3/29/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 28: Ramp Metering.

Slides:



Advertisements
Similar presentations
Travel Time Estimation on Arterial Streets By Heng Wang, Transportation Analyst Houston-Galveston Area Council Dr. Antoine G Hobeika, Professor Virginia.
Advertisements

Special Topics: Overlaps By Michael P. Dixon, Ph.D.
T3 Webinar September 2012 Performance Measures Edward J. Smaglik September 18 th, 2012.
ACS-Lite Offset Tuning Algorithm. Collect data from advance detectors on coordinated approaches Develop a Statistical Flow Profile correlated to the phase.
Traffic Flow Characteristics (2). Learning Objectives To differentiate between interrupted and uninterrupted flow facilities To define general and linear.
Transportation Engineering
INTRODUCTION TO TRANSPORT Lecture 3 Introduction to Transport Lecture 4: Traffic Signal.
ECGD 4121 – Transportation Engineering I
2/8/2006Michael Dixon1 CE 578 Highway Traffic Operations AASHTO Grades.
1Chapter 9-4e Chapter 9. Volume Studies & Characteristics Understand that measured volumes may not be true demands if not careful in data collection and.
4/07/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 30: FREQ Output.
Norman W. Garrick Time-Distance Diagrams of Traffic Flow Vehicle 2 u 2 = 30 mph (constant) Vehicle 1 u 1 = 50 mph (constant) Distance Time Fix Point in.
3/22/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 24: Freeway Weaving Section II.
3/3/06Michael Dixon1 CE 578 Highway Traffic Operations Freeways Merge Influence Areas.
2/24/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 12: Auxiliary Lane Sensitivity Analysis and Climbing Lane Warrant.
Chapter 5: Traffic Stream Characteristics
2/27/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 16: Freeways Basic Sections.
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)
3/1/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 17: Freeways Basic Sections Application.
Introduction to Transport
Norman W. Garrick Example of a Shock Wave At a Stop Traffic is flowing normal Flow, q = 500 veh/hr Conc, k = 10 veh/mi T = t 1 sec.
Lec 5: Capacity and LOS (Ch. 2, p.74-88)
Lecture #15 Actuated Signals: Chapter 19. Objectives Understand the benefits of actuated signals Understand the basic parameters Application in a coordinated.
Customized Simulation Modeling Using PARAMICS Application Programming Interface Henry Liu, Lianyu Chu & Will Recker Paramics User Group Meeting February.
3/6/06Michael Dixon1 CE 578 Highway Traffic Operations Freeways Ramps and Ramp Junctions Examples and Special Applications for Merge Areas.
Design Speed and Design Traffic Concepts
3/6/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 21: Freeway Ramps and Ramp Junctions Diverge Areas.
3/17/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 22: Diverge Area Special Cases, Influence Area Speeds, and Freeway Weaving Sections.
CE 578 Highway Traffic Operations Freeway Merge and Diverge Segments.
Customized Simulation Modeling Using PARAMICS Application Programming Interface Henry Liu, Lianyu Chu & Will Recker.
CE 578 Highway Traffic Operations Introduction to Freeway Facilities Analysis.
2/7/2006Michael Dixon1 CE 578 Highway Traffic Operations Lecture 3: Passing maneuvers, sight distance, and zones.
2006 Fall MATH 100 Lecture 81 MATH 100 Lecture 25 Final review Class 25 Final review 1.Function of two or more variables.
Transportation Engineering
Considerations when applying Paramics to Strategic Traffic Models Paramics User Group Meeting October 9 th, 2009 Presented Matthew.
1 Development and Evaluation of Selected Mobility Applications for VII (a.k.a. IntelliDrive) Steven E. Shladover, Sc.D. California PATH Program Institute.
OPTIMIZING RAMP METERING STRATEGIES
Freeway Capacity Analysis
Hcm 2010: work zones.
ROUNDABOUT CHARACTERISTICS TTE DEFINITIONS TRAFFIC CIRCLE: u Any intersection designed around a central island ROUNDABOUT: u A traffic circle with.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Detailed Intersection Modelling Based on Analysis of the Interaction of Conflicting Traffic Movements Edwin Hull, Billy Kwok September 2011.
Ramp Count Estimation Procedures Daniel Jenkins, PE Office of Highway Policy Information October 24, 2012.
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.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Chapter 5: Traffic Stream Characteristics
Introduction to Transport
Traffic Signal Timing Design Part II. Slide 2 What to do?  Distribute volume among lanes to Identify lane utilization Determine need for lane adjustment.
Problem 4: Okeechobee Road Stopped Control Analysis.
Hcm 2010: BASIC CONCEPTS praveen edara, ph.d., p.e., PTOE
Expressway Driving Legacy High School Drivers Education.
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.
Introduction CE331 Transportation Engineering Fall 2013 Dr. Reg Souleyrette.
INTERSECTION MODEL COMPONENTS TTE 6815 K. Courage.
CEE 495/771 – Fall 2008 Topic 9 Ramp Metering Ramp Metering.
1 Bottleneck Identification and Forecasting in Traveler Information Systems Robert L. Bertini, Rafael Fernández-Moctezuma, Huan Li, Jerzy Wieczorek, Portland.
Traffic Flow Characteristics. Dr. Attaullah Shah
Case Study 4 New York State Alternate Route 7 Problem 4
Graphing in Calculator
CE 3500 Transportation Engineering Basic Traffic Flow Concepts
SIMULATION RESULTS.
Transportation Engineering Basic Queuing Theory February 18, 2011
Unsignalized Intersections
Equation Review Given in class 10/4/13.
EDLC(Embedded system Development Life Cycle ).
Equation Review.
Maximum and Minimum Points
Complete Vehicle Systems.
Presentation transcript:

3/29/06Michael Dixon1 CE 578 Highway Traffic Operations Lecture 28: Ramp Metering

3/29/06Michael Dixon2 Objectives Terminology Objectives and types of ramp metering Local ramp metering Coordinated ramp metering

3/29/06Michael Dixon3 Terminology Meter rate Allowable metering rate –MAX = 720 to 900 veh/hr –MIN = 180 to 240 veh/hr Vehicles per cycle (usually posted at meter)

3/29/06Michael Dixon4 Ramp Metering Objectives and Types Local or coordinated Platoon-breakup Gap-acceptance Demand-capacity

3/29/06Michael Dixon5 Local Ramp Metering—Platoon- Breakup

3/29/06Michael Dixon6 Local Ramp Metering—Gap- Acceptance upstream gap detector detected gap vehicle released for gap

3/29/06Michael Dixon7 Local Ramp Metering—Demand- Capacity mainline detector used to determine metering rate detected volume = 4800 vph Design capacity = 5400 vph Metered ramp upstream of potential bottleneck Allowed volume = 600 vph Meter rate of 600 vph or 6.0 seconds per vehicle.

3/29/06Michael Dixon8 Coordinated Ramp Metering— Demand-Capacity General objective function

3/29/06Michael Dixon9 Coordinated Ramp Metering— Demand-Capacity

3/29/06Michael Dixon10 Coordinated Ramp Metering— Demand-Capacity

3/29/06Michael Dixon11 Coordinated Ramp Metering— Demand-Capacity Setting meter rates

3/29/06Michael Dixon12 Coordinated Ramp Metering— Demand-Capacity Choosing the next ramp to meter

3/29/06Michael Dixon13 Coordinated Ramp Metering— Demand-Capacity bottleneck

3/29/06Michael Dixon14 Coordinated Ramp Metering— Demand-Capacity Equation objective Second term Third term

3/29/06Michael Dixon15 Coordinated Ramp Metering— Demand-Capacity