Submitted by: Javaneh Noorparvar Civil Engineering, Cal Poly Pomona.

Slides:



Advertisements
Similar presentations
Signing Plan Design - At Grade Intersections TEM Chapter Application Guidelines - Regulatory Signs.
Advertisements

Beltline Highway ITS – Ramp Metering Project ODOT Planners Meeting April 25, 2012.
VARIABLE SPEED LIMIT DEPLOYMENT EVALUATION I-270/I-255 Traffic and Safety Conference May 12, 2010 Missouri University of Science and Technology and HDR.
TRANSPORTATION TUESDAY
Data Collection Methods BluFax: vehicle identification using bluetooth MAC addresses – provides corridor traffic patterns (origin-destination data) and.
GDOT’s Metro Atlanta Ramp Meters
Line Balancing Problem A B C 4.1mins D 1.7mins E 2.7 mins F 3.3 mins G 2.6 mins 2.2 mins 3.4 mins.
Capacity, Level of Service, Intersection Design (1)
Analysis, Characterization and Visualization of Freeway Traffic Data in Los Angeles Alain L. Kornhauser Professor, Operations Research & Financial Engineering.
Waheed Uddin, PhD., P.E. Professor and Director, CAIT Center for Advanced Infrastructure Technology Department of Civil Engineering The University of Mississippi.
By: Pranav Koshiya Committee Member Huaguo Zhou, PhD 1 CE 491 dacq/idotmapdistrict.gif.
Real-time Estimation of Accident Likelihood for Safety Enhancement Jun Oh, Ph.D., PE, PTOE Western Michigan University March 14, 2007.
Neveen Shlayan PhD Student Transportation Research Center University of Nevada, Las Vegas.
Vehicle Flow.
Freight Traveler Information Clearinghouse Mississippi Valley Freight Coalition -Ravi Pavuluri.
You Are the Traffic Jam: Examination of Congestion Measures
Final Exam Tuesday, December 9 2:30 – 4:20 pm 121 Raitt Hall Open book
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.
CEE 320 Fall 2008 Course Logistics HW3 and HW4 returned Midterms returned Wednesday HW5 assigned today, due next Monday Project 1 due Friday.
Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
Archived Data User Services (ADUS). ITS Produce Data The (sensor) data are used for to help take transportation management actions –Traffic control systems.
June 16, 2004 Dr. Robert Bertini Michael Rose Evaluation of the “COMET” Incident Response Program Oregon Department of Transportation.
Lec 9, Ch4, pp : Travel time and delay studies
1 Statistics of Freeway Traffic. 2 Overview The Freeway Performance Measurement System (PeMS) Computer Lab Visualization of Traffic Dynamics Visualization.
9/23/2009Michael Dixon1 CE 578 Highway Traffic Operations Crawl Regions and Specific Grades HCM 2000.
CEE 320 Fall 2008 Course Logistics Course grading scheme correct Team assignments posted HW 1 posted Note-taker needed Website and Transportation wiki.
Department of Computer Engineering Koc University, Istanbul, Turkey
Norman W. Garrick Traffic Stream Flow Equations. Norman W. Garrick Basic Stream Flow Parameters Three types of parameters 1.Spacing and Concentration.
Month XX, 2004 Dr. Robert Bertini Using Archived Data to Measure Operational Benefits of ITS Investments: Ramp Meters Oregon Department of Transportation.
CE 578 Highway Traffic Operations Introduction to Freeway Facilities Analysis.
Traffic Incident Management – a Strategic Focus Inspector Peter Baird National Adviser: Policy and Legislation: Road Policing.
Regional Traffic Monitoring System for Maryland’s Eastern Shore Dr. Gang-Len Chang Traffic Safety and Operations Lab University of Maryland, College Park.
Aaron B Wilson, EIT WesTech Engineering, Inc., SLC, UT Mitsuru Saito, PhD, PE Brigham Young University, Provo, UT ITE Western District Annual Meeting Santa.
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.
USING PeMS DATA TO EMPIRICALLY DIAGNOSE FREEWAY BOTTLENECK LOCATIONS IN ORANGE COUNTY, CALIFORNIA Robert L. Bertini Portland State University Aaron M.
Transportation leadership you can trust. presented to Talking Freight Seminar presented by Richard Margiotta Cambridge Systematics, Inc. September 21,
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.
Benefit-Cost Analysis of the SMART SunGuide Operations in Fort Lauderdale, Florida June 2006 Steve Corbin District ITS Operations Manager FDOT District.
Travel Speed Study of Urban Streets Using GPS &GIS Tom E. Sellsted City of Yakima, Washington Information Systems and Traffic.
Congestion Causes and Solutions. Traffic Congestion Characteristics Slower speeds Longer trip time Increased queues More vehicles.
TRANSPORTATION ENGINEERING Planes, Trains, Automobiles and More Ardrey Kell High School February 23, 2012.
California Department of Transportation Transportation Management Systems (TMS) and their role in addressing congestion Discussion Materials Lake Arrowhead.
Traffic Engineering Studies (Travel Time & Delay Studies)
© Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential. Mahalia.
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.
Praveen Pasumarthy, P.E., PTOE, CDM Smith Chris Edmonston, AICP, FDOT Paul Fang, FDOT INNOVATIVE METHODOLOGY TO IDENTIFY CONGESTED ROADWAYS AND BOTTLENECKS.
ITS Lab Members  1 st year M.S. Student in Civil Engineering  Areas of Interest  Traffic Flow Theory  Intelligent Transportation Systems  Possible.
1 Clarifying Sensor Anomalies using Social Network feeds * University of Illinois at Urbana Champaign + U.S. Army Research Lab ++ IBM Research, USA Prasanna.
THE EL MONTE HOV / BUSWAY: A Policy Driven Experiment in Congestion Management Frank Quon Division of Operations Deputy District Director HOV LANES IN.
Fundamental Principles of Traffic Flow
1 Using Archived ITS Data to Automatically Identify Freeway Bottlenecks in Portland, Oregon Robert L. Bertini, Rafael J. Fernández-Moctezuma, Jerzy Wieczorek,
Abstract Background Methodology Methods While the project is in the data-collection and background research phase, there are several studies that utilize.
Hcm 2010: BASIC CONCEPTS praveen edara, ph.d., p.e., PTOE
(is it necessary?) By: Tim Torrini per. two Ramp meters are the “stop and go signals located at the entrance ramps of freeways to regulate the amount.
Transportation Research Board Planning Applications Conference, May 2007 Given by: Ronald T. Milam, AICP Contributing Analysts: David Stanek, PE Chris.
Using Archived Data to Measure Operational Benefits of a System-wide Adaptive Ramp Metering (SWARM) System Data Collection Plan / Experimental Design May.
Archived Data Management System in Kentucky Mei Chen, Ph.D. Dept of Civil Engineering University of Kentucky November 7, 2003.
I-270/MD 355 Simulator: An Intelligent Online Traffic Management System Dr. Gang-Len Chang Nan Zou Xiaorong Lai University of Maryland Saed Rahwanji Maryland.
A case–driven comparison of Freeway Performance Measurement Systems by Shailesh Deshpande.
Chapter 9 Capacity and Level of Service for Highway Segments
Guidance Tool for Implementation of Traffic Incident Management Performance Measures (NCHRP 07-20) December 16, 2014 Brian Hoeft Freeway and Arterial System.
Noah likes ramp meters And you should too Introducing Ramp Meters Ramp metering - the process of facilitating traffic flow on freeways by regulating.
ABJ60 – Spatial Data and Information Science – Operations and Congestion Operations and Congestion.
1 Near-field NO 2 Impacts due to PM Traps for Diesel Engines Tony Servin, P.E. Atmospheric Modeling and Support Section Planning and Technical Support.
Safer Work Zones Through ITS Interim Traffic Management System Florida Department of Transportation Tahira Faquir.
TRANSPORTATION SYSTEMS MANAGEMENT AND OPERATIONS Program Plan Development Roundtable December 13, 2016.
Congestion problems Accidents during congestion.
INCIDENT ANALYSIS USING PROBE DATA
Presentation transcript:

Submitted by: Javaneh Noorparvar Civil Engineering, Cal Poly Pomona

 General Background  Rubbernecking  Objective  Area of Study  Data Analysis  Mechanical System Part 1 Part 2  Triangle Theory  Results  Questions

 Los Angeles ranks highest in total and per-capita congestion delays every year.  60% of all traffic congestion is due to incidents.  Accidents (vehicle to vehicle or vehicle to object)

 What is it? Rubbernecking is when drivers on the opposing side of an incident are curious and distracted by the incident, therefore slowing down.  Leads to congestion and/or accidents

 This study concentrates on creating a mechanical system that identifies bottlenecks due to rubbernecking and evaluates the impacts they have on speed reduction.

 Interstate 5  Interstate 10  Highway 101  Interstate 210  Interstate 405  Interstate 605

 PeMS (  Historical Real-Time Traffic Data Timestamp, station, District, Freeway #, Direction of Travel, Total Flow, Average Speed… ext.  Incident Data

 Microsoft Visual Studio  Identifies Bottlenecks Caused by rubbernecking.  Part One Locates the opposing side of traffic and collects it’s real time traffic data.  Part Two Analyzes the data and determines where bottlenecking had a major effect on the traffic speed.

 Two databases were created  One has four tables Freeways Table Stations Table Speed date Table Incidents Table  Five-Minute data

 Find possible accident station  Find possible accident start time  Search for occurrences of bottleneck

 Parameters: Start Date: January 2, 2011 End Date: December 30, 2011 Minimum Duration: 30 minutes Maximum Duration: 600 minutes Days: Monday through Friday Length Before incident: 2 miles Length After incident: 2 miles

 David M. Freese