TransportationTranspo2012.
1 Modeling Active Traffic Management for the I-80 Integrated Corridor Mobility (ICM) Project Terry Klim, P.E. Kevin Fehon, P.E. DKS Associates D.
Incident Management in Central Arkansas: Current Settings and Proposed Extensions Weihua Xiao Yupo Chan University of Arkansas at Little Rock.
Quantifying Transportation Needs and Assessing Revenue Options: The Texas Experience presented to The Arkansas Blue Ribbon Committee on Highway Finance.
4-1 Model Input Dollar Value  Dollar value of time  Accident costs  Fuel costs  Emission costs.
January 11, 2007Map Alternatives Workshop 1 SunGuide SM Map Alternatives Workshop.
July 29, 2009 George Saylor, PE ODOT Senior ITS Engineer.
Benefit-Cost Analysis of the SMART SunGuide Operations in Fort Lauderdale, Florida June 2006 Steve Corbin District ITS Operations Manager FDOT District.
Overview of Advanced Traveler Information Systems Evaluations Joseph I. Peters, Ph.D. Manager, ITS Program Assessment U.S. Department of Transportation.
Evaluation of Alternative Methods for Identifying High Collision Concentration Locations Raghavan Srinivasan 1 Craig Lyon 2 Bhagwant Persaud 2 Carol Martell.
Mike Johnsen, FMCSA, sponsor Doug Lee, Volpe Center, PI Garrett Hagemann, Economist Kent Hymel, Economist Adam Klauber, Environmental Engr George Noel,
THE I-75 DAYTON RECONSTRUCTION
“SIComP” Broward County Communications Upgrade Florida Department of Transportation District 4 November 21, 2005.
Managed Lanes CE 550: Advanced Highway Design Damion Pregitzer.
November 15, 2005 Dr. Robert Bertini Dr. Sue Ahn Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System.
Travel Time and Reliability: Is Data Quality a Showstopper? The Georgia Navigator Experience Angshuman Guin URS Corporation
Incorporating Traffic Operations into Demand Forecasting Model Daniel Ghile, Stephen Gardner 22 nd international EMME Users’ Conference, Portland September.
Data Palooza Workshop May 9, 2013 Rabinder Bains, FHWA – Office of Policy and Government Affairs.
Calibrating Model Speeds, Capacities, and Volume Delay Functions Using Local Data SE Florida FSUTMS Users Group Meeting February 6, 2009 Dean Lawrence.
Transportation leadership you can trust. presented to Safety Data Analysis Tools Workshop presented by Krista Jeannotte Cambridge Systematics, Inc. March.
Tennessee DOT SmartWay Update Presented by: Don Dahlinger, P.E. – TDOT September 2006 Presented by: Don Dahlinger, P.E. – TDOT September 2006.
1 Using Intelligent Transportation Systems (ITS) Technologies and Strategies to Better Manage Congestion Jeffrey F. Paniati Associate Administrator of.
June 14th, 2006 Henk Taale Regional Traffic Management Method and Tool.
1 based on Federal Highway Administration Capability Maturity Model Workshops Transportation Systems Management and Operations (TSM&O) Performance Measurement.
Section 3: New and Experimental Technologies
Transportation Research Board Planning Applications Conference, May 2007 Given by: Ronald T. Milam, AICP Contributing Analysts: David Stanek, PE Chris.
Traffic Management System Status Update February, 2008.
Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.
I-270/MD 355 Simulator: An Intelligent Online Traffic Management System Dr. Gang-Len Chang Nan Zou Xiaorong Lai University of Maryland Saed Rahwanji Maryland.
1.Messaging (Update) 2.ATDM Screening and Methodology Walkthrough 1.Primary 2.Secondary 3.Tertiary 3.Policy Issues for consideration 4.Next Steps 5.Questions.
© 2014 HDR, Inc., all rights reserved. North Country Access Improvements Stakeholder Advisory Committee Meeting No. 9 January 19, 2016.
Transportation Systems Management and Operations: Why It Matters Presenter Name Date AGENCY LOGO Photo: © Shutterstock.com/iofoto ( )
Transpo 2012 Yan Xiao, Mohammed Hadi, Maria Lucia Rojas Lehman Center for Transportation Research Department of Civil and Environmental Engineering Florida.
1 National Governors Association Roundtable Presentation April 2, 2001 Dr. Christine Johnson Director, ITS Joint Program Office Program Manager, FHWA Operations.
ITS America Annual Meeting, Boston, May 2000 ITS Deployment Analysis System (IDAS) Gene M. McHale Federal Highway Administration.
Brian Kary Minnesota Department of Transportation.
Intelligent and Non-Intelligent Transportation Systems 32 Foundations of Technology Standard 18 Students will develop an understanding of and be able to.
2040 LONG RANGE PLAN UPDATE Congestion Management Process Plan (CMPP) Major Update February 24, 2016.
Safer Work Zones Through ITS Interim Traffic Management System Florida Department of Transportation Tahira Faquir.
METRO Dynamic Traffic Assignment in Action COST Presentation ODOT Region 4 April 1,
Caldwell and Wilson (1999) 1. Determine primary rating factor for a road section based on traffic volume and user types 2. Primary rating factor is then.
TRANSPORTATION SYSTEMS MANAGEMENT AND OPERATIONS Program Plan Development Roundtable December 13, 2016.
ITTS FEAT Tool Methodology Review ITTS Member States Paula Dowell, PhD
Overview of Advanced Traveler Information Systems Evaluations
Using iPeMS Performance Management Data
MODULE 2: TSMO Strategies
MODULE 2: TSMO Strategies
Presentation transcript:

ITS Sketch Planning Tool Webinar 2:00 – 4:00 PM January 8, 2009

Value and Impacts of ITS Important element of the decision making process ITS planning and programming Choice between ITS and other alternatives Understanding the impacts/quantifying the benefits Optimizing existing system operation and design

Evaluation Tool Purpose Provides long-range assessment of the benefits and costs associated with implementing ITS in a region Allows the users to assess deployment options within the framework of the MPO adopted FSUTMS models Accumulates the benefits and costs over the life- cycle duration of each of the improvement types selected by the user Allows ranking of alternative improvements

Evaluation Approaches “Goal ‑ based” approach Does not compare expected benefit to the expected cost dollar values “Economic approach” Does not account for non-quantifiable measures Combination of approaches

IDAS Powerful tool and used as a basis and a starting point for this development Evaluate a large number of ITS deployments Limitations Not consistent with the Florida calibrated models Requires manipulation of FSUTMS output files for use as inputs to the tool Software design and GUI needs improvements Methods and some parameters need to be updated Not flexible to allow evaluating new ITS elements and components, performance measures, etc.

FDOT Project Develop a tool and methods to perform ITS sketch planning evaluations as part of the FSUTMS/Cube environment No need for file conversion Use calibrated regional models Flexible and extendable evaluation environment Up to date methods and parameters Powerful data handling and modeling capabilities. State-of-the-art user interface A joint FDOT System Planning Office and FDOT ITS Section effort.

Evaluated ITS Deployment Ramp Metering Incident Management Systems Highway Advisory Radio (HAR) and Dynamic Message Signs (DMS) Advanced Travel Information Systems HOT Lanes Signal Control Transit Vehicle Signal Priority Emergency Vehicle Signal Priority Monitoring and Management of Fixed Route Transit Transit Information Systems Transit Security systems Transit electronic payment systems Smart work zones Road Weather Information Systems

Evaluation Tool

Example Combined Incident Management and DMS/HAR Evaluation

IM Evaluation Queuing analysis is used to calculate incident delays; taking incident frequency, duration, lane blockage, and traffic demand variations into consideration Queuing theory equations implemented for different periods of the day Shift of fatalities to injuries as well as secondary incident savings Evaluation of emission and fuel consumption benefits based on saving in vehicle-miles traveled in queues rather than on default reduction factors

4-11 Evaluation Methodology  Total delay for all the vehicles during one given type of incident is determined by queuing analysis  Multiplying the total delay per incident with number of incidents yields the total annual incident delay  The deployment of incident management reduces the incident duration. The default value is based on I-95, I- 595, and I-75 in FDOT District 4. Incident Type Incident Rate (No. of Incidents per MVMT) Incident Duration (Minutes) Shoulder Blockage Lane Blockage Lane Blockage Lane Blockage or More-Lane Blockage

4-12 Evaluation Methodology Safety  21% of fatalities is assumed to be shifted to injuries with incident management, which is similar to IDAS  2.8% reduction in total crash rate due to the reduction in secondary incidents based on the study by Mitertek Systems in San Antonio, Texas

4-13 Evaluation Methodology Fuel Consumption and Emissions  The calculation for scenarios with and without incident management is based on the speeds of queued and non-queued vehicles and the vehicle-miles in queue  The average queue length is obtained by using the queuing equation, which in turn is used to determine vehicle-miles in queue

DMS/HAR Evaluation  The evaluation of DMS and HAR is combined with incident management instead of evaluating them separately  The activation of DMS and HAR causes route diversions, which reduces the traffic volume on mainline  The increase in travel time for diverted vehicles is determined by the difference in average travel time along the mainline and that on alternative route(s) taking into consideration the average v/c ratio on alternative route and type of alternative route

4-15 Diversion Rate  Stated preference up to 60 percent of the freeway traffic to exit the freeway ahead of the bottleneck  Lower values for revealed preference  Function of a number of factors  “Boundedly Rational” switching behavior  Relationship used by Huchingson and Dudek Diversion Rate Studies Diversion Rate Used in Evaluation

Evaluation Methodology Road Ranger Service Patrol  The savings are total annual costs of the services provided by road ranger service patrol IndexServiceCOST per Activity Activity Number per Vehicle Mile per Year 1Abandoned$ Assist FHP$ Debris$ Diesel$ Directions$ Dispatch Not Found$ Flat Tire$ Gas$ Jump$ Lock Out$ Minor Repair$ …………

Example - Incident Management Cost (1) CCTV cameras 18,000 per assembly and 10,000 per pole installed. One per mile. Covers both direction. 6 year life-time for assembly and 20 year for pole Maintenance $3,500 per camera per year

Example - Incident Management Cost (2) Traffic Detectors $11,000 per location (assuming true-presence microwave). $7,000 for the device (including installation and fine-tuning) and $4,000 for the pole. loop detector capital cost default value of about 5,000 per detection station location per two-lane O&M cost per microwave detector is $400 per year and that of loop detectors is $600 per two lane per location One every half mile – cover one direction only. Detector life is 5 years. Pole life is 10 years. User can specify other detectors but should provide initial and O&M costs and life-time.

Example - Incident Management Cost (3) Service Patrol The number of service patrol vehicles per beat, the area of coverage for each beat, and the number of vehicles in different shifts vary per location in an urban area. Based on data obtained from District 4, the service patrol program in Broward County costs about $2,500,000 per year and cover 57.8 miles of freeways (contracted). Thus, it is estimated that the cost of the service patrol program is about $43,250 per mile per year.

4-20 Model Input ITS Component

4-21 Model Input Alternative Information  Alternative letter  Modeling year  Working directory

4-22 Model Input Parameters from Demand Model  Auto occupancy  Percentage of truck trips in Truck_Taxi trips

4-23 Model Input Input for ITS Applications  Analysis periods, days, and volume factor for each period  Type of incident management (Six combinations for incident management with or without DMS and HAR)

4-24 Model Input  Information type provided by DMS and HAR

4-25 Model Input Deployment Location  Indicate the links within the coverage of incident management by adding one new attribute “IM” and assign the value of 1 to this attribute

4-26 Model Input Analysis parameters  Incident information: frequency, duration, capacity reduction  Accident rate  Truck type and fuel consumption rate  Vehicle class percentage and emission rate for CO, HC, and NOx Notes: Default values are provided, however, user can modify it based on local conditions.

4-27 Model Input Impact factors  Diversion rate due to DMS and HAR  Fatality reduction rate and crash reduction rate

4-28 Model Input Impact factors (Con’t)  Average trip length on the mainline and on the alternative route  Percentage of diverted vehicles using freeway  Road ranger service patrol activities and costs