Presentation is loading. Please wait.

Presentation is loading. Please wait.

SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Background SFCTA DTA Model Peer Review Panel Meeting July.

Published byPatricia Ramsey Modified over 9 years ago

Similar presentations

Presentation on theme: "SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Background SFCTA DTA Model Peer Review Panel Meeting July."— Presentation transcript:

1 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Background SFCTA DTA Model Peer Review Panel Meeting July 25 th, 2012

2 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY2 Outline Project Background Modeling tool suite SF-CHAMP 4.3.0 Fury Previous DTA work

3 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY3 SF-CHAMP Simulates the travel pattern of every Bay Area Resident based on: Demographics Land use Transportation Network

4 SF-CHAMP Model Basics4 SF-CHAMP HOME WORK INTERMEDIATE STOP ON WAY TO WORK WORK-BASED DESTINATION HOME-BASED TOUR DESTINATION 1 7 6 5 4 3 2 = Tour = Trip Number indicates trip order PRIMARY TOUR: Home-based Work WORK-BASED SUB-TOUR SECONDARY HOME-BASED TOUR Primary destinations vs. Intermediate stops Consequences of choices: Do you have a car available? Did you leave the car at home? Do you have a complicated day? A tour is an entire chain of trips: from your primary origin, to all of your destinations, and then back again.

5 SF-CHAMP Data Most models BATS 1996 New estimations (BATS 2000): Mode choice Auto Availability New calibration (ACS) Workplace Location Choice Auto Availability Tour mode choice New validation 2010 APCs and Ridership Recent Traffic Counts SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY5

6 SF-CHAMP Model Basics6 CHAMP SEQUENCING – PART 1 Workplace location Vehicle Availability:  Accessibility of home  Accessibility of work  Accessibility between home and work Tours Generated  Accessibility of home  Accessibility of work  Accessibility between home and work Initially Schedule Tours Primary destinations for non-work tours  Initial tour schedule  Accessibility

7 SF-CHAMP Model Basics7 CHAMP SEQUENCING – PART 2 Tour scheduling  Accessibility by time of day for chosen destination Tour mode  Accessibility to destinations for that time of day by mode Choose intermediate stops along tours (tours become trips) Trip mode choice  Cost  Travel Time Assign trips by mode to specific transit lines and highway paths  Cost  Travel Time

8 SF-CHAMP – in Flow Chart Form SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY8

9 SF-CHAMP Model Basics9 Trips are aggregated into “zones” 981 zones in San Francisco 1,275 in other Bay Area counties Spatial Detail – Analysis Zones

10 SF-CHAMP Model Basics10 Spatial Detail - Transit Every transit stop Every transit line Every street

11 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY11 SF-CHAMP – Roadway validation

12 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY12

13 SF-CHAMP – Roadway validation SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY13

14 SF-CHAMP – Roadway validation SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY14 Time of Day Area TypeEAAMMDPMEV24HR 0/1/21.3300.9691.0411.0351.0091.030 31.2891.0511.1691.0501.1631.128 4/51.2811.1041.2351.0841.2891.191 All Locations1.3031.0351.1351.0541.1241.105 Time of Day Volume ClassificationEAAMMDPMEV24HR <40k1.3851.0851.1781.0841.1201.135 40-80k1.3091.0921.2001.0151.1811.140 >=80k1.2880.9821.0791.0821.0881.073 All Locations1.3031.0351.1351.0541.1241.105 Time of Day Volume ClassificationEAAMMDPMEV24HR <40k0.2180.0900.1160.0770.1430.107 40-80k0.0970.0500.0670.0450.0830.057 >=80k0.1290.0480.0470.0690.0670.050 All Locations0.0800.0320.0360.0370.0470.035 Estimated/Observed %RMSE

15 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY15 SF-CHAMP – Transit validation

16 An additional tool in the toolbox - DTA SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY16 SF-CHAMP Dynamic Traffic Assignment Traffic Microsimulation Time-dependent user equilibrium with realistic, but simplified vehicle simulation Regional static user equilibrium activity-based model Highly realistic simulation of vehicle behavior and interactions

17 Northwest quadrant DTA network SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY17 200 Internal Zones 60 External Zones 3,000 Nodes 7,000 Links 240 Signals 83 Transit Lines

18 How have we used DTA? Presidio Parkway Construction Where do vehicles re-route when intra-SF ramps are taken away on Doyle Drive? SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY18

19 How have we used DTA? Geary Bus Rapid Transit Where do vehicles re-route when we take a lane away from Geary? How do diversions affect other streets? SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY19

20 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY20

21 Geary BRT DTA – Diversions (draft) SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY21

22 Issues that arose from current DTA use DTA represents ideal world network LOS knowledge Drastic shifts away from main-line roadways when their capacity reduced Hides potential congestion on Geary Subarea reliant on demand from external stations Validation of individual turn movements important “Surgical Adjustments” still required Reliant on centroid-connector placement Conflicting validation data SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY22

23 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Model Development Process SFCTA DTA Model Peer Review Panel Meeting July 25 th, 2012

24 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY24 Outline - Model Development Process Objectives for now versus the future Overall Approach DTA Package Selection Project Tasks and Schedule

25 DTA Model Development Objectives (for now) Have a working DTA model with results that make sense for the PM Peak period in San Francisco Have seamless process from SF-CHAMP to DTA results: Little human intervention Reduce human error Use SF-CHAMP demand directly Behaviorally consistent Allow SF-CHAMP to take advantage of all fixes Test having SF-CHAMP use DTA as it’s network model SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY25

26 Left for “the Future” Rigorous validation for specific subareas Reconfiguring centroid loadings to be at parking Trip chaining and tours Loading miiples from SF-CHAMP with their individual characteristics Influence of non-motorized travel on traffic flow 24 hour model; bigger subarea? Assigning people to transit trips The future is now (FAST-TrIPs) SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY26

27 DTA Model Development Approach Write code when possible for repeated human tasks : Data format conversion Network manipulation and validation for DTA Output validation and visualization Develop in an open source environment Don’t re-write code that exists in our DTA package Make a counts database that interacts with our network (CountDracula) SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY27

28 DTA Model Development Approach Use as much ‘real’ data as possible Signal timings Stop signs Transit Traffic flow parameters Fix all issues “at the source” if possible Network geometry Turn prohibitions Demand (SF-CHAMP) SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY28

29 DTA Package Selection Evaluated alternatives that we knew about Selected Dynameq because: Mature UI Developer responsive with development pathway Detailed network representation: Lane-based delay Transit vehicles and schedules explicit Was able to run Results made sense when we tested it SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY29

30 SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 30 Tasks and Schedule Project Management Model Development Tools Development Application/Integration Evaluation/Reporting 2011 2012 A S O N D J F M A M J J A S O Demand Preparation Network Preparation Data Preparation Model Calibration Network Conversion Demand Conversion Signal Conversion Transit Conversion Summary Integration Memo Applications Peer Review Webinar

Download ppt "SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco’s Dynamic Traffic Assignment Model Background SFCTA DTA Model Peer Review Panel Meeting July."

Similar presentations

A PERSPECTIVE ON APPLICATION OF A PAIR OF PLANNING AND MICRO SIMULATION MODELS: EXPERIENCE FROM I-405 CORRIDOR STUDY PROGRAM Murli K. Adury Youssef Dehghani.

A PERSPECTIVE ON APPLICATION OF A PAIR OF PLANNING AND MICRO SIMULATION MODELS: EXPERIENCE FROM I-405 CORRIDOR STUDY PROGRAM Murli K. Adury Youssef Dehghani.
Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution Emissions TRPC – Smart Corridors Project Chris Breiland Fehr.

Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution Emissions TRPC – Smart Corridors Project Chris Breiland Fehr.
Breaking the Static Barrier: Building Regional Support for Implementation of Dynamic Traffic Assignment in Long-Range Planning Processes TRB Planning Applications.

Breaking the Static Barrier: Building Regional Support for Implementation of Dynamic Traffic Assignment in Long-Range Planning Processes TRB Planning Applications.
Dynamic Traffic Assignment: Integrating Dynameq into Long Range Planning Studies Model City 2011 – Portland, Oregon Richard Walker - Portland Metro Scott.

Dynamic Traffic Assignment: Integrating Dynameq into Long Range Planning Studies Model City 2011 – Portland, Oregon Richard Walker - Portland Metro Scott.
GREATER NEW YORK A GREENER Travel Demand Modeling for analysis of Congestion Mitigation policies October 24, 2007.

GREATER NEW YORK A GREENER Travel Demand Modeling for analysis of Congestion Mitigation policies October 24, 2007.
FOCUS MODEL OVERVIEW CLASS TWO Denver Regional Council of Governments June 30, 2011.

FOCUS MODEL OVERVIEW CLASS TWO Denver Regional Council of Governments June 30, 2011.
SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco DTA Model: Working Model Calibration Part 2: Results Renee Alsup DTA Peer Review Panel Meeting.

SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY San Francisco DTA Model: Working Model Calibration Part 2: Results Renee Alsup DTA Peer Review Panel Meeting.
12th TRB National Transportation Planning Applications Conference

12th TRB National Transportation Planning Applications Conference
Presented by: Pascal Volet, ing. October 11,2007 Application of Dynameq in Montréal: bridging the gap between regional models and microsimulation Application.

Presented by: Pascal Volet, ing. October 11,2007 Application of Dynameq in Montréal: bridging the gap between regional models and microsimulation Application.
Time of day choice models The “weakest link” in our current methods(?) Change the use of network models… Run static assignments for more periods of the.

Time of day choice models The “weakest link” in our current methods(?) Change the use of network models… Run static assignments for more periods of the.
Status of the SEMCOG E6 Travel Model SEMCOG TMIP Peer Review Panel Meeting December 12, 2011 presented by Liyang Feng, SEMCOG Thomas Rossi, Cambridge Systematics.

Status of the SEMCOG E6 Travel Model SEMCOG TMIP Peer Review Panel Meeting December 12, 2011 presented by Liyang Feng, SEMCOG Thomas Rossi, Cambridge Systematics.
GEOG 111 & 211A Transportation Planning Traffic Assignment.

GEOG 111 & 211A Transportation Planning Traffic Assignment.
Sequential Demand Forecasting Models CTC-340. Travel Behavior 1. Decision to travel for a given purpose –People don’t travel without reason 2. The choice.

Sequential Demand Forecasting Models CTC-340. Travel Behavior 1. Decision to travel for a given purpose –People don’t travel without reason 2. The choice.
Evaluation Tools to Support ITS Planning Process FDOT Research #BD015-19 presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.

Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.

Norman W. Garrick Transportation Forecasting What is it? Transportation Forecasting is used to estimate the number of travelers or vehicles that will use.
Bicycle Modeling with the Santa Clara VTA Models – Proof-of-Concept … and Beyond.

Bicycle Modeling with the Santa Clara VTA Models – Proof-of-Concept … and Beyond.
Planning Applications: A City- wide Microsimulation Model for Virginia Beach Craig Jordan, Old Dominion University Mecit Cetin, Old Dominion University.

Planning Applications: A City- wide Microsimulation Model for Virginia Beach Craig Jordan, Old Dominion University Mecit Cetin, Old Dominion University.
SEMCOG Modeling Peer Exchange Panel Report. Overall Outline Topic Definition Planning Objective Problem Statement Basic Solution Advanced Solution Resources.

SEMCOG Modeling Peer Exchange Panel Report. Overall Outline Topic Definition Planning Objective Problem Statement Basic Solution Advanced Solution Resources.
San Francisco Bay Area Activity-Based Models Specification & Training Study Chuck Purvis Metropolitan Transportation Commission Oakland, California Workshop.

San Francisco Bay Area Activity-Based Models Specification & Training Study Chuck Purvis Metropolitan Transportation Commission Oakland, California Workshop.
An Experimental Procedure for Mid Block-Based Traffic Assignment on Sub-area with Detailed Road Network Tao Ye M.A.Sc Candidate University of Toronto MCRI.

An Experimental Procedure for Mid Block-Based Traffic Assignment on Sub-area with Detailed Road Network Tao Ye M.A.Sc Candidate University of Toronto MCRI.

Similar presentations

Ads by Google