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Presented by: Pascal Volet, ing. October 11,2007

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

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Presented by: Pascal Volet, ing. October 11,2007

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

  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) - Implemented at the modelling group (SMST) of MTQ(Ministry of Transportation for the province of Québec) - Dependable traffic volumes on the primary road network - Can generate sub-area demand matrices - Only tool for traffic forecasts (external inputs needed) - Recently adapted to tour-based modelling (mode switching) The EMME/ 2 based regional model

  5. Modelling in the Montreal Area 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 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

  6. Equilibrium DTA This slide courtesy of INRO

  7. The traffic and travel modelling componentsat the City of Montreal Chronic road congestion problems call for specialized tools in order to pinpoint the impact of transportation network improvements Static Assignment – Regional ModelLarge ScaleEMME Software New DomainSoftware in development Dynamic Assignment – Urban ModelMedium ScaleDYNAMEQ Software Micro-simulation – Arterial ModelSmall ScaleSynchro/SimTraffic or VISSIM For solving existing traffic problems or forecasting future transportation conditions, simulation models are at the centre of all analyses

  8. Modelling in the Montreal Area The Dynameq modelling tool • 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.) The original analysis network, extracted from the EMME/2 regional model The choice of unreleased software* in 2004 was a risky decision, but the results have been conclusive and successful. * Dynameq 1.0 officially released in 2005, now at version 1.2

  9. Dynameq Output Results When comparing similar modelling areas, dynamic assignment based Dynameq is more precise than the static based EMME/2 regional model EMME/2 DYNAMEQ Notre-Dame project areaR² = 0,88 Notre-Dame project areaR² = 0,56

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

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

  12. Mansfield/St-Jacques analysis – example #1 • 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)

  13. Mansfield/St-Jacques analysis – example #1

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

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

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

  17. YUL 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 Total Area = 350 km2 150 km2 50 km2 50 km2 100 km2

  18. Conclusion The future of modelling at the City of Montréal Berri - UQAM Aut. Bonaventure CHUM

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