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.

Slides:



Advertisements
Similar presentations
Proactive Traffic Merging Strategies for Sensor-Enabled Cars
Advertisements

DRIVING ON EXPRESSWAYS
Dynamic Traffic Assignment: Integrating Dynameq into Long Range Planning Studies Model City 2011 – Portland, Oregon Richard Walker - Portland Metro Scott.
11October 19, 2011 Comparison of Queue Estimation Models at Traffic Signals Jingcheng Wu October 19, 2011 Presented at the 18th World Congress on ITS.
HEADS UP H urricane E vacuation A nalysis and D ecision S upport U tility P rogram.
Transportation Data Palooza Washington, DC May 9, 2013 Steve Mortensen Federal Transit Administration Data for Integrated Corridor Management (ICM) Analysis,
Step-by-Step Tutorial NEXTA: Simulation Data Visualizer for TRANSIMS
Coordinated Highways Action Response Team -Performance and Benefits- Dr. Gang-Len Chang Department of Civil Engineering University of Maryland February,
Session C2: Promising Research Roundtable An Integrated Work-Zone Computer System For Capacity Estimation, Cost/Benefit Analysis, and Design Of Control.
TSF: Trajectory-based Statistical Forwarding for Infrastructure-to-Vehicle Data Delivery in Vehicular Networks Jaehoon Jeong, Shuo Guo, Yu Gu, Tian He,
Final Exam Tuesday, December 9 2:30 – 4:20 pm 121 Raitt Hall Open book
Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
June 16, 2004 Dr. Robert Bertini Michael Rose Evaluation of the “COMET” Incident Response Program Oregon Department of Transportation.
1 Statistics of Freeway Traffic. 2 Overview The Freeway Performance Measurement System (PeMS) Computer Lab Visualization of Traffic Dynamics Visualization.
Customized Simulation Modeling Using PARAMICS Application Programming Interface Henry Liu, Lianyu Chu & Will Recker Paramics User Group Meeting February.
Optimal Adaptive Signal Control for Diamond Interchanges Using Dynamic Programming Optimal Adaptive Signal Control for Diamond Interchanges Using Dynamic.
Automatic loading of inputs for Real Time Evacuation Scenario Simulations: evaluation using mesoscopic models Josep M. Aymamí 15th TRB National Transportation.
Customized Simulation Modeling Using PARAMICS Application Programming Interface Henry Liu, Lianyu Chu & Will Recker.
Garmin GPS III Plus Data Collection. Objectives Collect: - Waypoints -Average Position Waypoints -Reference Waypoints - Multiple Tracks in One Track Log.
San Antonio TransGuide Travel Time Program Roger L. Strain Research Analyst Southwest Research Institute San Antonio, TX
Regional Traffic Monitoring System for Maryland’s Eastern Shore Dr. Gang-Len Chang Traffic Safety and Operations Lab University of Maryland, College Park.
Evaluating InSync Performance in Microsimulation Aleksandar Stevanovic, PhD, PE Florida Atlantic University Transpo 2012 Bonita Springs, FL October 29,
Applied Transportation Analysis ITS Application SCATS.
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.
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.
Incident Management in Central Arkansas: Current Settings and Proposed Extensions Weihua Xiao Yupo Chan University of Arkansas at Little Rock.
1 A Google-Map-Based Arterial Traffic Information (GATI) System Authors: Yao-Jan Wu Dr. Yinhai Wang Dr. Dalin Qian Date: 10/03/2007.
University of Maryland Department of Civil & Environmental Engineering By G.L. Chang, M.L. Franz, Y. Liu, Y. Lu & R. Tao BACKGROUND SYSTEM DESIGN DATA.
SEMS allows you to create reports based on your files. This guide will give you the steps to create a report on the SEMS site using the Question Wizards.
Transit Priority Strategies for Multiple Routes under Headway-based Operations Shandong University, China & University of Maryland at College Park, USA.
Integration of Transportation System Analyses in Cube Wade L. White, AICP Citilabs Inc.
V ehicle I nfrastructure I ntegration Jeffrey F. Paniati Associate Administrator for Operations and Acting Program Manager for ITS Joint Program Office.
Border Data Warehouse. Vancouver, BC Bellingham, WA The Cascade Gateway.
The Science of Prediction Location Intelligence Conference April 4, 2006 How Next Generation Traffic Services Will Impact Business Dr. Oliver Downs, Chief.
Mike Johnsen, FMCSA, sponsor Doug Lee, Volpe Center, PI Garrett Hagemann, Economist Kent Hymel, Economist Adam Klauber, Environmental Engr George Noel,
TRANSPORTATION ENGINEERING Planes, Trains, Automobiles and More Ardrey Kell High School February 23, 2012.
Prediction of Traffic Density for Congestion Analysis under Indian Traffic Conditions Proceedings of the 12th International IEEE Conference on Intelligent.
THE ISSUE Workshop on Air Quality in Cities M. Petrelli - Roma Tre University February 2014 The evaluation of road traffic emissions.
S. Erdogan 1, K. Patnam 2, X. Zhou 3, F.D. Ducca 4, S. Mahapatra 5, Z. Deng 6, J. Liu 7 1, 4, 6 University of Maryland, National Center for Smart Growth.
Oregon’s Work Zone Traffic Analysis Program FHWA Work Zone Rule Virtual Workshop November 6, 2008 Irene Toews, P.E. Oregon Department of Transportation.
Real-time Bus Arrival Time Prediction: An Application to the Case of Chinese Cities Shandong University, China & University of Maryland at College Park,
SYSTEM-OF-SYSTEMS THAT ACT LOCALLY FOR OPTIMIZING GLOBALLY EU FP7 - SMALL/MEDIUM-SCALE FOCUSED RESEARCH PROJECT (STREP) FP7-ICT : ADVANCED COMPUTING,
DEPARTMENT OF CIVIL & ENVIRONMENTAL ENGINEERING Proactive Optimal Variable Speed Limit Control for Recurrently Congested Freeway Bottlenecks by Xianfeng.
Bernhard Friedrich Hanover, May 2001 Strategic Control in Metropolitan Areas Bernhard Friedrich Institute of Transport Engineering and Planning Hanover.
 Links the optimized settings to VISSIM, the operational analysis results is: Synchronization of Intersections This study employs the core logic of MAXBAND.
1 based on Federal Highway Administration Capability Maturity Model Workshops Transportation Systems Management and Operations (TSM&O) Performance Measurement.
Interactive Highway Safety Design Model (IHSDM) By Josh Hinds.
MIDCAP Maryland Intersection and Interchange Design & Capacity Analysis Program.
Transportation Research Board Planning Applications Conference, May 2007 Given by: Ronald T. Milam, AICP Contributing Analysts: David Stanek, PE Chris.
1 Courses and Research Yinhai Wang October 7, 2009.
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 Initiative ITS JPO Lead: Mike Freitas Technical Lead: John Harding, Office of Transportation Management.
A case–driven comparison of Freeway Performance Measurement Systems by Shailesh Deshpande.
Transpo 2012 Yan Xiao, Mohammed Hadi, Maria Lucia Rojas Lehman Center for Transportation Research Department of Civil and Environmental Engineering Florida.
Archived Data Management System Study Advisory Committee Meeting September 25, 2003.
PERFORMANCE MEASURES DASHBOARD FEASIBILITY STUDY Deliverable VIII - Operations Business Intelligence Phase II Traffic Operations Discussion 09/24/2015.
Design and Evaluation of An Advanced Dilemma Zone Protection System: Advanced Warning Sign and All-Red Extension by Sung Yoon Park, Liu Xu, Gang-Len Chang.
TRAFFIC SAFETY AND OPERATIONS LAB DESIGN OF A DILEMMA ZONE PROTECTION SYSTEM US MD 910C (WESTERN MARYLAND PARKWAY)
AIMSUN Advanced Interactive Microscopic Simulator for Urban and Non-urban Networks Adopted from Clara Fang/ Ondrej Pribyl.
Indiana MUTCD: for Operations & Maintenance Issues/Solutions – Part II.
MD-QuickZone MD-QuickZone A Work Zone Traffic Analysis Tool Jawad Paracha, P.E. Maryland State Highway Administration.
Traffic Simulation L0 – How to use AIMSUN Ing. Ondřej Přibyl, Ph.D.
Non-recurrent Congestion & Potential Solutions
Transportation Systems Management and Operations (TSM&O)
Jim Henricksen, MnDOT Steve Ruegg, WSP
Applied Technology and Traffic Analysis Program(ATTAP) MIDCAP & MUID
Maryland Unconventional Intersection Design Analysis Tool
Predicting Traffic Dmitriy Bespalov.
Problem 5: Network Simulation
Presentation transcript:

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 State Highway Administration

Incident Management Functions Estimating the incident duration and the maximum impact range Predicting the dynamic evolution of queue length Estimation of travel time vs. departure time during the period of incident management Evaluating the effectiveness of detour operations Functions

Incident Management Functions Estimating the incident duration and the maximum impact range Predicting the dynamic evolution of queue length Estimation of travel time vs. departure time during the period of incident management Evaluating the effectiveness of detour operations Functions

Incident Management Functions Estimating the incident duration and the maximum impact range Predicting the dynamic evolution of queue length Estimation of travel time vs. departure time during the period of incident management Evaluating the effectiveness of detour operations Functions

Incident Management Functions Estimating the incident duration and the maximum impact range Predicting the dynamic evolution of queue length Estimation of travel time vs. departure time during the period of incident management Evaluating the effectiveness of detour operations Functions

Incident Management Functions Estimating the incident duration and the maximum impact range Predicting the dynamic evolution of queue length Estimation of travel time vs. departure time during the period of incident management Evaluating the effectiveness of detour operations Functions

Additional functions Changing signal timings Changing the acceleration and deceleration lanes Ramp closure or ramp metering Automatic update of traffic volume from real-time data Functions (cont’d)

Additional functions Changing signal timings Changing the acceleration and deceleration lanes Ramp closure or ramp metering Automatic update of traffic volume from real-time data Functions (cont’d)

Additional functions Changing signal timings Changing the acceleration and deceleration lanes Ramp closure or ramp metering Automatic update of traffic volume from real-time data Functions (cont’d)

Additional functions Changing signal timings Changing the acceleration and deceleration lanes Ramp closure or ramp metering Automatic update of traffic volume from real-time data Functions (cont’d)

Additional functions Changing signal timings Changing the acceleration and deceleration lanes Ramp closure or ramp metering Automatic update of traffic volume from real-time data Functions (cont’d)

Date: August 8 th, 2003 Time: 9:25AM Location: 2500 feet south of Exit 4 Traffic Direction: South Lane Blockage: 2 right lanes closed Example Scenario

Activate the accident module of the system

Use arrow buttons to navigate the covered area Map navigation function

Zoom in the map view

Identify the incident location

Select the traffic direction: South Bound

Next Question

Input the distance from the incident location to Exit 4

Next Question

Click on the road to mark blocked lanes

2 similar cases from the knowledge base Search similar cases at all locations Criteria to search similar cases in the knowledge baseTime information for the current incidentEstimate the incident duration based on the historical data

Search similar cases for Collision, Personal Injury 132 similar cases from the knowledge base

Set the duration of the current incident to 50 minutes 52 similar cases from the knowledge base

Save the duration and continue

Change the duration of the simulation

Next step

This screen shows the summary of the information for the current incident Execute the simulation

New data from detectors are available.

Update volume data

Simulation started!

Display the output chart for selected segment Two types of chart display Four categories of output Display outputs by segment or over time This is the output screen Map-based outputAnimation output Display the bar chart Display the outputs for both I-270 and MD 355 Display the output chart for the selected time period

Set the time period to 9:20 to 10:20

Show the output for MD355

Display the delay over time on MD 355 segment from Shady Grove Rd to Grosvenor Ln

Display the output of average speed

Display the output by segment

Display the output of the average speed by segment for I-270

Display the output for distribution of the queue length

View the segment between Exit 9 and Exit 1

Display the output of the travel time

Display the map-based output

Show speed information

Show speed information on MD 355

Change the speed for green color

View the animation of the simulation

Incident Location

Go back to output screen

Apply incident management strategies

Set the detour plan for the current incident

Input the information for the detour plan

Save input and continue

Change signal timings

Select the intersection

Select to edit the 2nd phase of the signal for this intersection

Change the maximum green time to 90 seconds

Save changes

Exit the signal timing function

Execute the simulation

Comparison of the travel time with and without the detour operation on I-270

Comparison of the travel time on I-270 using detour before and after the detour operation

Comparison of the travel time on I-270 between not choosing detour and choosing detour when the detour operation is applied

Update volumes Check the network balance Close ramps Change the length of auxiliary lane Additional Functions

Activate the function to Update Volumes

Select the intersection

Change the volumes

Check the network balance

Network is balanced now.

Activate the Management Functions

Manage the ramp

Close the ramp

Change the length of the auxiliary lane

Save and go back

Red circle: this ramp has been closed

Exit Management Functions

Future Research Areas Integrate the system with an optimization module that can assist engineers in selecting the most effective control plan Support more than one simulation server so as to save execution time Develop the web-based interface

Future Research Areas Integrate the system with an optimization module that can assist engineers in selecting the most effective control plan Support more than one simulation server so as to save execution time Develop the web-based interface

Future Research Areas Integrate the system with an optimization module that can assist engineers in selecting the most effective control plan Support more than one simulation server so as to save execution time Develop the web-based interface

Future Research Areas Integrate the system with an optimization module that can assist engineers in selecting the most effective control plan Support more than one simulation server so as to save execution time Develop the web-based interface

End of Presentation Thank you!