Jim Lam, Caliper Corporation Guoxiong Huang, SCAG Mark Bradley, BB&C

Slides:



Advertisements
Similar presentations
THURSTON REGION MULTIMODAL TRAVEL DEMAND FORECASTING MODEL IMPLEMENTATION IN EMME/2 - Presentation at the 15th International EMME/2 Users Group Conference.
Advertisements

Using the Parkride2.mac Macro to Model Park and Ride Demand in the Puget Sound Region 22 nd International Emme Users Conference September 15-16, 2011,
Parsons Brinckerhoff Chicago, Illinois GIS Estimation of Transit Access Parameters for Mode Choice Models GIS in Transit Conference October 16-17, 2013.
Feedback Loops Guy Rousseau Atlanta Regional Commission.
TRAVEL DEMAND FORECASTING FOR THE OLYMPIC GAMES ATHENS 2004 ATTIKO METRO S.A. Anna Anastasaki.
NCHRP Renaissance Planning Group Rich Kuzmyak Chris Sinclair Alex Bell TRB National Transportation Planning Applications Conference May 6, 2013 Columbus,
FOCUS MODEL OVERVIEW CLASS TWO Denver Regional Council of Governments June 30, 2011.
Presented to Transportation Planning Application Conference presented by Feng Liu, John (Jay) Evans, Tom Rossi Cambridge Systematics, Inc. May 8, 2011.
Presented by: Pascal Volet, ing. October 11,2007 Application of Dynameq in Montréal: bridging the gap between regional models and microsimulation Application.
The SoCoMMS Model Paul Read Dan Jones. The Presentation Outline of the Study The Modelling Framework Accessibility Model.
Subarea Model Development – Integration of Travel Demand across Geographical, Temporal and Modeling Frameworks Naveen Juvva AECOM.
Junction Modelling in a Strategic Transport Model Wee Liang Lim Henry Le Land Transport Authority, Singapore.
Lec 8, TD: part 1, ch.5-1&2; C2 H/O: pp : Urban Transportation Planning, Intro. Urban transportation planning process and demand forecasting Short-
Agenda Overview Why TransCAD Challenges/tips Initiatives Applications.
Norman W. Garrick CTUP. Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers.
Planning Applications: A City- wide Microsimulation Model for Virginia Beach Craig Jordan, Old Dominion University Mecit Cetin, Old Dominion University.
Interfacing Regional Model with Statewide Model to Improve Regional Commercial Vehicle Travel Forecasting Bing Mei, P.E. Joe Huegy, AICP Institute for.
GEOG 111/211A Transportation Planning Trip Distribution Additional suggested reading: Chapter 5 of Ortuzar & Willumsen, third edition November 2004.
Amar Sarvepalli. 500 projects in 6-8 weeks Need VMT, VHT and More.
FOCUS MODEL OVERVIEW Denver Regional Council of Governments June 24, 2011.
Challenge 2: Spatial Aggregation Level Multi-tier Modeling in Ohio Attempts to Balance Run Time and Forecast Granularity Gregory Giaimo, PE The Ohio Department.
Source: NHI course on Travel Demand Forecasting (152054A) Session 10 Traffic (Trip) Assignment Trip Generation Trip Distribution Transit Estimation & Mode.
SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco DTA Project: Model Integration Options Greg Erhardt DTA Peer Review Panel Meeting July 25 th,
Calculating Transportation System User Benefits: Interface Challenges between EMME/2 and Summit Principle Author: Jennifer John Senior Transportation Planner.
Act Now: An Incremental Implementation of an Activity-Based Model System in Puget Sound Presented to: 12th TRB National Transportation Planning Applications.
1 The Aggregate Rail Ridership Forecasting Model: Overview Dave Schmitt, AICP Southeast Florida Users Group November 14 th 2008.
DVRPC TMIP Peer Review TIM 2 Model Oct. 29 th, 2014.
Development of the Graphical User Interface and Improvement and Streamlining of NYMTC's Best Practice Model Jim Lam, Andres Rabinowicz, Srini Sundaram,
Utilizing Multi-threading, Parallel Processing, and Memory Management Techniques to Improve Transportation Model Performance Jim Lam Andres Rabinowicz.
Improvements and Innovations in TDF CE 451/551 Source: NHI course on Travel Demand Forecasting (152054A) Chapter 12.
Travel Demand Forecasting: Trip Distribution CE331 Transportation Engineering.
Bangkok September, Economic Integration 2 Bangkok September, 2012.
David B. Roden, Senior Consulting Manager Analysis of Transportation Projects in Northern Virginia TRB Transportation Planning Applications Conference.
Getting to Know Cube.
Incorporating Traffic Operations into Demand Forecasting Model Daniel Ghile, Stephen Gardner 22 nd international EMME Users’ Conference, Portland September.
An ENIF Image Is Worth A Thousand Lines of EMME/2 Output By Steve Hayto, PEng, S5 Services Carlos M Perez, PEng, Delcan Corporation 19 th Annual International.
Exploring Cube Base and Cube Voyager. Exploring Cube Base and Cube Voyager Use Cube Base and Cube Voyager to develop data, run scenarios, and examine.
FDOT Transit Office Modeling Initiatives The Transit Office has undertaken a number of initiatives in collaboration with the Systems Planning Office and.
SHRP2 C10A Final Conclusions & Insights TRB Planning Applications Conference May 5, 2013 Columbus, OH Stephen Lawe, Joe Castiglione & John Gliebe Resource.
Critical Issues in Estimating and Applying Nested Logit Mode Choice Models Ramachandran Balakrishna Srinivasan Sundaram Caliper Corporation 12 th TRB National.
How Does Your Model Measure Up Presented at TRB National Transportation Planning Applications Conference by Phil Shapiro Frank Spielberg VHB May, 2007.
A Dynamic Traffic Simulation Model on Planning Networks Qi Yang Caliper Corporation TRB Planning Application Conference Houston, May 20, 2009.
Presented to MTF Transit Committee presented by David Schmitt, AICP November 20, 2008 FSUTMS Transit Model Application.
TRB Planning Applications May 2009, Houston,TX Changing assignment algorithms: the price of better convergence Michael Florian and Shuguang He INRO.
Methodological Considerations for Integrating Dynamic Traffic Assignment with Activity-Based Models Ramachandran Balakrishna Daniel Morgan Srinivasan Sundaram.
Presentation For Incorporation of Pricing in the Time-of-Day Model “Express Travel Choices Study” for the Southern California Association of Governments.
Jack is currently performing travel demand model forecasting for Florida’s Turnpike. Specifically he works on toll road project forecasting to produce.
May 8, 2009 SERPM65 Subarea Model-Corradino 1 SERPM65 Highway-Only Subarea Modeling Process Southeast Florida FSUTMS Users Group Meeting Ft. Lauderdale,
Semi-Automated Approach to Develop Focus Area Forecasts from a Statewide Model 12th TRB National Transportation Planning Applications Conference May 17-21,
Application of Accelerated User Equilibrium Traffic Assignments Howard Slavin Jonathan Brandon Andres Rabinowicz Srinivasan Sundaram Caliper Corporation.
Urban Planning Group Implementation of a Model of Dynamic Activity- Travel Rescheduling Decisions: An Agent-Based Micro-Simulation Framework Theo Arentze,
Peter Vovsha, Robert Donnelly, Surabhi Gupta pb
Multi-Point Loading in the Pedestrian Trip Assignment
Travel Modelling Group Technical Advisory Committee
Oregon Statewide Integrated Model
Travel Modelling Group
Developing External and Truck Trips for a Regional Travel Model
Validating Trip Distribution using GPS Data
12th TRB National Planning Application Conference Xiaobo Liu, Ph.D.
DEVELOPMENT OF A FLEXIBLE ZONING SYSTEM
Karen Tsang Bureau of Transport Statistics Department of Transport
Jim Henricksen, MnDOT Steve Ruegg, WSP
Modelling Sustainable Urban Transport
Presented to 2017 TRB Planning Applications Conference
Travel Demand Forecasting: Mode Choice
Chrissy Bernardo, Peter Vovsha, Gaurav Vyas (WSP),
After Evans: Working on an Approximation of a Combined Equilibrium Model Based on Precision Assignment May, 2011 TRB Planning Applications Conference,
Network Development and Zone Definition
SCAG Sub-regional Model Development Tool (SMDT)
An Analytical Modeling Tool for Active Transportation Strategy Evaluation Presented by: Jinghua Xu, Ph.D., PE May 16, 2017.
Presentation transcript:

Developing a Sketch Plan Model for the Southern California Association of Governments Jim Lam, Caliper Corporation Guoxiong Huang, SCAG Mark Bradley, BB&C Rich Kuzmyak Hong Kim TRB Applications Conference, May 18, 2009

Outline Goal of the Sketch Plan Model Project Sketch Plan Model Simplifications Zonal Aggregation Models Other Sketch Plan Features Sketch Plan Demo Model Run Times Calibration Results Future Work

Goal of the Sketch Plan Model Project Current Regional Model is 4000+ zones and takes 24 hours to run To create a sketch planning version of the regional travel demand model Tool will be a quick response tool for testing a wide range of policies and projects to assess their benefits for the region. Tool will be simpler to run, much faster in execution, but be sufficiently accurate to identify beneficial projects for further detailed analysis with the full model. Keep model code consistent with Regional Model

Sketch Plan Model Simplifications Aggregate TAZs to a simpler zonal structure Option to “skip” major portions of the model, such as transit Reduce input and output files, and reduce user-controllable model parameters Create a simplified interface Reduce feedback loops and one-loop model run Simplify networks* Mode split simplification* Trip purpose reductions* Vehicle ownership category reductions* * Models considered but ultimately not adopted

Zonal Aggregation Models Zones reduced from 4109 to 302 zones, networks remained the same size Network centroid connectors realign to “Superzones” and networks re-skimmed for 302 zone system Extra models necessary to account for aggregation bias and for trip loss during aggregation (Zonal Allocation and Zonal Aggregation Models)

Example of Network Realignment

Zonal Aggregation Models Zonal Allocation Model to determine best “skim” for aggregated OD pair Random choice model Randomly chosen OD pair from Regional skims for consistency with Regional estimations Problem: Need more than one random chosen pair to reduce variability, which reduces performance Randomness causes variability of results in alternatives analysis Weighted zonal allocation model Superzone centroid location is chosen based on HH and Emp weights

Zonal Aggregation Models Intra-Superzone Trips Model To account for underassignment of trips This Trip Becomes an Intrazonal Trip

Zonal Aggregation Models Intra-Superzone Trips Model Divide OD trips into Inter-Superzone and Intra-Superzone trips from original correspondences Expand Intra-Superzone trips into original TAZ trip matrix using base OD matrices and IPF Separately assign Inter-Superzone trips and Intra-Superzone trips 9

Intra-Superzone Assignment Example Aggregate OD Matrix Intra-Superzone Trip Inter-Superzone Trip Correspondence Table Disaggregate Intra-Superzone Trip

Zonal Aggregation Models Superzone Connector Assignment To better assign Inter-Superzone Trips Should really be this This Trip 11

Other Sketch Plan Features Automatically create Sketch Inputs from Regional Inputs Provide a simple interface Simply define alternative scenarios Simply run and compare multiple scenarios 12

Demo of Sketch Plan Model 13

Model Run Times Regional Model – 24 hours Full Sketch Plan Run – 2 hours One-loop highway-only run – 75 minutes 14

Calibration Results 15

Calibration Results 16

Future Work Explore Random allocation of zones for skimming Add transit-only component Integration with TDM and land use models Additional optimization

Thank You