INTEGRATION traffic modelling software was used to simulate traffic operations in the Primary Study Area for typical weekday a.m. and p.m. peak periods in order to identify sections subject to recurrent congestion. A summary of the methodology and results is presented below. Additional details are provided in the INTEGRATION Modelling Calibration Report, in Appendix E.
INTEGRATION is a trip-based microscopic simulation model, designed to trace individual vehicle movements through a road network from trip origin to destination. The model incorporates two major components, the network and the origin-destination (O-D) matrix, as described in the following sections.
The INTEGRATION network is a representation of the physical road network within the primary Study Area. It is coded as a series of roadway links, interconnected by nodes, with operating parameters for each link coded so that the model's simulation will approximate actual operating conditions.
The network coded for this study includes the Highway 417 mainline from west of Highway 416 to west of Anderson Road, as well as all on and off ramps within these limits (not including ramp/arterial road intersections). Link lengths and lane arrangements were scaled from the MTO base plans and the aerial photo orthomosaic.
Key parameters used in coding the network include:
The capacity values noted above are the theoretical maximum flows that could be achieved on model links; actual modelled flows will approach but never reach these values. It is necessary to input these theoretical maximums in order for the simulation model to reproduce the highest observed traffic volumes.
The INTEGRATION network created to model existing conditions was used without modifications for modelling of 2011 conditions. For the 2021 horizon year, the only modification incorporated into the network was the addition of the Hunt Club Road interchange. The new interchange was assumed to be located approximately in line with an easterly extension of the existing Hunt Club Road and was assumed to be designed to current MTO geometric design standards.
1 For a majority of ramps, the link coded in the model coincides with the acceleration or deceleration lane. The operating speed on an acceleration or deceleration lane is higher than the operating speed on the corresponding ramp, and is often higher than the ramp design speed.
Based on a review of the patterns of existing traffic volumes within the Study Area, two three-hour time periods were selected for INTEGRATION modelling. Demand volumes were generated for an a.m. peak period of 6:00-9:00 a.m. and a p.m. peak period of 3:00-6:00 p.m. These time periods capture the build-up to recurring peak period congestion, the critical time period for identification of factors contributing to congestion. It is recognized that congestion may continue, and will ultimately dissipate, beyond the ends of the modelled periods.
The a.m. and p.m. peak hour traffic volume projections for 2011 and 2021 were extrapolated to estimates of three-hour demands for the a.m. and p.m. peak periods, to be used in the INTEGRATION modelling. The parameters used for the extrapolation were derived from the pattern of existing traffic volumes and are summarized in Exhibit 3.8 of the INTEGRATION Modelling Calibration Report (Appendix E).
While the proportions of the volumes occurring during each of the hours in the peak periods can be expected to change over time, there is no firm data available to allow quantification of the changes. Use of the existing volume distribution was considered to be preferable to applying an arbitrary volume distribution. It should be noted that this approach may underestimate the demands in the time periods before and after the peak hour, thus under-representing the effects of peak spreading as demands increase. Some peak spreading is represented in the INTEGRATION model, since vehicle demands that exceed the capacity of the entry link are queued for later entry.
The Origin-Destination (O-D) matrix identifies the traffic demand between each feasible origin-destination pair within the network for each 15-minute interval within the time periods to be simulated. Since detailed O-D data was not available for this study, the required O-D matrices were estimated from observed or projected mainline and ramp volumes using the WatOD software. This software uses an iterative process to assign volumes to each O-D pair until the total link volumes match the observed volumes, within a specified tolerance level (see calibration section, below).
The volumes used for the existing conditions O-D matrix estimation were from the September 2001 ramp counts completed by Pyramid/TSH and the Fall 2000 mainline counts provided by MTO. The recorded hourly volumes were averaged across Tuesday and Wednesday to produce an average weekday hourly volume scenario, representative of volume conditions observed between Monday afternoon and Friday morning. All of the averaged weekday mainline hourly volumes were increased by 0.8% to reflect traffic volume growth between 2000 and 2001.
The 2011 and 2021 O-D matrices were developed using the balanced mainline and ramp volume projections for the a.m. and p.m. peak hours, expanded to three-hour peak period traffic volumes as described in Section 5.1.2. The peak period traffic volume projections were run through WatOD to produce an a.m. and p.m. peak period O-D matrix for each horizon year.
Two types of model calibration were carried out on the existing conditions INTEGRATION model:
The volume calibration was completed by adjusting the demand volumes in the initial O-D matrices produced by WatOD until the modelled volumes were within ±15% of the observed volumes. The initial O-D matrices produced modelled volumes within ±15% of the observed volumes on all mainline sections and on all but five ramps in the a.m. peak period and six ramps in the p.m. peak period. The volume calibration effort reduced this to three ramps in the a.m. peak period and five ramps in the p.m. peak period. Further improvement was not possible, as congestion limited the volumes able to use the affected ramps.
Calibration of the existing conditions model to observed operating conditions was carried out to ensure that the model accurately reflects areas known to experience recurrent congestion and does not show congestion in areas known to operate well in peak periods. This calibration was based on consultant team observations and input from Ministry staff. It was carried out by making minor adjustments to link parameters, particularly capacity, to better reflect actual link-specific operating conditions. The calibrated model was found to accurately simulate existing peak period operations throughout the Study Area, with the following exceptions:
The calibrated model was used for the 2011 and 2021 scenarios without further adjustment.
A level of service (LOS) was assigned to each Highway 417 mainline section for each 15-minute simulation period using the density statistics produced by INTEGRATION and the LOS criteria from the 2000 Edition of the Highway Capacity Manual. (See Section 6.1.3 for a listing of the density ranges associated with each level of service.) The LOS results were reviewed to identify sections that operate at LOS F, congested operation, during one or both peak periods, in each horizon year. The congested sections were classified as experiencing "Congestion" or "Major Congestion" according to the duration of LOS F operations, as follows:
The results are summarized in Table 5.1 for the a.m. peak period and Table 5.2 for the p.m. peak period. The results are also summarized on schematic maps in Appendix F. A discussion of the results is provided following each table.
In reviewing the results summarized in the tables and schematic maps, it is apparent that congestion is expected to generally increase throughout the Study Area in future years. However, some locations may be indicated as having improved operating conditions in a later horizon year compared to an earlier one. This condition generally results from a combination of two factors:
These effects occur in only a few sections of the Study Area and are small relative to the overall degradation in traffic operations expected in future years.
| Location | 2001 | 2011 | 2021 | |
|---|---|---|---|---|
| 1 |
Hwy 416 off-ramp
- Richmond Road |
- | Congestion | Congestion |
| 2 |
Richmond Road
- Pinecrest Road / Greenbank Road off-ramp |
- | Major Congestion | Major Congestion |
| 3 |
Pinecrest Road / Greenbank off-ramp
- Woodroffe Avenue off-ramp |
Congestion | - | - |
| 4 | Woodroffe Avenue Interchange | Congestion | - | - |
| 5 |
Woodroffe Avenue on-ramp
- Maitland Avenue |
Major Congestion | Congestion | Congestion |
| 6 |
Maitland Avenue
- Carling Avenue off-ramp |
Major Congestion | Major Congestion | Major Congestion |
| 7 | Upstream of Parkdale Avenue off-ramp | Congestion | Congestion | Congestion |
| 8 | Upstream of Rochester Street off-ramp | - | Congestion | - |
| 9 | Upstream of Bronson Avenue off-ramp | Congestion | - | - |
| 10 |
Bronson Avenue
- Kent Street |
Congestion | Congestion | - |
| 11 |
Kent Street
- O'Connor Street |
Major Congestion | Congestion | - |
| 12 | Upstream of Nicholas Street off-ramp | Congestion | - | - |
| 13 | Downstream of Nicholas Street on-ramp | Congestion | - | - |
| Location | 2001 | 2011 | 2021 | |
|---|---|---|---|---|
| 14 |
Anderson Road
- Hunt Club Road off-ramp |
- | Congestion | Major Congestion |
| 15 |
Hunt Club off-ramp
- Walkley Road off-ramp |
- | Congestion | Major Congestion |
| 16 |
Walkley Road off-ramp
- Innes Road on-ramp (Inner) |
- | Major Congestion | Congestion |
| 17 |
Innes Road on-ramp (Inner)
- Ottawa Road 174 off-ramp |
Congestion | Major Congestion | Major Congestion |
| 18 | Ottawa Road 174 Interchange | Congestion | Major Congestion | Major Congestion |
| 19 |
Ottawa Road 174 on-ramp
- St. Laurent Boulevard on-ramp (Inner) |
Congestion | Major Congestion | Major Congestion |
| 20 |
St. Laurent Boulevard on-ramp (Inner)
- Vanier Parkway on-ramp (Direct) |
Major Congestion | Major Congestion | Major Congestion |
| 21 |
Vanier Parkway on-ramp (Direct)
- Nicholas Street off-ramp |
Congestion | Major Congestion | Major Congestion |
| 22 | Nicholas Street Interchange | Congestion | - | Congestion |
| 23 |
Nicholas Street on-ramp
- Metcalfe Street off-ramp |
Congestion | Congestion | Major Congestion |
* Major - LOS "F" observed for duration more than 1.5 hours in a modelling period of 3 hours
Congestion - LOS "F" observed for duration 0.5 - 1.5 hours in a modelling period of 3 hours
The following are some key observations from the a.m. peak period INTEGRATION modelling results:
| Location | 2001 | 2011 | 2021 | |
|---|---|---|---|---|
| 1 | Upstream of Hwy 416 off-ramp | - | Congestion | Major Congestion |
| 2 |
Hwy 416 off-ramp
- Richmond Road |
- | Congestion | Congestion |
| 3 | Upstream of Pinecrest Road off-ramp | - | Major Congestion | Major Congestion |
| 4 | Pinecrest Road / Greenbank Road Interchange | - | Congestion | Congestion |
| 5 |
Pinecrest Road / Greenbank Road on-ramp (Direct)
- Woodroffe Avenue off-ramp |
- | Congestion | Major Congestion |
| 6 |
Woodroffe Avenue off-ramp
- Maitland Avenue off-ramp |
- | Major Congestion | Major Congestion |
| 7 |
Maitland Avenue off-ramp
- Carling Avenue off-ramp |
- | Major Congestion | Major Congestion |
| 8 |
Carling Avenue off-ramp
- Parkdale Avenue off-ramp |
- | Major Congestion | Major Congestion |
| 9 |
Parkdale Avenue off-ramp
- Upstream of Rochester Street off-ramp |
- | Major Congestion | Major Congestion |
| 10 | Upstream of Rochester Street off-ramp - Bronson Avenue | Congestion | Major Congestion | Major Congestion |
| 11 |
Bronson Avenue
- Metcalfe Street on-ramp |
Major Congestion | Major Congestion | Major Congestion |
| 12 |
Metcalfe Street on-ramp
- Nicholas Street off-ramp |
Major Congestion | Major Congestion | Major Congestion |
| 13 | Nicholas Street Interchange | Major Congestion | Major Congestion | Major Congestion |
| 14 | Downstream of Nicholas Street on-ramp | Major Congestion | Major Congestion | Major Congestion |
| 15 |
Downstream of Nicholas Street on-ramp
- Riverside Drive on-ramp |
- | Major Congestion | Major Congestion |
| 16 |
Riverside Drive on-ramp
- St. Laurent Boulevard |
Major Congestion | Major Congestion | Major Congestion |
| 17 |
St. Laurent Boulevard
- Ottawa Road 174 |
Major Congestion | Major Congestion | Major Congestion |
| Location | 2001 | 2011 | 2021 | |
|---|---|---|---|---|
| 18 |
Hunt Club off-ramp
- Walkley Road off-ramp |
- | - | Congestion |
| 19 |
Walkley Road on-ramp (Inner)
- Innes Road |
- | Congestion | Congestion |
| 20 |
Innes Road
- Ottawa Road 174 off-ramp |
- | Congestion | Major Congestion |
| 21 | Ottawa Road 174 Interchange | - | Congestion | Major Congestion |
| 22 |
Ottawa Road 174 on-ramp
- St. Laurent Boulevard on-ramp (Direct) |
- | Congestion | Major Congestion |
| 23 |
St. Laurent Boulevard on-ramp (Direct)
- Vanier Parkway off-ramp (Direct) |
- | Major Congestion | Major Congestion |
| 24 | Vanier Parkway Interchange | - | Major Congestion | Major Congestion |
| 25 | Downstream of Vanier Parkway on-ramp (Direct) | Congestion | Major Congestion | Major Congestion |
| 26 | Nicholas Street Interchange | - | Congestion | Major Congestion |
| 27 | Downstream of Nicholas Street on-ramp | - | Congestion | Major Congestion |
| 28 |
Downstream of Nicholas Street on-ramp
- Metcalfe Street off-ramp |
- | Congestion | Major Congestion |
| 29 |
Metcalfe Street off-ramp
- Bronson Avenue |
- | Major Congestion | Major Congestion |
| 30 |
Bronson Avenue
- Downstream of Rochester Street on-ramp |
Congestion | Major Congestion | Major Congestion |
| 31 |
Downstream of Rochester Street on-ramp
- Upstream of Parkdale Avenue off-ramp |
Congestion | Major Congestion | Major Congestion |
| 32 | Upstream of Parkdale Avenue off-ramp | Major Congestion | Major Congestion | Major Congestion |
| 33 | Parkdale Avenue Interchange | Congestion | Major Congestion | Major Congestion |
| 34 |
Parkdale Avenue on-ramp
- Island Park Drive |
Major Congestion | Major Congestion | Major Congestion |
| 35 |
Island Park Drive
- Carling Avenue off-ramp |
Congestion | Major Congestion | Major Congestion |
| 36 |
Carling Avenue off-ramp
- Woodroffe Avenue |
Major Congestion | Major Congestion | Major Congestion |
| 37 | Downstream of Woodroffe Avenue on-ramp (Direct) | - | Congestion | Major Congestion |
* Major - LOS "F" observed for duration more than 1.5 hours in a modelling period of 3 hours
Congestion - LOS "F" observed for duration 0.5 - 1.5 hours in a modelling period of 3 hours
The following are some key observations from the p.m. peak period INTEGRATION modelling results:
As noted above, some highway sections that currently experience recurring congestion are projected to have improved traffic operations in future years due to metering of the traffic demand by major upstream congestion. In these cases, capacity improvement of the upstream section can be expected to result in the redevelopment of congestion in the downstream section. INTEGRATION modelling will be used to identify such interactions and ensure that all impacts of proposed improvement alternatives are assessed.
INTEGRATION was also used to produce measures of the performance of the entire model network for each horizon year, to provide indications of the expected changes in congestion and impacts on mobility throughout the primary Study Area as traffic volumes grow and their distribution changes. The two measures produced by the model are:
Table 5.3summarizes the corridor performance measures for the modelled a.m. and p.m. peak periods in each horizon year.
The model indicates that increasing congestion and degradation in mobility can be expected over the next 20 years. For example, average network speed between 16:00 and 17:00 is projected to decrease by 26.2 km/h (39%) by 2011 and by 32.1 km/h (47%) by 2021. The impact is less during the a.m. peak period; for example, the average network speed between 08:00 and 09:00 is projected to decrease by 7 km/h (11%) by 2021. While the congestion increases in the a.m. peak period are projected to be less severe than in the p.m. peak period, they are still highly significant when considering the traffic volumes using Highway 417 through the Study Area each morning.
| Time Period |
2001
Speed (km/h) |
2011
Speed (km/h) |
2021
Speed (km/h) |
2001
Stops (%) |
2011
Stops (%) |
2021
Stops (%) |
|---|---|---|---|---|---|---|
| 06:00-07:00 | 105.6 | 106.2 | 104.9 | 4.5 | 4.2 | 4.6 |
| 07:00-08:00 | 81.7 | 78.3 | 72.6 | 8.3 | 8.5 | 9.0 |
| 08:00-09:00 | 64.4 | 60.4 | 57.4 | 10.5 | 10.2 | 10.8 |
| Time Period |
2001
Speed (km/h) |
2011
Speed (km/h) |
2021
Speed (km/h) |
2001
Stops (%) |
2011
Stops (%) |
2021
Stops (%) |
|---|---|---|---|---|---|---|
| 15:00-16:00 | 80.7 | 63.4 | 58.4 | 10.3 | 12.2 | 13.4 |
| 16:00-17:00 | 68.0 | 41.8 | 35.9 | 11.4 | 14.7 | 16.2 |
| 17:00-18:00 | 59.2 | 30.7 | 27.4 | 12.2 | 16.4 | 17.7 |
The model indicates a minor improvement in overall corridor performance during the first hour of the a.m. peak period in 2011. This result appears to be caused by a redistribution of traffic volumes, as a result of volume balancing and the travel pattern changes predicted by the EMME/2 model. The redistribution produces a more uniform flow through key sections of the Study Area, delaying the onset of congestion in these areas. The overall improvement in corridor performance is not considered to be significant and is not sustained into the second hour of the peak period or the 2021 horizon year.
Contents | Summary | Introduction | Data Collection | Demand Forecasting | Traffic Volumes
INTEGRATION Modelling | Operations Analysis | Safety Review | Conclusions
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