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

Slides:



Advertisements
Similar presentations
Beltline Highway ITS – Ramp Metering Project ODOT Planners Meeting April 25, 2012.
Advertisements

GDOT’s Metro Atlanta Ramp Meters
Problem : Unsafe Driving Behavior NHTSA Statistics: Driver distraction, inattention or drowsiness account for 20% of all crashes In 2008, 6000 people.
HERO UNIT TRAINING MODULE COURSE ORIENTATION. verview Overview This course is to serve as an overall orientation of the HERO certification training program.
Presented by: SAGE KAMIYA, P.E., PTOE
Waheed Uddin, PhD., P.E. Professor and Director, CAIT Center for Advanced Infrastructure Technology Department of Civil Engineering The University of Mississippi.
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,
TRB’s National Cooperative Highway Research Program (NCHRP) Project Guidance on Quantifying Benefits of Traffic Incident Management Strategies 31.
Transforming Transportation: The Role of Intelligent Transportation Systems Matthew J. Schiemer, PE August 18, 2011.
CONGESTION PRICING Traffic Solution or Tax Scheme?
Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
June 16, 2004 Dr. Robert Bertini Michael Rose Evaluation of the “COMET” Incident Response Program Oregon Department of Transportation.
11 Quantifying Benefits of Traffic Information Provision under Stochastic Demand and Capacity Conditions: A Multi-day Traffic Equilibrium Approach Mingxin.
1 Lei Xu Term Project Presentation – CVEN 689 – Spring 2005 CVEN 689 – SPRING 2005 LEI XU May 2th, 2005 hide A GIS-BASED STUDY OF HOW THE HOT LANE IMPLEMENTATION.
Operations Planning Organizing for Travel Time Reliability Ohio Planning Conference July 15, 2014.
May 13 th, 2014 Portage County, Ohio Tallmadge Road Corridor and Interchange Improvement Project.
Traffic Incident Management – a Strategic Focus Inspector Peter Baird National Adviser: Policy and Legislation: Road Policing.
Yinhai Wang University of Washington and Harbin Institute of Technology For OpenITS Symposium Oct.
Presented by: David Jackson & Michael Snavely, Cambridge Systematics, Inc. Robert Calix, Los Angeles County Metropolitan Transportation Authority May 9,
15 th TRB Transportation Planning Applications Conference Tuesday, May 19 th, 2015 – Atlantic City, NJ Integrating Travel Demand Models & SHRP2 C11 Tools:
May 10, 2011 Life-cycle Benefit-Cost Analysis of Alternatives for Accommodating Heavy Truck Traffic in the Las Vegas Roadway Network Dr. Alexander Paz,
An Intelligent Transportation System Evaluation Tool in the FSUTMS Regional Demand Modeling Environment By Mohammed Hadi, Florida International University.
ITS Sketch Planning Tool Webinar 2:00 – 4:00 PM January 8, 2009.
Transportation leadership you can trust. presented to Talking Freight Seminar presented by Richard Margiotta Cambridge Systematics, Inc. September 21,
A Case Study of Promoting Metropolitan Freight Collaboration: The Twin Cities Experience Performance Management Framework Minnesota Department of Transportation.
TSM&O FLORIDA’S STATEWIDE IMPLEMENTATION Elizabeth Birriel, PEElizabeth Birriel, PE Florida Department of TransportationFlorida Department of TransportationTranspo2012.
BPAC. “Congestion management is the application of strategies to improve transportation system performance and reliability by reducing the adverse impacts.
Simpson County Travel Demand Model Mobility Analysis November 7, 2003.
Incident Management in Central Arkansas: Current Settings and Proposed Extensions Weihua Xiao Yupo Chan University of Arkansas at Little Rock.
Presented by Runlin Cai, CAUPD Affiliate. Issue: What determines travel mode choice Transit mode share in LA county was 3% in (Source: SCAG Year.
4-1 Model Input Dollar Value  Dollar value of time  Accident costs  Fuel costs  Emission costs.
I-6 Traffic Response Program Arterial Service Patrol Mobility Strategy Evaluation Tom Ryan, HDR Carlos Sun, MU.
Benefit-Cost Analysis of the SMART SunGuide Operations in Fort Lauderdale, Florida June 2006 Steve Corbin District ITS Operations Manager FDOT District.
Congestion Causes and Solutions. Traffic Congestion Characteristics Slower speeds Longer trip time Increased queues More vehicles.
California Department of Transportation Transportation Management Systems (TMS) and their role in addressing congestion Discussion Materials Lake Arrowhead.
0 Christopher A. Pangilinan, P.E. Special Assistant to the Deputy Administrator Research and Innovative Technology Administration, ITS Joint Program Office.
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.
Engaging State DOT’s Engaging State DOT’s 2008 ITS America State Chapters Council Annual Meeting and State Chapters Strengthening Workshop Bernie Arseneau,
Incorporating Traffic Operations into Demand Forecasting Model Daniel Ghile, Stephen Gardner 22 nd international EMME Users’ Conference, Portland September.
3000 Connecticut Avenue, N.W., Suite 208 Washington, DC
Transportation leadership you can trust. presented to Safety Data Analysis Tools Workshop presented by Krista Jeannotte Cambridge Systematics, Inc. March.
Strategic Highway Research Program 2 Project L07 Identification and Evaluation of the Cost- Effectiveness of Highway Design Features to Reduce Nonrecurrent.
1 Using Intelligent Transportation Systems (ITS) Technologies and Strategies to Better Manage Congestion Jeffrey F. Paniati Associate Administrator of.
I-95 Access Study Fredericksburg Area Project Status Update February 12, 2010.
1 based on Federal Highway Administration Capability Maturity Model Workshops Transportation Systems Management and Operations (TSM&O) Performance Measurement.
DRIVE Net: A Large-Scale Online Data Platform for Performance Analysis and Decision Support Yinhai Wang PacTrans STAR Lab University of Washington
County of Fairfax, Virginia Department of Transportation Fairfax County Parkway Corridor Study Board of Supervisors Transportation Committee December 1,
Hcm 2010: BASIC CONCEPTS praveen edara, ph.d., p.e., PTOE
Regional Concept for Transportation Operations: An action plan to address transportation operations in Southeast Michigan Talking Technology & Transportation.
Transportation Research Board Planning Applications Conference, May 2007 Given by: Ronald T. Milam, AICP Contributing Analysts: David Stanek, PE Chris.
Peachtree Road Transformation Project: Operations and Safety Analysis P.I Fulton County August 25, 2015 Buckhead CID 1.
Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.
December 17, 2010 Developing Transit Performance Measures for Integrated Multi-Modal Corridor Management.
Oregon’s All Roads Transportation Safety (ARTS) Program Zahidul Siddique, Ph.D., PE, PTOE Oregon Department of Transportation October 26, st International.
Transportation Systems Management and Operations: Why It Matters Presenter Name Date AGENCY LOGO Photo: © Shutterstock.com/iofoto ( )
Performance Measures Used in the DFW Region – How to Track and Report the M & O Investment and Results AMPO Management and Operations Work Group September.
HCM 2010: FREEWAY FACILITIES PRAVEEN EDARA, PH.D., P.E., PTOE UNIVERSITY OF MISSOURI - COLUMBIA
1 National Governors Association Roundtable Presentation April 2, 2001 Dr. Christine Johnson Director, ITS Joint Program Office Program Manager, FHWA Operations.
ABJ60 – Spatial Data and Information Science – Operations and Congestion Operations and Congestion.
2040 LONG RANGE PLAN UPDATE Congestion Management Process Plan (CMPP) Major Update February 24, 2016.
AASHTO SCOP Linking Planning to Programming P2P Link
Performance-Based Planning:
TRANSPORTATION SYSTEMS MANAGEMENT AND OPERATIONS Program Plan Development Roundtable December 13, 2016.
Study Objective First-order assessment of CAVs’ impact in Texas
ITTS FEAT Tool Methodology Review ITTS Member States Paula Dowell, PhD
MODULE 2: TSMO Strategies
INCIDENT ANALYSIS USING PROBE DATA
MODULE 2: TSMO Strategies
Presentation transcript:

JUSTIFY

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

Deficiencies in current practices Approach to estimating benefits of NaviGAtor/ITS Approach to estimating secondary crashes and ITS impact parameters How can we perform better? Summary Outline Presentation Goals

Background Do not segregate the benefits of ITS and geometric operational/safety improvements Absence of traceability between problems and solutions Use national values of “ITS impact parameters” which may not be applicable to all areas Analysis results do not reflect accurate benefits Do not identify the deficiencies in the existing ITS and roadway infrastructure to answer the question “How can we perform better?” Current Practices

Benefits of ITS/NaviGAtor System Methodology Benefits = Performance Without ITS - Performance WithITS Three main ingredients to the methodology: Traceability between various incident types and applicable countermeasures/solutions Approach to estimation of secondary crashes Approach to estimation of area-specific “Without ITS Conditions” / “ITS Impact Parameters”

Traceability Between Problems and Solutions Trigger Event Queues Severities (Fatalities, Injuries, PDO) Due to Primary Crashes Recurring Congestion Queues Secondary Crashes Severities Queues Delay Emission Throughput Delay Emission Throughput Fatalities Injuries PDO Fatalities Injuries PDO Delay Emission Throughput Tied to and Addressed by ITS Deployments Tied to and Addressed by Operational and Safety Improv. Cost of Severity Value of Time Queuing Eqn. Bad Weather Debris Stalled Vehicle Work Zones Special Events Primary Crashes Bad Weather Debris Stalled Vehicle Work Zones Special Events Primary Crashes Demand > Capacity Demand > Capacity

Benefits of ITS/NaviGAtor System Categorize current crash data by trigger events Estimate queues due to all trigger events (using queuing theory equations) Estimate secondary crashes resulting from all trigger events Estimate severities due to primary crashes Perform travel time comparisons (under “No trigger event” condition) to quantify recurring congestion Form Data Groups & Estimate Secondary Crashes Area of Influence (spatial & temporal coordinate)

Benefits of ITS/NaviGAtor System Data Availability and ITS Impact Parameters Not Available Available Without With NaviGAtor/ITS Operational & Safety Improv. Need to estimate “Without NaviGAtor/ITS” conditions data -> Estimate Impact Parameters Define control corridors Corridors having “Without ITS” and “With ITS” data  I-285 West wall (between I-75 and I-20)  SR 400 between I-285 and Old Milton Pkwy  I-85, South of Camp Creek Pkwy Control group corridors (currently No ITS)  I-20 east of Panola Road

Benefits of ITS/NaviGAtor System ITS Driven Congestion Benefits - All Trigger Events MAX QUEUE LENGTH DELAY FOR DURATION OF INCIDENT Incident Clearance Time QUEUE CLEARANCE TIME DELAY COMPONENTS QUEUE CLEARANCE TIME DELAY DURING CLEARANCE TIME TOTAL DELAY (D T ) D T = D i + D g TOTAL DELAY (D T ) D T = D i + D g V- Average Volume on the freeway C- Freeway Capacity at LOS E r- Capacity Reduction Factor g- Average flow rate during queue clearance time CARS TRUCKS TRANSIT Delay By Travel Mode Delay Savings ($) Time Value of Money ($$$) Fuel Consumption($) Reduced Emission ($) Total Congestion Benefits ($) Congestion Before = Delay D T (Before) + Emission (Before) + Fuel Consumption (Before) Congestion After = Delay D T (After) + Emission (After) + Fuel Consumption (After) Congestion Benefit (CB-ITS)= Congestion Before - Congestion After Congestion Before = Delay D T (Before) + Emission (Before) + Fuel Consumption (Before) Congestion After = Delay D T (After) + Emission (After) + Fuel Consumption (After) Congestion Benefit (CB-ITS)= Congestion Before - Congestion After

Benefits of ITS/NaviGAtor System Benefit of ITS & Proportion of ITS Benefits Benefits ITS Total = Congestion Benefit (CB-ITS) + Safety Benefit (SB-ITS) Benefits Ops Total = Congestion Benefit (CB-Ops)+ Safety Benefit (SB-Ops) Benefits Total = Congestion Benefit (CB-ITS) + Congestion Benefit (CB-Ops)+ Safety Benefit (SB-ITS) + Safety Benefit (SB-Ops) Benefits Total = Congestion Benefit (CB-ITS) + Congestion Benefit (CB-Ops)+ Safety Benefit (SB-ITS) + Safety Benefit (SB-Ops)

Justifications for Future ITS Deployments How Can We Perform Better? Categorize incident data by Trigger Events (GIS database, thematic maps) Conduct Hot-Spot Analysis Query to identify highest secondary crash locations (ITS) or high primary crashes (operational or safety improvements) Identify existing NaviGAtor coverage at Hot-Spot locations Identify the gaps in deployment and match it with problem type Fill the gaps in deployment Deploy ITS that can address primary crashes & recurring congestion

A robust methodology that: Resides on a GIS platform which ties perfectly into the NaviGAtor dashboard Provides B/C ratios by corridors and by overall system – Provides equations for estimation of secondary crashes and calculations of ITS benefits and costs – Provides approach to estimating region specific ITS impacts Categorizes the share of non-recurring congestion by incident type Provides ratio of ITS Benefits to Overall Benefits Identifies existing system deficiencies, recommends potential countermeasures and expected benefits Provides Funding Justification for ITS In Summary…..

Contact Information: Prasoon Sinha, PE, PTOE ARCADIS (770) Thank You!