1. Presented by: Pascal Volet, ing. October 11,2007 Application of Dynameq in Montréal: bridging the gap between regional models and microsimulation Application of Dynameq in Montréal: bridging the gap between regional models and microsimulation 1 Co-authors: Christian Letarte & Francine Leduc 21 st EMME Users Conference, Toronto

2. Modelling in the Montreal Area This slide courtesy of INRO

3. Modelling in the Montreal Area This slide courtesy of INRO

4. Modelling in the Montreal Area - 25 years of experience based on rich OD surveys (5% household sample every 5 years) - Disaggregated transit modelling (MADITUC) - Disaggregated transit modelling (MADITUC) - Implemented at the modelling group (SMST) of MTQ (Ministry of Transportation for the province of Québec) - Implemented at the modelling group (SMST) of MTQ (Ministry of Transportation for the province of Québec) - Dependable traffic volumes on the primary road network - Dependable traffic volumes on the primary road network - Can generate sub-area demand matrices - Can generate sub-area demand matrices - Only tool for traffic forecasts (external inputs needed) - Only tool for traffic forecasts (external inputs needed) - Recently adapted to tour-based modelling (mode switching) - Recently adapted to tour-based modelling (mode switching) The EMME/ 2 based regional model

5. Montréal regional data R² = 0.89 Notre-Dame Project area data R² = 0.56 R² : Statistical measure of how well a regression line approximates real data points The objective for a transportation simulation model is a value of 0.90 and above The EMME/ 2 based regional model Its limitations : - Simulation of congestion and gridlock (static model) - Implicit land-use (involves external data input for major changes) - Aggregate intersection control analysis (Volume/Delay curves) - Notre-Dame Project : Regional calibration not adapted to the smaller project area Modelling in the Montreal Area

6. Equilibrium DTA This slide courtesy of INRO

7. The traffic and travel modelling components at the City of Montreal Chronic road congestion problems call for specialized tools in order to pinpoint the impact of transportation network improvements For solving existing traffic problems or forecasting future transportation conditions, simulation models are at the centre of all analyses New Domain Software in development Dynamic Assignment – Urban Model Medium Scale DYNAMEQ Software Micro-simulation – Arterial Model Small Scale Synchro/SimTraffic or VISSIM Static Assignment – Regional Model Large Scale EMME Software

8. Modelling in the Montreal Area The original analysis network, extracted from the EMME/2 regional model The Dynameq modelling tool The choice of unreleased software* in 2004 was a risky decision, but the results have been conclusive and successful. Requirements for software implementation Creation of a dedicated modelling team within the Notre-Dame modernization project (model set-up and data collection) Collaboration with the MTQ in exporting the base data from the regional EMME/2 model (EMME/2 operated at the City with MTQ oversight) Continual updating of changes within the study area perimeter (signal timing and phasing, stop controls, signing and striping, etc.) * Dynameq 1.0 officially released in 2005, now at version 1.2

9. Notre-Dame project area R² = 0,88 When comparing similar modelling areas, dynamic assignment based Dynameq is more precise than the static based EMME/2 regional model DYNAMEQ Notre-Dame project area R² = 0,56 EMME/2 Dynameq Output Results

10. AM peak hour – travel time in seconds PM peak hour – travel time in seconds Travel time data collection – 21 runs yielding 39 segments Travel times vary from 3 to 25 minutes observed per segment

11. DTA enhancements through 3 applied examples Mansfield/St-Jacques analysis – example #1 Through traffic analysis – example #2 Ste-Marie alternatives – example #3

12. Conventional micro-simulation tools needed in order to perform the following tasks Detailed multiple lane changing behaviour, lane sharing Pedestrian and cyclist interaction Individual vehicle queueing visualization Signal timing and phasing optimization (Synchro/SimTraffic) Mansfield/St-Jacques analysis – example #1

14. Through traffic analysis – example #2 Local neighbourhoods Principal Arterials Boulevard Pie-IX

15. Several different design alternatives were quickly coded and evaluated Ste-Marie alternatives – example #3 Final chosen option Initial freeway option Weaving area

16. Ste-Marie alternatives – example #3 Queue testing in SimTraffic, morning peak hour Images courtesy Frank Chan, ing. SNC-Lavalin

17. The current and future expansion planned for the Dynameq-based modelling area Working hand-in-hand with MTQ (SMST) to calibrate the freeway network and its transitions to the City’s arterial streets 50 km 2 150 km 2 100 km 2 Total Area = 350 km 2 YUL

18. Conclusion The future of modelling at the City of Montréal