TRAFFIC SIGNAL OPTIMIZATION: A Coordinated Effort Tom Dancey, P.E. Signal System Engineer City of Springfield CITY OF SPRINGFIELD & MISSOURI DEPARTMENT.

Slides:

Advertisements

Similar presentations

Eric Graves, P.E. City Traffic Engineer Alpharetta, Georgia

Advertisements

NICHOLS SCHOOL TRAFFIC OPERATIONS STUDY. Existing Operations Examined Data Collection  On-site Count Collection of Representative Traffic Conditions.

Automated Bicycle Data Collection: A Case Study from Portland, OR Western District Annual ITE Meeting June 26th, 2012 Presenter: Sirisha Kothuri

Fixed Time Signal Coordination

Lecture 1 Traffic Signal Coordination. Lecture 1 Why? When the traffic signals are placed close enough, it is often seen that the cars waiting in a queue.

Case Study 2 New York State Route 146 Corridor. This case study is about a Traffic Impact Assessment for a proposed site development in Clifton Park,

ACS-Lite Offset Tuning Algorithm. Collect data from advance detectors on coordinated approaches Develop a Statistical Flow Profile correlated to the phase.

ACS-Lite Split Tuning Algorithm. Collect data Correlate data to signal phasing Perform analysis Implement phase split adjustments.

INTRODUCTION TO TRANSPORT Lecture 7 Introduction to Transport Lecture 7: Signal Coordination.

CE 2710: Transportation Engineering Traffic Signals April 3, 2009 Nicholas Lownes, Ph.D.

1 Charlie Wetzel, PE, PTOE County Traffic Engineer Seminole County Florida 10/18/11.

Presented by: SAGE KAMIYA, P.E., PTOE

Transportation Engineering

INTRODUCTION TO TRANSPORT Lecture 3 Introduction to Transport Lecture 4: Traffic Signal.

Planning for Success: Applying Systems Engineering to ASCT Implementation MOITS – Traffic Signals Subcommitte National Capital Region Transportation Planning.

City of Little Rock Public Works – Traffic Engineering Division City of Little Rock City of Little Rock Dallas Phasing Implementation Rodney Parham Road.

Current Practices in Traffic Signal Coordination

CEE 764 – Fall 2010 Topic 7 Special Issues on Signal Coordination.

Route 28 South of I-66 Corridor Safety and Operations Study Technical Committee Meeting #2 June 25,

Lecture #12 Arterial Design and LOS Analysis. Objectives  Understand the factors in arterial design Understand how arterial LOS is determined.

SIGNAL SYSTEMS AND SUBSYSTEMS Tapan K. Datta, Ph.D., P.E.

Progressive Signal Systems. Coordinated Systems Two or more intersections Signals have a fixed time relationship to one another Progression can be achieved.

CTC-340 Signals - Basics. Terms & Definitions (review) Cycle - Cycle Length - Interval -. change interval - clearance interval- change + clearance = Yi.

Lec 24, Ch.19: Actuated signals and detectors (Objectives) Learn terminology related to actuated signals Understand why and where actuated signals are.

Lec 15, Ch.8, pp : Signal Timing (Objective)

PASSER II SOFTWARE.

INTRODUCTION TO TRANSPORT Lecture 7 Introduction to Transport Lecture 7: Signal Coordination.

Optimal Adaptive Signal Control for Diamond Interchanges Using Dynamic Programming Optimal Adaptive Signal Control for Diamond Interchanges Using Dynamic.

Customized Simulation Modeling Using PARAMICS Application Programming Interface Henry Liu, Lianyu Chu & Will Recker.

Gainesville Area Traffic Management System. Traffic Management System  In 1984, the original Traffic Signal Master Plan was developed for the Gainesville.

Transportation Research Board 2004 Annual Meeting Adaptive Signal Control Workshop Session 2: Field Experience January 11, 2004.

2015 Traffic Signals 101 Topic 7 Field Operations.

Transportation Research Group University of Nevada, Reno 2012 ITE District 6 Annual Meeting SIGNAL TIMING WITHOUT TRAFFIC COUNTS Zong Z. Tian, Ph.D., P.E.

Signalized Intersection Delay Monitoring for Signal Retiming SafeTrip-21 Safe and Efficient Travel through Innovation and Partnership in the 21 st Century.

RT-TRACS A daptive Control Algorithms VFC-OPAC Farhad Pooran PB Farradyne Inc. TRB A3A18 Mid-Year Meeting and Adaptive Control Workshop July 12-14, 1998.

Applied Transportation Analysis ITS Application SCATS.

Evaluating Robustness of Signal Timings for Conditions of Varying Traffic Flows 2013 Mid-Continent Transportation Research Symposium – August 16, 2013.

Assessment of Urban Transportation Networks by integrating Transportation Planning and Operational Methods /Tools Presentation by: Sabbir Saiyed, P.Eng.

Incident Management in Central Arkansas: Current Settings and Proposed Extensions Weihua Xiao Yupo Chan University of Arkansas at Little Rock.

ADAPTIVE SIGNAL CONTROL TECHNOLOGY MODEL SYSTEMS ENGINEERING DOCUMENTS 1 December 20, 2012.

Coordinated Operations, notes from the field Edward Fok Resource Center Operations Technical Service Team 2005 TRB Annual Meeting.

Jump Starting ITS Deployment in Los Angeles County using Wireless Communications Lessons Learned.

Transit Priority Strategies for Multiple Routes under Headway-based Operations Shandong University, China & University of Maryland at College Park, USA.

Travel Speed Study of Urban Streets Using GPS &GIS Tom E. Sellsted City of Yakima, Washington Information Systems and Traffic.

A Genetic Algorithm Based Microscopic Simulation To Develop The Evacuation Plan For Multi-institutional Centers Fengxiang Qiao, Ph.D., Assistant Professor,

Introduction to Transport

Transit Signal Priority (TSP). Problem: Transit vehicles are slow Problem: Transit vehicles are effected even more than cars by traffic lights –The number.

1 Adaptive Control Software – Lite (ACS-Lite) Eddie Curtis, P.E. FHWA Resource Center / HOTM NTOC Webcast March 27, 2008.

1 Managing Travel For Planned Special Events: The VA Department of Transportation’s Traffic Signal System Approach National Transportation Operations Coalition.

Robust Synchronization of Actuated Signals on Arterials Project # : Simulation-Based Robust Optimization for Actuated Signal Timing and Setting.

LADOTD Statewide Traffic Engineers Meeting June 19, 2014 Traffic Signal Timing Project Update Nick J. Ferlito, Jr., P.E., PTOE Neel-Schaffer, Inc.

 Links the optimized settings to VISSIM, the operational analysis results is: Synchronization of Intersections This study employs the core logic of MAXBAND.

Portland State University 11 By Maisha Mahmud Li Huan Evaluation Of SCATS Adaptive Traffic Signal Control System.

SIGNAL OPTIMIZATION STUDY COMMUNITY DEVELOPMENT DEPARTMENT.

Smart Information for a Sustainable World True Adaptive Signal Control A Comparison of Alternatives Technical Paper # Presentation to the 18 th World.

Rainier Avenue South Pilot Project Update Seattle Bicycle Advisory Board Project Manager Jim Curtin September 2, 2015.

Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.

Accessing and Integrating CV and AV Sensor Data into Traffic Engineering Practice Dr. Jonathan Corey ITITS 2015 December 12, 2015 Chang’an, China.

Mission Street Voyage Advanced Features Test Facility Mission street is a major arterial corridor that was re-timed 10 years prior to our project. Our.

Presented by NTOC Webcast Gary Piotrowicz, PE, PTOE OAKLAND COUNTY SIGNAL OPTIMIZATION PROJECT.

Urban Traffic Management System OPTIMIZATION OF URBAN TRAFFIC CONTROL SYSTEM Riza Atiq Abdullah bin O.K. Rahmat.

Mission Street Project Update Voyage 2070 Advance Operation Systems Using ASTRO Proactive Plan Selection Average and Split Variant operations Prepared.

Thinking Inside the Box

Transportation Research Board 2004 Annual Meeting

Applied Technology and Traffic Analysis Program(ATTAP) MIDCAP & MUID

* Topic 7 Field Operations

Maryland Unconventional Intersection Design Analysis Tool

School of Civil Engineering

Signal Operational Review Performance Monitor *

Presentation transcript:

TRAFFIC SIGNAL OPTIMIZATION: A Coordinated Effort Tom Dancey, P.E. Signal System Engineer City of Springfield CITY OF SPRINGFIELD & MISSOURI DEPARTMENT OF TRANSPORTATION

Springfield Where?  Population: 155,000  Regional Hub for Employment Retail Medical Serving 380,000+  7,000,000 Visitors to the Springfield/Branson Region

West Bypass 25,000 Kansas Expy 32,000 27,000 33,000 28,000 Glenstone 40,000 31,000 34,000 39,000 Kearney 25,000 11,00025,000 Chestnut Expy 31,000 18,00027,00028,000 Sunshine 27,000 Sunshine 29,000 Campbell 37,000 43,000 National 36,000 9,000 21,000 36,000 37,000 35,000 Sunshine 36,00032,000 Battlefield 31,000 32,00025,00020,00029,000 US 60 50,000 US 65 60,000 I-44 45,000

The Need to Coordinate

Combined Signal System  Acquired Common Firmware  Unified Central Software  Adopted Common Controller (170E) and Cabinet Standards  Expanded Shared Communications Infrastructure

Transportation Management Center  City and State Personnel Work Side-by-Side Monitor Traffic/Signal System Incident Response Special Events Traveler Information  Equal Access to Signal System  Equal Access to CCTV Monitoring System  Separate Maintenance but Shared Responsibility for Ongoing Operations

Data Collection  System Detectors (loops and video)  Link Volumes (temporary counters) (collected every 4 years on rotation)  Manual Turning Movement Counts (collected every 4 years on rotation)

Data Collection  Travel Time Runs Travel Time Delay Number of Stops Travel Speed  Identify Problem Areas  Baseline for Evaluation of Signal Operations

Goal: “Maximize two-way progression with the most efficient cycle length to minimize overall delay” Reality: “Do the best you can within the constraints of the laws of physics”

Optimization/Timing Plan Development  Compare Volumes by Location and Day-of-Week  Determine Number of Plans and Time Periods  Determine Coordination Grouping

Optimization/Timing Plan Development  Build Analysis Model (geometric data)  Calibrate Model to Existing Conditions (understand output)  Load Volume Data and Determine Peak Volume

Optimization/Timing Plan Development  Identify Optimal Cycle Length for Each Intersection  Review Coordination Grouping  Agree/Compromise on Common Cycle Length

Optimization/Timing Plan Development  Optimize Splits for Each Intersection Consider Minimums, Pedestrian Clearance, Phase Omits Estimate in Absence of Counts

Optimization/Timing Plan Development  Identify the Master Intersection for Each Plan (Two Highest Priority Corridors)

Optimization/Timing Plan Development  Optimize Two-Way Progression Use Posted or Observed Speeds Use Model Output as a “Start” Phase Order and Offset Adjustments (Not just for Arterial Band) Minimal Splits for Lagging Left Turns Be Mindful of Actuation Control Platoon Speed Clear Queues Ahead of Platoon if Possible

Glenstone Sunshine

Glenstone National Sunshine

Glenstone Chestnut Expy National Sunshine

Kansas ExpyGlenstone Chestnut Expy National Sunshine

Kansas ExpyGlenstone Chestnut Expy National Sunshine Battlefield

Kansas ExpyGlenstone Chestnut Expy Campbell National Sunshine Battlefield

Kansas ExpyGlenstone Kearney Chestnut Expy Campbell National Sunshine Battlefield

West Bypass Kansas ExpyGlenstone Kearney Chestnut Expy Campbell National Sunshine Battlefield

Program the Signal System  Translate into Signal Software  Understand Software Requirements Permissive Period Sync Phases Phase Order Max Limits etc.  Consider Use of Test Controller

“Fine Tune” the Plan  Observe Entire System Corridors Individual Intersections  Utilize CCTV System  Continue Making Adjustments

Evaluate the Plan  Compare New Travel Times to “Before”

Evaluate the Plan  Ratio of Actual Travel Time to Calculated Free-Flow Travel Time

For More Information: Tom Dancey, P.E. Signal System Engineer City of Springfield CITY OF SPRINGFIELD & MISSOURI DEPARTMENT OF TRANSPORTATION Laurel McKean, P.E. Assistant Traffic Operations Engineer Missouri Department of Transportation