Upload
teryl
View
38
Download
0
Tags:
Embed Size (px)
DESCRIPTION
A Multi-resolution Modelling Framework in the Montréal Area. Presented by: Pascal Volet, ing. City of Montreal TRB Technical Conference May 9, 2007. Co-authors: Christian Letarte & Francine Leduc. 1. Introduction - PowerPoint PPT Presentation
Citation preview
Presented by:Presented by:Pascal Volet, ing.Pascal Volet, ing.City of MontrealCity of Montreal
TRB Technical ConferenceTRB Technical ConferenceMay 9, 2007May 9, 2007
A Multi-resolutionModelling
Framework in the Montréal Area
A Multi-resolutionModelling
Framework in the Montréal Area
1Co-authors: Christian Letarte & Francine LeducCo-authors: Christian Letarte & Francine Leduc
Introduction
In order to fulfill its responsibilities in terms of urban development and accessibility, the City of Montreal faced the fact that it had to be better equipped in terms of modelling and forecasting.
L’Acadie Interchange
Parc / Pins intersections Notre-Dame/Sherbrooke Roundabout
Modelling in the Montreal AreaModelling in the Montreal Area
Its Strengths Its Strengths ::
- 25 years of experience based on rich OD surveys - 25 years of experience based on rich OD surveys (5% household sample every 5 years)(5% household sample every 5 years)
- Integrated regional modelling of transit and auto - Integrated regional modelling of transit and auto - Implemented at the modelling group (SMST) of MTQ- Implemented at the modelling group (SMST) of MTQ
(Ministry of Transportation for the province of Québec)(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
Montréal regional dataR² = 0.89
Notre-Dame Project area dataR² = 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 :Its limitations :
- Simulation of congestion and gridlock (static model)- Simulation of congestion and gridlock (static model)- Implicit land-use (involves external data input for major changes)- Implicit land-use (involves external data input for major changes)- Aggregate intersection control analysis (Volume/Delay curves)- Aggregate intersection control analysis (Volume/Delay curves)- Notre-Dame Project : Regional calibration not adapted to the smaller project area- Notre-Dame Project : Regional calibration not adapted to the smaller project area
Modelling in the Montreal AreaModelling in the Montreal Area
Modelling in the Montreal Modelling in the Montreal AreaArea
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
The traffic and travel modelling componentsThe traffic and travel modelling componentsat the City of Montrealat the City of Montreal
The traffic and travel modelling componentsThe traffic and travel modelling componentsat the City of Montrealat 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 DomainNew DomainSoftware in developmentSoftware in development
Dynamic Assignment – Urban ModelMedium Scale
DYNAMEQ Software
Micro-simulation – Arterial ModelSmall Scale
SimTraffic or VISSIM Software
Static Assignment – Regional ModelLarge Scale
EMME Software
Notre-Dame project areaR² = 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 areaR² = 0,56
EMME/2
Dynameq Output ResultsDynameq Output Results
Dynameq Output ResultsDynameq Output Results
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
Dynameq Output ResultsDynameq Output Results
Traffic situation on the network during the PM peak (5:15)
Congestion – Notre-Dameapproach to Frontenac (LT)
Congestion – Ontario St. approach to Papineau (RT)
Congestion – Sherbrooke St. approach to Papineau (RT)
Dynamic assignment advantagesDynamic assignment advantages
Comparing various design options allows for optimization of the ultimate solution
The differences are in the geometric configuration to the Ville-Marie tunnel westbound approach.
For Option Y congestion begins after de Lorimier Street
Option X Option Y
For Option X congestion begins before de Lorimier Street
Several different design projects can be evaluated simultaneously
Dickson Street closure
Viau and St-Clément functionning as two-way streets
L’Assomption Blvd. extension
Pie-IX / Notre-Dame grade separation
Souligny Ave. Extension and new neighbourhood connections
Dynamic assignment advantagesDynamic assignment advantages
Mitigation construction example for the Notre-Dame project:
1) One lane per direction on Notre-Dame (instead of 2), between A-D-Roy and Ste-Catherine
2) One lane per direction on Ste-Catherine (instead of 2), between A-D-Roy and Notre-Dame
Other Dynameq ApplicationsOther Dynameq Applications
Long term construction mitigation measures can be tested
Increase on Sherbrooke
Increase on Hochelaga
Increase on Ste-Catherine
Decrease on Notre-Dame
Increase on Frontenac
Difference beween the mitigated scenario and the present situation
Limits of the dynamic assignment tool Limits of the dynamic assignment tool
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)
Micro-simulation using Synchro/SimTraffic Micro-simulation using Synchro/SimTraffic
The current and future expansion planned for The current and future expansion planned for the Dynameq-based modelling areathe 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 km2
50 km2
150 km2
100 km2
Total Area = 350 km2
ConclusionConclusion
The future of modelling at the City of Montreal