Www.I95Coalition.org I-95 Corridor Coalition Vehicle Probe Project 1 The Validation Process I-95 Corridor Coalition Vehicle Probe Project AASHTO SSOM -

Slides:



Advertisements
Similar presentations
Update on the Congestion Management Process (CMP) Freight Subcommittee March 11, 2010 Wenjing Pu and Andrew Meese National Capital Region Transportation.
Advertisements

VTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones Arvind Thiagarajan, Lenin Ravindranath, Katrina LaCurts, Sivan Toledo,
I-95 Corridor Coalition: Traffic Monitoring – Beyond Boundaries George Schoener Executive Director ITS Florida March 20, 2008.
Corridor planning: a quick response strategy. Background NCHRP Quick Response Urban Travel Estimation Techniques (1978) Objective: provide tools.
I-95 Corridor Coalition Vehicle Probe Project Project Overview I-95 Corridor Coalition Vehicle Probe Project AASHTO SSOM Rick.
I-95 Corridor Coalition Vehicle Probe Project 1 I-95 Corridor Coalition Vehicle Probe Project Agency Reflections AASHTO SSOM
INRIX Data Evaluation I-95 Corridor Coalition – Vehicle Probe Project (VPP) I-95 Corridor Coalition – Vehicle Probe Project (VPP) January 3, 2012.
Dynamic Traffic Assignment: Integrating Dynameq into Long Range Planning Studies Model City 2011 – Portland, Oregon Richard Walker - Portland Metro Scott.
Route 28 South of I-66 Corridor Safety and Operations Study Technical Committee Meeting #2 June 25,
HERO UNIT Training Module Work Zone Traffic Control And Incident Management Operations.
February 9, 2006TransNow Student Conference Using Ground Truth Geospatial Data to Validate Advanced Traveler Information Systems Freeway Travel Time Messages.
3/22/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 24: Freeway Weaving Section II.
An MPO “Big Data” Application Colorado Springs Metropolitan Planning Area Congestion Management Process 15 th TRB National Transportation Planning Applications.
15 th TRB Planning Applications Conference Atlantic City, New Jersey Joyoung Lee, New Jersey Institute of Technology Byungkyu Brian Park, University.
Use of Truck GPS Data for Travel Model Improvements Talking Freight Seminar April 21, 2010.
Comparison of Cell, GPS, and Bluetooth Derived External Data Results from the 2014 Tyler, Texas Study 15 th TRB National Transportation Planning Conference.
GIS Techniques and Algorithms to Automate the Processing of GPS- Derived Travel Survey Data Praprut Songchitruksa, Ph.D., P.E. Mark Ojah Texas A&M Transportation.
HEAVY AXLE LOADS ON SHORT LINES AND REGIONAL RAILROADS Georgia Railroad Association 5 th Annual Transportation Conference 5 th Annual Transportation Conference.
Assessment and Refinement of Real-Time Travel Time Algorithms for Use in Practice Nov 8, 2006.
October 6, :30 – 11:00. MPM Team Agenda Review of MPM program and team MAP-21 and other updates Mobility performance measures reporting On-going.
Truths and Myths about Traffic Data Truths and Myths about Traffic Data ITSA Presentation June 2007 AirSage Proprietary & Confidential.
Clark County PM 10 Saturation Study Robert A. Baxter, CCM T&B Systems Clark County Air Quality Forum – 03/14/06.
PM Model Performance Goals and Criteria James W. Boylan Georgia Department of Natural Resources - VISTAS National RPO Modeling Meeting Denver, CO May 26,
Because our customers don’t care about volume to “capacity” ratios, instead they want to know:
Wisconsin Traffic Operations and Safety Laboratory Department of Civil and Environmental Engineering University of Wisconsin-Madison The Wisconsin DOT.
Investigation of Speed-Flow Relations and Estimation of Volume Delay Functions for Travel Demand Models in Virginia TRB Planning Applications Conference.
VII Data Characteristics for Traffic Management: Task Overview and Update 21 June 2006 Karl Wunderlich Fellow, Transportation Analysis.
Keeping Wisconsin Moving: An Overview of WisDOT’s DMS Travel Times Kelly Langer, WisDOT, Freeway Operations Supervisor.
Calculating Statistics: Concentration Related Performance Goals James W. Boylan Georgia Department of Natural Resources PM Model Performance Workshop Chapel.
Encounter Data Validation: Review and Project Update August 25, 2015 Presenters: Amy Kearney, BA Director, Research and Analysis Team Thomas Miller, MA.
Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram Khairul Anuar (PhD Candidate) Dr. Filmon Habtemichael Dr. Mecit.
July 29, 2009 George Saylor, PE ODOT Senior ITS Engineer.
Hcm 2010: work zones.
Accuracy in Real-Time Estimation of Travel Times Galen McGill, Kristin Tufte, Josh Crain, Priya Chavan, Enas Fayed 15 th World Congress on Intelligent.
NATMEC June 5, 2006 Comparative Analysis Of Various Travel Time Estimation Algorithms To Ground Truth Data Using Archived Data Christopher M. Monsere Research.
California Department of Transportation Transportation Management Systems (TMS) and their role in addressing congestion Discussion Materials Lake Arrowhead.
Southwest Washington ITS Traffic Data Collection & Analysis: A Tale of 3 Projects Jill MacKay ITE Traffic Simulation Roundtable October 4, 2012.
Determination of Number of Probe Vehicles Required for Reliable Travel Time Measurement in Urban Network.
CARB Continuous PM 2.5 Monitoring Activity (BAM’s) Reggie Smith California Air Resources Board.
Travel Time and Reliability: Is Data Quality a Showstopper? The Georgia Navigator Experience Angshuman Guin URS Corporation
Assessment and Refinement of Real-Time Travel Time Algorithms for Use in Practice November 8 th, 2007.
NC State University Center for Urban Affairs and Community Services.
Robert L. Bertini Sirisha M. Kothuri Kristin A. Tufte Portland State University Soyoung Ahn Arizona State University 9th International IEEE Conference.
January 23, 2006Transportation Research Board 85 th Annual Meeting Using Ground Truth Geospatial Data to Validate Advanced Traveler Information Systems.
Praveen Pasumarthy, P.E., PTOE, CDM Smith Chris Edmonston, AICP, FDOT Paul Fang, FDOT INNOVATIVE METHODOLOGY TO IDENTIFY CONGESTED ROADWAYS AND BOTTLENECKS.
1 Techniques for Validating an Automatic Bottleneck Detection Tool Using Archived Freeway Sensor Data Jerzy Wieczorek, Rafael J. Fernández-Moctezuma, and.
Establishment of Freeway Link Volume Validation Targets based on Traffic Count Distributions in the Dallas-Fort Worth Region Behruz Paschai, Arash Mirzaei,
Analyzing the Mobility Impacts of TOD Level of Service in Transit Oriented Districts Service for Who?
1 Using Archived ITS Data to Automatically Identify Freeway Bottlenecks in Portland, Oregon Robert L. Bertini, Rafael J. Fernández-Moctezuma, Jerzy Wieczorek,
 You can use weighted averages to solve uniform motion problems when the objects you are considering are moving at constant rates or speeds.
1 Update on the Congestion Management Process (CMP) and Related Data Activities Wenjing Pu COG/TPB Staff Travel Management Subcommittee Meeting May 26,
Rainier Avenue South Pilot Project Update Seattle Bicycle Advisory Board Project Manager Jim Curtin September 2, 2015.
Copyright © 2011 Pearson Education, Inc. Putting Statistics to Work.
Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.
By Terry Treutel Ride Quality Consultant Former WisDOT Ride Spec Coordinator.
A case–driven comparison of Freeway Performance Measurement Systems by Shailesh Deshpande.
TRAVEL TIME ANALYSIS Use of Data IN-KY-OH Traffic Incident Management Conference October 9, 2015 Dayton, OH.
Guidance Tool for Implementation of Traffic Incident Management Performance Measures (NCHRP 07-20) December 16, 2014 Brian Hoeft Freeway and Arterial System.
Company LOGO Georgia Truck Lane Needs Identification Study Talking Freight Seminar March 19, 2008 Matthew Fowler, P.T.P Assistant State Planning Administrator.
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.
Estimating Travel Patterns on I ‐ 95 with Automated Technology NCAMPO Conference - Asheville, NC May 3, 2012 Taruna Tayal (M/A/B) Brian Wert (M/A/B) Bill.
COMMUNICATING PERFORMANCE TO VDOT Sanhita Lahiri, P.E., PTOE 1.
1 Bottleneck Identification and Forecasting in Traveler Information Systems Robert L. Bertini, Rafael Fernández-Moctezuma, Huan Li, Jerzy Wieczorek, Portland.
PORTAL: Portland Transportation Archive Listing Improving Travel Demand Forecasting Conclusion Introduction Metro is working closely with PSU researchers.
Toward Understanding and Reducing Errors in Real-Time Estimation of Travel Times Sirisha Kothuri, Kristin Tufte, Enas Fayed, Josh Crain, Robert L. Bertini.
Revised 10/30/20061 Overview of GPS FORT 130 Forest Mapping Systems.
1. If you travel at 10mph for 1 hour, how far do you travel?
Development of New Supply Models in Maryland Using Big Data
Operations Performance Measures
HERO UNIT Training Module
Presentation transcript:

I-95 Corridor Coalition Vehicle Probe Project 1 The Validation Process I-95 Corridor Coalition Vehicle Probe Project AASHTO SSOM Philip J. Tarnoff

I-95 Corridor Coalition Vehicle Probe Project 2 Program Features Data Feed Content Real-time Speed, Travel Time, Confidence level Average Speed, Free Flow Speed Travel Time Updates Every Two Minutes Monitoring Site Agency Access Only View data in real-time

I-95 Corridor Coalition Vehicle Probe Project 3 Network Coverage Core Coverage 1500 Freeway miles 1000 Arterial miles New Jersey to North Carolina Expansions All NJ Freeways All NC Interstates All SC Freeways - in planning

I-95 Corridor Coalition Vehicle Probe Project 4 Data Quality Specifications Specs are applied to freeways with flows/demand exceeding 500 vehicles per hour per direction Travel Time / Speed Data Accuracy is assessed in four flow regimes MPH30-45 MPH MPH> 60 MPH In each range the following apply Max average absolute speed error 10 MPH Speed error bias +/- 5 MPH Max Based on space mean speed - (distance/travel time)

I-95 Corridor Coalition Vehicle Probe Project 5 The Challenge Validate the accuracy of the received data within the context of the data quality specifications Perform a three year validation for approximately 1,500 freeway miles Adjust contractor payments to reflect data quality

I-95 Corridor Coalition Vehicle Probe Project 6 The Process Initial Validation (system acceptance) July through September 2008 ~ 240 miles Ongoing Validation Began October 2008 ~ 80 miles (one state) per month Bluetooth devices used for “ground truth”

I-95 Corridor Coalition Vehicle Probe Project 7 Status Initial (240 mile) validation completed Continuing validation completed in six locations (five states) Payment criteria developed and implemented All contractual requirements have been satisfied Results available on the Coalition website

I-95 Corridor Coalition Vehicle Probe Project 8 The Source of the Evaluation Results

I-95 Corridor Coalition Vehicle Probe Project 9 Summary of Overall Evaluation Results Speed Bin (mph) Speed Error Bias (mph) Average Absolute Speed Error (mph) Hours of Data Collection , ,389.8 All Bins2.35,596.8

I-95 Corridor Coalition Vehicle Probe Project 10 Payment Considerations Payment adjusted downward if error thresholds exceeded in any speed bin Weighting factors: Speed bins equally weighted (25% each) AASE receives 2/3 weight Minimum sample size must be available for previous three months Offset credit provided for exceptional data quality

I-95 Corridor Coalition Vehicle Probe Project 11 Issues for Continued Study False alarms and other short-duration, deviations of INRIX GPS data from the Bluetooth data. Appropriate outlier filtering of Bluetooth data. Special purpose lanes Data lag calculation

I-95 Corridor Coalition Vehicle Probe Project 12 Example of False Alarm / Short Duration Spike

I-95 Corridor Coalition Vehicle Probe Project 13 Examples of Data Lag Minimal Moderate Maximum

I-95 Corridor Coalition Vehicle Probe Project 14 Concluding Thoughts Validation effort is unique in terms of its extent and data volume Automated data analysis tools have been developed to support the effort Ongoing efforts to mitigate the impact of short duration deviations Data quality continues to improve as process matures

I-95 Corridor Coalition Vehicle Probe Project 15 More Information Phil Tarnoff at Stan Young at Rick Schuman at