VARIABLE SPEED LIMIT DEPLOYMENT EVALUATION I-270/I-255 Traffic and Safety Conference May 12, 2010 Missouri University of Science and Technology and HDR.

Slides:



Advertisements
Similar presentations
1 Update on Bicyclist & Pedestrian Data Collection and Modeling Efforts Transportation Research Board January 2010 Charlie Denney, Associate Michael Jones,
Advertisements

QUESTIONS (AND ANSWERS) FROM THE ALABAMA DRIVER’S MANUAL
Tysons Tysons Corner Circulator Study Board Transportation Committee June 12, 2012.
Status Report: Evaluation of Private Sector Data in Minneapolis Shawn Turner Texas Transportation.
Minnesotas Congestion Pricing Program Road User Charging Conference January, 2009 By Bernie Arseneau Minnesota (USA) Department of Transportation.
General Update March Background As the region grows, increased travel demand on our aging Metro Highway System will continue to create additional.
Beltline Highway ITS – Ramp Metering Project ODOT Planners Meeting April 25, 2012.
1 Innovative Tools October 27, 2011 Chi Mai. 2 Presentation Overview VISSIM Corridors VISSIM Protocol Hours of Congestion.
Lexington Area TransCAD Travel Demand Model July 22, 2003 Kentucky Traffic Model Users Group Meeting Kyeil Kim, Ph.D. Bernardin, Lochmueller & Associates,
Update on the Congestion Management Process (CMP) Freight Subcommittee March 11, 2010 Wenjing Pu and Andrew Meese National Capital Region Transportation.
Traffic Incident Management (TIM) Training Performance Measurements and Reducing Secondary Collisions Tim Lane, Chief of Enforcement Az Department of Transportation.
Traffic Analysis Toolbox & Highway Capacity Manual Transition
LOWER YUBA RIVER ACCORD Monitoring and Evaluation Program Redd Surveys Casey Campos PSMFC.
MOTION. 01. When an object’s distance from another object is changing, it is in ___.
Benjamin Banneker Charter Academy of Technology Making AYP Benjamin Banneker Charter Academy of Technology Making AYP.
Signs, Signals, and Pavement Markings
Urban Transportation Council Green Guide for Roads Task Force TAC 2009 Annual Conference and Exhibition Vancouver.
Select a time to count down from the clock above
Design Speed and Target Speed Norman W. Garrick Lecture 2.2 Street and Highway Design Norman W. Garrick Lecture 2.2 Street and Highway Design.
Learning Objectives To define and apply basic measures of traffic flow, including; Speed Volume Density Spacing and Headway Lane occupancy Clearance and.
WYDOT’s Variable Speed Limits AASHTO ANNUAL MEETING 2013.
Chapter 131 Chapter 13: Fundamental Concepts for Uninterrupted Flow Facilities Explain why capacity is the heart of transportation issues. Define capacity.
Capacity, Level of Service, Intersection Design (1)
Fixed Time Signal Coordination
Chapter 14: Basic Freeway Segments and Multilane Highways
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.
Case Study 4 New York State Alternate Route 7. Key Issues to Explore: Capacity of the mainline sections of NYS-7 Adequacy of the weaving sections Performance.
Progressive Signal Systems. Coordinated Systems Two or more intersections Signals have a fixed time relationship to one another Progression can be achieved.
CEE 320 Fall 2008 Course Logistics HW3 and HW4 returned Midterms returned Wednesday HW5 assigned today, due next Monday Project 1 due Friday.
2015/6/161 Traffic Flow Theory 2. Traffic Stream Characteristics.
Chapter 5: Traffic Stream Characteristics
CEE 320 Fall 2008 Queuing CEE 320 Anne Goodchild.
Chapter 3. Highway Design for Performance
1 Statistics of Freeway Traffic. 2 Overview The Freeway Performance Measurement System (PeMS) Computer Lab Visualization of Traffic Dynamics Visualization.
CEE 320 Fall 2008 Course Logistics Course grading scheme correct Team assignments posted HW 1 posted Note-taker needed Website and Transportation wiki.
15 th TRB Planning Applications Conference Atlantic City, New Jersey Joyoung Lee, New Jersey Institute of Technology Byungkyu Brian Park, University.
Design Speed and Design Traffic Concepts
Lecture #11 Signal Coordination: Chapter 22. Objectives Factors affecting coordination Basic theory of signal coordination Application to arterial progression.
Month XX, 2004 Dr. Robert Bertini Using Archived Data to Measure Operational Benefits of ITS Investments: Ramp Meters Oregon Department of Transportation.
Traffic Concepts CEE 320 Steve Muench.
Transportation Engineering
Lec 17, Ch.9, pp : Capacity of freeway sections (objectives) Understand capacity and level of service are the heart of transportation analyses Understand.
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.
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.
Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram Khairul Anuar (PhD Candidate) Dr. Filmon Habtemichael Dr. Mecit.
Transportation Engineering
I-394 MnPASS Technical Evaluation Doug Sallman – Cambridge Systematics, Inc.
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.
Chapter 5: Traffic Stream Characteristics
Oregon’s Work Zone Traffic Analysis Program FHWA Work Zone Rule Virtual Workshop November 6, 2008 Irene Toews, P.E. Oregon Department of Transportation.
Assessment and Refinement of Real-Time Travel Time Algorithms for Use in Practice November 8 th, 2007.
Introduction to Transport
Traffic Flow Fundamentals
Strategic Highway Research Program 2 Project L07 Identification and Evaluation of the Cost- Effectiveness of Highway Design Features to Reduce Nonrecurrent.
University of Minnesota Intersection Decision Support Research - Results of Crash Analysis University of Minnesota Intersection Decision Support Research.
Portland State University 11 By Maisha Mahmud Li Huan Evaluation Of SCATS Adaptive Traffic Signal Control System.
Fundamental Principles of Traffic Flow
Hcm 2010: BASIC CONCEPTS praveen edara, ph.d., p.e., PTOE
Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.
© 2014 HDR, Inc., all rights reserved. North Country Access Improvements Stakeholder Advisory Committee Meeting No. 9 January 19, 2016.
Chapter 9 Capacity and Level of Service for Highway Segments
Traffic Flow Characteristics. Dr. Attaullah Shah
Garden State Parkway HOT Lanes By Matt Lawson October 14, 2010.
LOW COST SAFETY IMPROVEMENTS Practitioner Workshop The Tools – Identification of High Crash Locations – Session #2.
Freeway Capacity and Level of Service
FM 518 By-pass Traffic Review
HERO UNIT Training Module
Presentation transcript:

VARIABLE SPEED LIMIT DEPLOYMENT EVALUATION I-270/I-255 Traffic and Safety Conference May 12, 2010 Missouri University of Science and Technology and HDR Engineering

VARIABLE SPEED LIMIT Task 1: Assessment of Law Enforcement and Public Opinions Task 2: VSL System Evaluation over Time Task 3: VSL System Evaluation over Space (Highway Segment)

VARIABLE SPEED LIMIT Task 1a Continuous On-line Public Survey Task 1b Law Enforcement Paper Survey (2 times)

VARIABLE SPEED LIMIT Task 2.1 Average speed/lane by direction during peak and off-peaks Task 2.2 Speed limit during peak period by direction Task 2.3 Speed limit compliance by posted speed limit and direction

VARIABLE SPEED LIMIT Task 2.4 Travel times by direction Travel Time in person-minutes Travel Time Index = Actual Travel Rate/Free Flow Travel Rate Task 2.5 Average traffic volumes during peak periods by direction Task 2.6 Capacity, Evaluation of Delay, Queue Clearance and Occupancy

VARIABLE SPEED LIMIT Task 2. 7 Crash Rates Crash Rates Severity Rates Affect of Speed Limit on Crash Rates Task 2.8 Evaluation of Delay and Queue Clearance Times associated with crashes/incidents

VARIABLE SPEED LIMIT Task 3 – The VSL System has 22 Controlled Segments over the 38 mile corridor Four segments will be evaluated with similar performance measurements identified in Task 2

VARIABLE SPEED LIMIT OBJECTIVES: Evaluation of performance measures Pre and Post VSL system installation Quantify the difference in fundamental traffic flow variables Quantity Potential Benefits using Delay only Cost savings in dollars

VARIABLE SPEED LIMIT Aggregation of 30 second data Lane data used Lane 2 adjacent to median and Lane 3 adjacent to shoulder Lane 1 is the farthest left lane and lane 4/5 is the right/auxiliary lane Purpose Useful for data analysis Travel Time: 5 min data used

VARIABLE SPEED LIMIT Segments 1I-64 to Route 100SB 2Route 21 to I-44NB 3Route 367 to I-170EB 4Route 370 to I-170WB SEGMENT 1 SEGMENT 2 SEGMENT 3 SEGMENT 4

VARIABLE SPEED LIMIT Time Periods Pre VSL Time PeriodsPost VSL Time Periods 1Start to mid Sept 07Start to mid Sept 08 2Mid to Last October 07Mid to Last October 08 3Start to mid Nov 07Start to mid Nov 08 4Start to mid April 08Start to mid April 09 5Dec 07 to mid Feb 08Dec 08 to mid Feb 09

VARIABLE SPEED LIMIT Daily Assessment Thursday Tuesday, Wednesday, and Thursday (monthly comparison) Weather conditions Clear Rain Snow Interval: 15 min data used

VARIABLE SPEED LIMIT Pre VSL System InstallationPost VSL System Installation 6 th September th September th September th September th October th October th October rd October th November th November th November th November th April th April th April th April 2009

VARIABLE SPEED LIMIT PRIMARY PERFORMANCE MEASURES 1) Speed 2) Volume - Capacity Estimation 3) Occupancy Analysis 4) Congestion Measures

Highway Capacity Manual (2000) definition for Roadway Capacity: the maximum sustainable flow rate at which persons or vehicles reasonably can be expected to traverse a point or a uniform section of a roadway during a given time period, under prevailing conditions. VARIABLE SPEED LIMIT

CAPACITY ESTIMATION Functions based on Greenshields models Spline regression model (fitting the two different conditions congested and un-congested with two different straight lines and the point of intersection is the roadway capacity) VARIABLE SPEED LIMIT

OCCUPANCY ANALYSIS Occupancy is the percentage of time when a short section of the highway is occupied Critical occupancy is the point where maximum flow occurs

CRITICAL OCCUPANCY Critical Occupancy= 12.8% Critical Occupancy= 10.5% Post: Steeper Slope Pre: flatter slope

VARIABLE SPEED LIMIT CONGESTION MEASURES Measures of Effectiveness Travel Time Total Delay Percent of Congested Travel

TRAVEL TIME Travel Time = Actual Travel Rate * Segment Length * Vehicle Volume * Vehicle Occupancy where: Travel Time is in person-minutes, Actual Travel Rate = 60/Average speed, in minutes per mile, Length of the segment is expressed in miles, Vehicle Volume is expressed in vehicles, and Vehicle Occupancy is expressed in persons/vehicles, Travel time represents time of travel between detectors on the segment

MODIFIED EQUATION: TRAVEL TIME L1L1 Station D 1 Station D 2 where: T 1-2 = travel time from station D 1 to station D 2, person-minutes, L 1 = distance between station D 1 and station D 2, miles, V D1, V D2 = average speed measured at station D 1 and station D 2, VOL D1, VOL D2 = volume measured at station D 1 and station D 2

TOTAL DELAY Total Delay = (Travel Time – PSL Travel Time) where: Total Delay is expressed in persons - minute, PSL stands for Posted Speed Limit PSL would have been 60 mph in the pre condition and displayed varied speed limit in the post condition.

TOTAL DELAY Modified Total Delay: Total Delay = Post VSL Travel Time – Pre VSL Travel Time Total Delay is expressed in persons - minute PCT = Total Delay / Travel Time PCT = percent of congested travel

VEHICLE MILES TRAVELED VMT = Total Volume * Segment Length Average Volume Change Pre versus Post = between -0.2% and -1.0%

VARIABLE SPEED LIMIT

VSL ACTIVATION LOGIC Occupancy: >= 7 % Volume: count > 10 vehicles/lane/30 seconds Average speed: < 60 mph Activation Sequence Posted variable speed limit signs start to flash Posted speed limit adjusted by 5 mph (40 to 60 mph) Posted speed limit meters mainline traffic flows

Analysis of 16 days of data Total Segments: 4 Total Detectors: 17 Types of Analysis (for individual detectors): 5 Types of Analysis (for a segment): 2 Output: 17 * 5 * 8 = * 4 = 688 analysis/day Data source approximately 1.4 billion lines of traffic data – average speed, volume, occupancy, per lane plus speed limit recommendation and current displayed VARIABLE SPEED LIMIT

Final Report – End of 2010 Acceptance Plan Identification of Variables Adaptive Algorithm Explore European Concepts