ATM in California ITS Virginia June 5, 2014 Presented By

Slides:



Advertisements
Similar presentations
Los Angeles County Metropolitan Transportation Authority Simulating I-710 Corridor Presented in the Western ITE Annual Meeting Santa Barbara, California.
Advertisements

I-80 Corridor System Management Plan Alameda County Transportation Commission ACTAC Meeting September 7, 2010.
DynusT (Dynamic Urban Systems in Transportation)
Interchange Design Nick Hoernke, Bill Roth and Eric Sorensen.
Transportation Data Palooza Washington, DC May 9, 2013 Steve Mortensen Federal Transit Administration Data for Integrated Corridor Management (ICM) Analysis,
Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
TRANSPORT MODELLING Lecture 4 TRANSPORT MODELLING Lecture 4 26-Sep-08 Transport Modelling Microsimulation Software.
TRB Lianyu Chu *, K S Nesamani +, Hamed Benouar* Priority Based High Occupancy Vehicle Lanes Operation * California Center for Innovative Transportation.
Evaluation and Application of Active Traffic and Demand Management (ATDM) Strategies, including Managed Lanes for Urban Corridors in Ohio Naveen Juvva.
Evaluation of Potential ITS Strategies under Non-recurrent Congestion Using Microscopic Simulation Lianyu Chu, University of California, Irvine Henry Liu,
ICM San Antonio – IH-10 Corridor Brian Fariello, TxDOT.
Can Multi-Resolution Dynamic Traffic Assignment live up to the Expectation of Reliable Analysis of Incident Management Strategies Lili (Leo) Luo, P.E.,
Less Stop More Go EXPRESS LANES Travel Choices and Strategies to Relieve Congestion Presentation to FDOT’s Annual ITS Working Group Meeting March 2008.
Intersection & Interchange Geometrics (IIG) Innovative Design Considerations for All Users Module 8 Intersection- Interchange Evaluation Process.
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.
Integrated Corridor Management (ICM)
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.
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.
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.
The Potential of Transportation Technology New Uses for Technology in Transportation Mike Miles, Deputy Director for Maintenance and Operations Program.
July 29, 2009 George Saylor, PE ODOT Senior ITS Engineer.
A Model for Improving Operations through Archived Data 2005 ITS America Annual Meeting Mark Carter – SAIC Robert Haas - SAIC May 2 nd, 2005 i Florida’s.
California Department of Transportation Transportation Management Systems (TMS) and their role in addressing congestion Discussion Materials Lake Arrowhead.
Dallas ICM Pioneer Site Stage 1 Lessons Learned Webinar July 24, 2008.
Regional Priority Bus Transit Conference June 24, 2009.
Strategic Highway Research Program 2 Project L07 Identification and Evaluation of the Cost- Effectiveness of Highway Design Features to Reduce Nonrecurrent.
Bharath Paladugu TRPC Clyde Scott Independent Consultant
1 Using Intelligent Transportation Systems (ITS) Technologies and Strategies to Better Manage Congestion Jeffrey F. Paniati Associate Administrator of.
Weighing the Scenarios: The Costs and Benefits of Future Transit Service Produced for MTDB by The Mission Group © 2000 by The Mission Group. 1 Dave Schumacher.
1 based on Federal Highway Administration Capability Maturity Model Workshops Transportation Systems Management and Operations (TSM&O) Performance Measurement.
Corridor Congestion Management Innovation for better mobility sm.
Virginia Department of Education
Traveler Information Applications: How Can VII Improve the Quality of Travel? TRB Session 644: Using VII Data, Part 1 Ben McKeever, US DOT, ITS Joint Program.
Performance Evaluation of Adaptive Ramp Metering Algorithms in PARAMICS Simulation Lianyu Chu, Henry X. Liu, Will Recker California PATH, UC Irvine H.
Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.
Integrated Corridor Management (ICM) Brian P. Cronin, P.E.
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.
Corridor Management Planning in California Jeff X. Ban CCIT, UC-Berkeley Rensselaer Polytechnic Institute (RPI)
Intelligent and Non-Intelligent Transportation Systems 32 Foundations of Technology Standard 18 Students will develop an understanding of and be able to.
TMCs – The Next Generation ITS Tennessee Annual Meeting / October 8, 2009 Dr. Robert Edelstein, PE, PTOE.
Brian Kary Freeway Operations Engineer. Active Traffic Management.
SYSTEM MANAGEMENT PERFORMANCE MEASURES, RANKING AND PRIORITIZATION CORRIDOR MANAGEMENT PLANS INCORPORATION INTO STIP & TIP STRATEGY IMPLEMENTATION MONITOR.
ITS Virginia Annual Conference April 20, 2012 Sensys Networks and the Sensys Networks logo are trademarks of Sensys Networks, Inc. Other product and company.
METRO Dynamic Traffic Assignment in Action COST Presentation ODOT Region 4 April 1,
EasyWay - conclusion.
I-84 Baker Valley Variable Speed Limit System
Intelligent Transportation System
Integrating Transit and Highway Solutions In High Volume Corridors
Charlotte Region Fast Lanes Study
S.R. 44 Corridor Management Plan S.R. 44 Corridor Management Plan
Project Overview – Phase 1
Local Government Roundtable Session Arlington, Virginia
MOVA Traffic Signal Control Trial
Corridors Safety and Efficiency: Using Active Traffic Management to Achieve Congestion and Safety Benefits The purpose of our discussion here is to provide.
NGTA Halton Planning and Public Works Committee
Nick Wood, P.E. Texas A&M Transportation Institute
Transportation Systems Management and Operations (TSM&O)
Jim Henricksen, MnDOT Steve Ruegg, WSP
SIMULATION RESULTS.
Connected Vehicle Activities at MnDOT
Using iPeMS Performance Management Data
NEVADA TRANSPORTATION CONFERENCE March , 2011 Reno, Nevada
Bus Rapid Transit Study
MODULE 2: TSMO Strategies
MODULE 2: TSMO Strategies
Broward County Congestion Assessment
Module 2: TSMO Strategies
Transit in TSMO: Bus On Shoulder
Presentation transcript:

ATM in California ITS Virginia June 5, 2014 Presented By Dan Lukasik, P.E. Parsons

ATM History in California SR-14 Part-time HOV SR-118 Part-time use of shoulder as HOV lane Freeway to Freeway connector metering Adaptive Traffic Signal Control System Wide Adaptive Ramp Metering (SWARM) In Los Angeles Dynamic Lane Management Project at I-110/5 Interchange (Junction Control)

Current ATM Projects Integrated Corridor Management I-880 Corridor SR101 Corridor San Diego ICMS I-210 (Connected Corridors) South Bay Dynamic Corridor Congestion Management (DCCM) I-80 ICM Corridor I-105 ATM Feasibility Study

I-80 ICM Project Overview

The Problem Over 20,000 vehicle-hours of delay per day Inconsistent level of service (C to F) Variable speeds (stop & go to 65 mph) High incident rates: over 2,000 incidents annually Un-reliability of travel (20 to>60 min)

The Solution Create a Well Balance System Maintain Optimal Operational Viability Proactively Avoid Flow Breakdown Detect and Respond to Congestion Events Faster Improve Safety Manage Congested Flow When it Does Occur Promote Transit Ridership and Mode Shifts Clear Local Arterials from Diversion

System Implementation unfunded $8.0M Total Project Cost: $79.1M

I-80 ATM Strategies 4 3 1 Lane Management System 2 Queue Warning Adaptive Ramp Metering 2 Queue Warning 3 Variable Speed Assignment Signs (VASS)

I-80 ATM Strategies Other ICM Strategies Active Traffic Management Dynamic Lane Management Variable Speed Advisory Signs Active Rerouting (Trailblazers) Real-time Signal Adjustments (flushing) Adaptive Ramp Metering Active Traffic Management Transit Signal Priority Mode/Route Shift Choice Advisories 511 Information Dissemination Expanded Traffic Signal Coordination Other ICM Strategies

Key I-80 ICM Strategies Adaptive Ramp Metering Fuzzy Logic Algorithm Active Traffic Management Queue Warning Variable Advisory Speed Incident Management Lane Management Response Plans Arterial Management Arterial Trailblazer Signs Signal Timing Flush Plans

Algorithms Adaptive Ramp Metering Variable Speed Advisory Signs SWARM HERO/ALINIEA Stratified Zone Fuzzy Logic Variable Speed Advisory Signs The VASS algorithm will use speed smoothing in its algorithm The VASS speed smoothing algorithm will be based on an 85th percentile speed calculation The speed smoothing algorithm will be automatic with operator monitoring and override features.

System Integration Integration of various agency subsystems working together Arterial Freeway Transit Emergency Responders Incident Response LUS VASS

District 7 ATM Feasibility Study Conduct literature review Screen and evaluate suitable freeway corridors and ATM strategies Develop and calibrate analysis tools Use tools to evaluate the corridor-wide impacts and benefits of ATM strategies Develop implementation plan for ATM strategies in the selected ATM corridor

Task 2: Literature Review Objective Synthesize National and international experience with ATM strategies Potential Benefits (Empirical observations of impacts) Deployment Considerations (Factors contributing to or diluting success of deployment) Supplement with State and local findings wherever available Supports the identification of likely range of impacts to be carried forward into Task 4

Task 2: Literature Review

Task 3 - ATM Corridor Assessment - Overview Evaluation Criterion Assessment Rating I-210 (A) 12mi SR-134 to I-605 I-210 (B) 15mi I-605 to Padua Ave I-710 21mi Long Beach to Alhambra I-105 17mi Sepulveda Blvd to I-605 I-405 south 13mi I-605 to I-110 I-405 mid 8mi I-110 to I-105 I-405 north 18mi I-105 to US-101 I-5 10mi I-605 to SR-60 Congestion and Safety Peak period congestion levels High Very High Oversaturated Accident rate Moderate Congestion variability Characteristics Truck traffic Diversion potential Very Good Good Poor Shoulders available? HOV/Managed lanes available? Ramp/arterial storage Excellent ITS Infrastructure Highway detection/surveillance Arterial detection/surveillance None Ramp metering Traveler information dissemination Institutional Coordination Agency coordination required Low Availability of ATM Champion Unknown Torrance unsupportive? LA or Inglewood? Available Analysis Tools Mesoscopic Simulation No AIMSUN-soon Microscopic Simulation VISSIM Paramics AIMSUN-soon? Overall Potential Opportunity 

ATM Assessment Framework Deficiency Mapping

ATM Assessment Framework Detail Sheets

Task 5 - Evaluation of ATM Corridor/Location Performance measures Analysis scenarios With/without optimal ATM combination Assemble data Develop/modify analysis tool Evaluate impacts of ATM and estimate benefit-cost Develop scope for ATM project (concept level design, capital costs, signing, operating plans) Develop implementation plan (outreach & education, partnerships, marketing Develop O&M plan (costs & risks)

Queue Warning Example: I-105 EB approaching I-110 Interchange Roadway curvature & frequent speed drops due to I-110 Interchange ahead make this a good location for queue warning STOPPED TRAFFIC AHEAD SPEED LIMIT 35 X SPEED LIMIT 35 Corridor-wide queue warning CMS spaced approx. every ½ to 1 mile

Dynamic Lane Management: I-105 EB approaching I-110 Interchange Roadway curvature and frequent speed drops due to I-110 Interchange ahead make this a good location for queue warning STOPPED TRAFFIC AHEAD SPEED LIMIT 35 X SPEED LIMIT 35 Corridor-wide dynamic lane management approx. every ½ to 1 mile

Hard Shoulder Running Example: I-105 WB approaching Long Beach Blvd Video incident detection to verify shoulder unobstructed USE HARD SHOULDER SPEED LIMIT 45 SPEED LIMIT 45 Corridor-wide lane control gantries spaced approx. every 1 mile

Active Routing Example Incident & Diversion Routing Msg (Type 1 – DMS) Adjust Ramp Metering Rates Primary Route Alternate Route Adjust Signal Timing Plans Diversion Routing Msg (Type 2 – DMS) HAR Messaging (Incident & Alt. Routing) DELCAN PROPRIETARY

Variable Speed Limit Example: I-105 EB Approaching I-110 Interchange Speed harmonization via VSL can be congestion-, incident-, and weather-responsive STOPPED TRAFFIC AHEAD SPEED LIMIT 35 SPEED LIMIT 35 Corridor-wide variable speed limit signs spaced approx. every ½ to 1 mile

Dynamic Junction Control Example: I-105 EB / I-710 Interchange “Smart Studs“/ Channelizers Demand responsive lane management for key interchange and ramp bottleneck locations

Predictive Traveler Information Ex: I-105 WB Approaching Long Beach Blvd Predictive traveler information, generated from historical data and real-time modeling, can be displayed on CMS signs in advance of major decision points (e.g., junctions, transit stops). It can also feed into multimodal DSS. DOWNTOWN 55 LAX 30 GREEN LINE LAX 25

Active Parking Management Example: Norwalk Green Line Station Active parking management can provide travelers real-time parking availability information at the facility or on a mobile application. Parking availability can also be integrated into multimodal decision support systems. SPACE AVAIL.  EAST LOT FULL  WEST LOT 250

Dynamic HOV Example: I-105 WB Approaching Long Beach Blvd Dynamic HOV can be used to increase occupancy requirements (e.g., from 2 to 3+) in response to congestion in lane or to open the lane to all vehicles in response to roadway incidents blocking GP lanes COLLISION AHEAD HOV LANE OPEN TO ALL VEHICLES COLLISION AHEAD HOV LANE OPEN TO ALL VEHICLES SPEED LIMIT 45 X X SPEED LIMIT 45 Corridor-wide dynamic HOV CMS at each HOV lane entrance location

Thank You! Dan Lukasik daniel.lukasik@parsons.com 714-562-5725