HOV Monitoring and Evaluation
By
providing higher travel speed and lower travel time variability, the HOV facility is
expected to encourage a modal shift to higher occupancy vehicles, resulting in an increase
in the person carrying throughput of the highway, optimization of travel speeds, more
reliable travel times and a reduction in energy consumption and vehicle emissions due to
reduced delays and congestion.
In order to evaluate these expected
benefits, eight objectives were defined:
- Increase Person Movement Throughput;
- Provide Travel Time Savings;
- Improve Trip Travel Time Reliability;
- Increase Per-Lane Efficiency;
- Minimize Negative Impacts on General Purpose (GP) Lanes;
- Maintain Safety;
- Obtain Compliance
- Acquire Public and Stakeholder Acceptance & Satisfaction
For each
of these objectives, measures of effectiveness (MOEs) were defined. These MOEs dictated
the traffic data requirements to measure the degree of achievement of each of the
objectives. The evaluation relative to each of the objectives is described below.
HOV Objective 1
Increase Person Movement Throughput
The new HOV lanes have significantly
increased the person movement throughput along the HOV section of TCH and its parallel
routes during the peak periods. The key MOEs for measuring increases in person throughput
are before and after Average Vehicle Occupancy comparisons, and before and after
comparisons of HOV market share.
Overall traffic volumes in the central portion of the HOV section have
increased by approximately 55% in the peak hour directions, and about 15% in the off-peak
hour directions.
Average Vehicle Occupancy (AVO)
Peak direction AVOs have increased
by approximately 2.5% to 4.4% along the Centre screenline (TCH, Lougheed Highway, and
Canada Way) near the Gaglardi interchange, and between 5.3% and 9.4% across the King
Edward Screenline (TCH and Lougheed Highway) near Brunette. Increases in AVO across the
screenlines have been significant on the TCH, without significant decreases on the
parallel routes, confirming that the HOV lanes have induced the generation of new
carpools. Exhibit ES-2 provides a summary of before and after AVOs.

Exhibit ES-2 - Before
& After AVO Changes by Screenline
WESTBOUND
AM PEAK PERIOD |
September 1997 AVO |
September 1999 AVO |
% Difference |
Centre Screenline:
Lougheed, TCH, Canada Way (West of King Edward) |
1.14 |
1.19 |
+4.4% |
King Edward Screenline:
Lougheed, TCH (east of Brunette) |
1.13 |
1.19 |
+5.3 % |
Fraser River Screenline:
Pattullo Bridge, Port Mann Bridge |
1.16 |
1.19 |
+2.6% |
Second Narrows Screenline: Second
Narrows Bridge only |
1.11 |
1.13 |
+ 1.9% |
EASTBOUND
PM PEAK PERIOD |
September 1997 AVO |
September 1999 AVO |
% Difference |
Centre Screenline:
Lougheed, TCH, Canada Way (West of King Edward) |
1.24 |
1.27 |
+ 2.4 % |
King Edward Screenline:
Lougheed, TCH (east of Brunette) |
1.17 |
1.28 |
+9.4% |
Fraser River Screenline:
Pattullo Bridge, Port Mann Bridge |
1.20 |
1.23 |
+2.5 % |
Second Narrows Screenline: Second
Narrows Bridge only |
1.20 |
1.23 |
+2.9 % |
Some diversions in existing HOVs have been
observed across the Fraser River screenline (Pattullo Bridge and Port Mann Bridge), where
the TCH/Port Mann Bridge AVOs have increased significantly (approximately 3.3 to 6.2%),
while the Pattullo Bridge AVOs have decreased significantly (approximately 2.5 to 3.6%).
Person Throughput
In general AVOs are the best measure
of person throughput because they are normalized by the before and after number of
vehicles. Raw person throughput data can also be used to measure the degree to which this
objective is achieved, but are not as reliable since traffic volume variations can
significantly sway results. Using the AVOs and the available short count data collected
during September of 1997 and 1999, changes in person throughput along Highway 1 near
Gaglardi interchange (central and representative portion of the HOV section) are
summarized in Exhibit ES-3.
Exhibit ES-3 -
Before & After Person Throughput at the Central Portion of the HOV Section
HIGHWAY AT GAGLARDI INTERCHANGE (CENTRAL PORTION OF HOV SECTION) |
Peak Period / Direction Person Throughput |
Before |
After |
% Change |
AM Period
(6:00 9:00)
Westbound |
11,200 |
15,700 |
40% |
PM Period
(3:00- 6:00)
Eastbound |
9,200 |
15,900 |
72% |
Review of the person volume data indicates
that total person movement throughput along the Highway 1 HOV Section has increased by
approximately 40% in the AM westbound peak direction, and 72% in the PM eastbound peak
direction. When interpreted with the overall AVO increase observations across all
screenlines, it can be confirmed that the increase in person throughput is due to an
increase in higher occupant modes, and not just an increase in traffic volumes. The
increase in person throughput beyond normal growth can be accounted for by attraction of
SOVs and HOVs from parallel routes (such as Lougheed Highway and Canada Way / Pattullo
Bridge), and by satisfaction of latent demand (where more people are able to make the trip
they want when they want, etc).

HOV Market Share
Significant increases in HOV market share have been observed primarily
in the peak direction. Specifically, the percentage of people in the HOVs has increased
between 9% and 12% across the King Edward screenline, 2% to 4% across the Centre
screenline, and 3% to 5% across the Fraser River screenline during the AM and PM peak
directions. Exhibit ES-4 provides a tabulation of before and after HOV market share
percentages.
Exhibit ES-4 - Before & After HOV
Market Share Changes by Screenline
WESTBOUND
AM PEAK PERIOD |
% of People in HOVs |
% Difference |
September 1997 |
September 1999 |
Centre Screenline:
Lougheed, TCH, Canada Way (near Gaglardi) |
27 % |
29 % |
+2% |
King Edward Screenline:
Lougheed, TCH (east of Brunette) |
20 % |
29 % |
+9% |
Fraser River Screenline:
Pattullo Bridge, Port Mann Bridge |
25 % |
30 % |
+5% |
Second Narrows Screenline: Second
Narrows Bridge only |
17 % |
21 % |
+4% |
EASTBOUND
PM PEAK PERIOD |
% of People in HOVs |
% Difference |
September 1997 |
September 1999 |
Centre Screenline:
Lougheed, TCH, Canada Way (near Gaglardi) |
34 % |
38 % |
+4% |
King Edward Screenline:
Lougheed, TCH (east of Brunette) |
27 % |
39 % |
+12% |
Fraser River Screenline:
Pattullo Bridge, Port Mann Bridge |
31 % |
34 % |
+3% |
Second Narrows Screenline: Second
Narrows Bridge only |
29 % |
33 % |
+4% |
HOV Objective 2
Provide Travel Time Savings
The new HOV lanes provide
significant travel time savings to HOVs relative to Phase I conditions prior to the
construction of the HOV lanes, and relative to adjacent current GP traffic (Phase II). In
the AM peak period westbound, HOVs save 7.3 minutes compared to travel times in Phase I,
and 5.6 minutes compared to the GP traffic currently in the lanes next to them. In the PM
peak period eastbound, HOVs save 20.3 minutes compared to travel times in Phase I, and 8.7
minutes compared to the GP traffic currently next to them. All of the savings were found
to be statistically significant at the 95% level.
Exhibit ES-5 provides a tabulation of travel time comparisons travel
times along the HOV/FSP corridor parallel routes. It can be observed that the Highway 1
travel times are consistently lower than the parallel routes, predominantly due to the
arterial nature of those routes. It is interesting to note that the parallel route travel
times are lower in the peak direction, than in the off-peak, illustrating the benefits of
signal coordination.
Exhibit ES-5 - HOV/FSP Corridor Phase II Travel Time and Speed
Comparison


HOV Objective 3:
Improve Trip Time Reliability
Variances in average speeds along
the HOV lanes were also observed to be significantly lower when compared to Phase I
variances, and when compared to current GP variances in average speed. In the westbound AM
peak direction, HOV trip time reliability has increased by 27% and 24% relative to
previous (Phase I) conditions, and current (Phase II) GP conditions, respectively. In the
eastbound PM peak direction, HOV trip time reliability has increased by 13% and 17%
relative to Phase I conditions, and current GP conditions, respectively. All of the
differences were found to be statistically significant at the 95% level.
HOV Objective 4:
Increase Per Lane Efficiency
An increase in the efficiency of the
HOV section has been observed, as measured by increased person throughput and increased
operating speeds (averaged for all three lanes). In the peak directions, the per lane
efficiency has increased by 31% for the westbound AM peak period, and an astounding 106%
for the PM peak period eastbound, clearly showing the efficiency improvements when
capacity is utilized to its potential with higher occupant modes of travel.
HOV Objective 5:
Minimize Negative Impacts on GP Lanes
The new HOV lanes have not adversely
affected the GP lane operations, as measured in terms of average GP speeds and levels of
service. Average GP speeds have increased in all periods and directions as a result of the
additional capacity and the absorption of existing HOVs by the new lanes. Although not an
objective to improve conditions for GP traffic, some of the GP travel times savings were
also observed to be statistically significant. LOS were also observed to improve for the
GP lanes, increasing from LOS F to E and D in the peak directions.
HOV Objective 6:
Maintain Safety
The assessment of safety impacts to
the HOV/FSP section was based on comparisons of crash claims data, as obtained from
ICBCs claims database, for the periods before, during and after construction of the
HOV lanes. It was initially intended to use MoTHs Highway Accident System (HAS)
which is based on the ICBCs Traffic Accident System (TAS) and Police MV104 accident
database; however, this data was not available at the time of this project.
Comparisons of the claims data indicate a noticeable increase in the
number of accident related claims during the construction period, but a dramatic decrease
in the frequency of claims and total associated claim costs after the construction of the
HOV facility and the FSP service. Specifically, when compared to the total number of
annualized claims prior to construction of the HOV lanes, claims increased by 22% during
construction, but decreased (from the pre-construction phase) by 25% in the year
subsequent to the HOV and FSP operations. In terms of cost of claims, the costs increased
by approximately $400,000 during construction of the HOV lanes, but decreased by $ 4.6
million from before construction, expressed on an annual basis.
Although claims data is not a
comprehensive source of safety data, the general reduction in accident claims tentatively
confirms that safety has been maintained along the Highway 1 HOV and FSP section since the
construction of the HOV lanes and deployment of the FSP.
HOV Objective 7:
Obtain Compliance
HOV lane compliance rates were
observed to be satisfactory in all periods and directions, ranging between 90 to 95%,
except near the east terminus of the eastbound HOV lanes where AM compliance rates of 85%
were observed. The proximity of the measurements to the terminus of the lanes suggests
that during peak conditions, GP traffic may enter the HOV lanes close to its terminus.
Nevertheless, most agencies including MoTH target a minimum compliance rate of 85%. The
TCH HOV lanes clearly achieve this.
Comparison of 2+ HOV compliance data six months after the HOV lanes
opened, versus one year after, indicates consistency in the results, with compliance rates
increasing between 6 to 11% near the Gaglardi interchange, and decreasing by 3 to 8% near
the Cape Horn terminus of the HOV lanes
Analysis of all HOV-related offences (including 2+ non-compliance)
since the opening of the lanes indicates that the frequency of offences has not increased
or decreased. However, the allocation of enforcement resources has been optimized by
starting out with higher levels of enhanced enforcement and accordingly reducing the
effort to the required amount of enforcement to maintain standards.
HOV Objective 8:
Acquire Public Acceptance and Satisfaction
Information, observation, and
opinion seeking surveys were distributed to TCH motorists, as well as to a selected sample
of stakeholders, to document acceptance and satisfaction with the HOV lanes. Based on
responses from approximately 566 motorists on Highway 1 (with an appropriate 30% to 70%
HOV and SOV split), public acceptance and satisfaction was observed to be very high
(stakeholders even higher).
Exhibit ES-6 below summarizes the critical attributes of the full
sample of HOV respondents, broken down by whether they are newly formed or existing, and
whether they were already on the TCH or switched from parallel routes.

Exhibit ES-6 - Existing & New HOVs versus
TCH & Route Switching HOVs

Of the sample of all HOV users, the surveys indicate that:
- About 28% of the are new carpools, while 72% were already carpooling.
- About 60% of were already on the TCH, while 40% switched from the parallel routes.
- About 17% of the HOVs were new carpools formed by SOVs on the TCH, while 11% were new
carpools formed by SOVs on the parallel routes.
- About 43% of the HOVs were carpools already existing on the TCH, while 29% were carpools
already on the parallel routes.
Results were consistent irrespective of the respondents mode of
travel and confirm that for most of the acceptance and satisfaction accounts used
(relating to HOV benefits and safety), more than 70% of SOVs and 85% of HOVs are
satisfied. Also, approximately 89% of HOV and 74% of SOV motorists believe that the
designated number of occupants for the HOV lanes should be 2 or more persons (existing
rule).
Primary issues raised by the respondents related to HOV expansion and
improvements across the Port Mann Bridge, as well as the need for additional enforcement.
Only 23% of the SOVs indicated a desire to limit the HOV lanes to peak periods only.
Summary of HOV
Benefits
|
All of the HOV project
objectives have been achieved, with expected benefits attained:
- Person movement throughput has increased significantly through the formation of new
carpools, as opposed to merely diversion of existing HOV traffic from other parallel
facilities
- HOVs experience significant travel time savings in
both peak periods and directions
-
Trip times are significantly more reliable for HOV
traffic
- Per lane efficiency during the peak directions has significantly increased due to the
movement of more persons at optimum average speeds
- GP lanes have not been adversely affected but operate better now due to the added
capacity
-
Safety has not been compromised, with the total
frequency and cost of claims decreasing
-
Compliance is above the desired 85% minimum for all
directions and time periods
- More than 70% of the SOVs and 85% of the HOVs view the HOV
lanes as a benefit to their transportation system and are satisfied with its benefits.
|

TMP Monitoring &
Evaluation
The TMP is intended to increase the efficiency and operational
lifecycle of this critical urban section of the Highway 1 corridor by providing Incident
Management and Traveler Information services, and thus improving vehicle throughput,
reducing delays due to incidents, and reducing accidents.
Similar to the HOV evaluation, a set of objectives was defined to
evaluate the benefits expected from the TMP as well as interim benefits associated with
the FSP. The objectives identified were:
- Reduce/Manage Recurrent Congestion
- Reduce/Manage Non-Recurrent Congestion
- Improve Safety
- Optimize Efficient Use of Capacity
- Acquire Public Acceptance & Satisfaction
Using the MOEs and data requirements identified for the TMP
evaluation objectives, a second baseline of data were collected and analyzed for the TMP
to reflect pre-and post-HOV conditions. Where applicable, the FSP benefits were evaluated
as part of the TMP objectives of reduced non-recurrent congestion and improved safety.
Relevant before and after comparisons were made in an attempt to differentiate the changes
due to HOV, FSP and TMP,
TMP Objective 1:
Reduce/Manage Recurrent Congestion
Recurrent congestion is due to regular, daily high levels of traffic
relative to capacity, which regularly create traffic congestion and delays. The primary
MOE for measuring the reduction in recurring congestion is average speeds and travel times
along the entire length of the Study section. Exhibit ES-7 below tabulates before and
after travel time estimates, providing a breakdown by the key study sections. Differences
between Phase I and II travel times within the North Vancouver and Surrey sections were
observed to be negligible; this was expected since no major improvements were implemented
in these sections since Phase I. The results do indicate an "end to end" (Lynn
Valley Road to 176 Street) travel time saving of 13.8 minutes for the eastbound PM peak
period, confirming that the benefits of the HOV and FSP improvements are significant and
extend well beyond the boundaries of the HOV / FSP section.
Exhibit ES-7-
Before and After Comparisons of Study Section Travel Times
Travel Time Comparisons
(Minutes) |
AM Peak Direction (WB) |
PM Peak Direction (EB) |
Before |
After |
Savings |
Before |
After |
Savings |
North
Vancouver & Vancouver Section: Lynn Valley to Grandview Highway |
15.7 |
17.1 |
-1.4 |
8.7 |
8.2 |
0.5 |
Vancouver
Coquitlam HOV & FSP Section |
16.7 |
14.9 |
1.8 |
32 |
20.3 |
11.7 |
Coquitlam
& Surrey Section: Cape Horn to 176 Street |
8.2 |
7.4 |
0.8 |
8.8 |
7.2 |
1.6 |
Lynn Valley to 176 Street Total Study Section |
40.6 |
39.4 |
1.2 |
49.5 |
35.7 |
13.8 |
This second baseline of travel time data
for evaluating the TMP complements the Phase I baseline well, is statistically reliable,
and will permit separating the effects of the HOV and "precursor" FSP
improvements from other forthcoming TMP improvements. Phase III "after"
evaluation of TMP should reflect more significant savings along this length of the Study
section due to improved traffic management and traveler information services. Collection
of Phase III travel time data will be more efficient, if volume and speed data are
extractable from an Automatic Incident Detection (AID) system.

TMP Objective 2:
Reduce/Manage Non-Recurrent Congestion
Non-recurrent congestion results from random traffic incidents, such as
accidents and stalls, which reduce available capacity by blocking lanes and/or shoulders
and therefore delay the flow of traffic.
Non-recurrent congestion can be reduced and managed by reducing the
overall duration of incidents, by detecting, responding, and clearing incidents faster.
The primary MOE for this objective is reduced incident durations. A supporting MOE, which
is a function of incident duration, is reduced delay due to incident blockages.
A substantial database of incident data (such as type, location, time,
direction, response time, lane blockages, and clearance times) was logged during Phase I
and Phase II using the FSP traffic management centre, temporary CCTV installed
specifically for this project, and the North Shore maintenance contractor. This data has
been used to evaluate the FSP, in terms of this objective of managing and reducing
non-recurrent congestion. Comparisons are made between Phase I incident data capturing the
no FSP scenario, the Phase II data capturing the with FSP scenario for the HOV-FSP
section, and the Phase II data without FSP scenario using data from other sections of the
Study corridor. The data has also been used to establish a post-HOV and pre-TMP baseline
of data for the TMP.
Incident Duration
A comparison of the Phase I and II incident duration data is
provided in Exhibit ES-6 below.
Exhibit ES-8 -
Incident Duration Comparisons
| Incident
Data Source
|
Coverage
Area
|
Average
Response
Time
(min) |
Average
Clearance
Time
(min) |
Average
Incident
Duration
(min) |
Phase I (Visual Observations) |
HOV/FSP Section |
23.0 |
19.0 |
41.0 |
Phase II FSP Data Logs |
HOV/FSP
Section |
7.1 |
13.8 |
21.0 |
Phase
II CCTV & Video-taping |
North Vancouver
Section Surrey Section |
23.7 3.4 |
38.9 13.4 |
61.5 14.8 |
|
Average
of Both Sections |
10.3 |
22.0 |
29.3 |
Phase II North Shore Contractor |
First Avenue
to 2nd Narrows |
19.7 |
19.7 |
Specific conclusions drawn
include:
-
FSP Evaluation:
The FSP currently respond to approximately 300
incidents per month. In the HOV and FSP section of the corridor, the average incident
duration has been reduced by approximately 50%, from 41 minutes to 21 minutes. This
reduction is the result of a reduction in response times from 23 minutes down to 7
minutes, and a reduction in average incident clearance time from 19 minutes to 14 minutes,
clearly reflecting the benefits of CCTV monitoring and FSP incident response, and
clearance.
- TMP Baseline:
Along the North Vancouver and Surrey sections
of the study corridor where maintenance contractor service vehicles are present, but
without FSP/CCTV, the average incident duration is 30 minutes. In both cases, the incident
duration is comprised of approximately one-third response time and two-third clearance
time. Along the HOV and FSP section of the corridor, the average duration of incidents is
21 minutes with FSP (Phase II), and 41 minutes without FSP (Phase I).
Delay Due to
Incident Lane & Shoulder Blockage
The incident data were also used to estimate delays and costs resulting
from lane and shoulder blockages. It is observed that incidents involving lane blockages
comprised 18% of all incidents at an annualized user cost of $13.5 million, while the
remaining 82% of incidents resulting in shoulder blockages cost users over $14.7 million.
It was further determined that the average frequency and duration of lane and shoulder
blockages, during the peak directions, results in a 15% reduction in capacity.
Incident user cost estimates were also used to further demonstrate FSP
benefits. Linear regression techniques were used to determine a relationship between
average incident duration and the cost of delays due to incidents. It was estimated that
the reduction in incident durations from 41 minutes to 21 minutes translates to an
approximate $ 18 million dollar reduction in user costs attributable to incident delays.

TMP Objective 3:
Improve Safety
Safety analysis of the TCH was limited to the analysis presented under
the HOV safety objective. This analysis identified a significant decrease in the frequency
of accident claims and associated costs since the opening of the HOV lanes.
Exhibit ES-9-
Percent Difference in Claim Frequency by Project Phase

Exhibit ES-9 provides a summary of the increase and decrease in
accident claim frequencies when comparing pre HOV lane conditions to post HOV and pre-FSP,
and post-HOV and FSP conditions. An approximate 25% reduction in crashes is observed when
comparing the safety performance of the Highway 1 study section before and after the HOV
and FSP improvement projects.
Preliminary analysis by MoTH, of raw MV104 accident data obtained from
the Police, indicates a 10% reduction in crashes when comparing the safety performance of
the Highway 1 study section before and after the HOV and FSP improvement projects.
However, temporary enhanced Police enforcement (paid by BCTFA) may have led to an increase
in MV104 reporting after the HOV-FSP improvements (this following a few years of decreased
reporting starting in 1996). The MV104 accident reports generally make up 25% to 30% of
the ICBC claims data on crashes.
A portion of the above 10% to 25% crash reduction benefits may be
attributable to improved incident response, management, and clearance by the FSP, but is
difficult to separate from potential safety benefits of other improvements along the HOV
and FSP segment. Exhibit ES-10 below provides a tabulated summary of potential safety
impacts associated with changes in the HOV and FSP segment of Highway 1.
Exhibit ES-10 -
Safety Impact Contributing Factors
| Contributing Factors
|
Potential Safety Impact |
Fsp |
Positive |
Continuous
lighting |
Positive |
Traffic growth |
Negative |
Addition of
Capacity through six Laning of Highway 1 |
Positive |
Continuous
median barrier |
Positive |
Provision of 3
meter left shoulder where possible |
Positive |
Less stop and
go |
Positive |
HOV versus GP
Speed Differential with weaving |
Negative |
Additional
lane ends and merge conflicts |
Negative |
Prior to implementation, it was estimated
that the ICBC Freeway Service Patrols and *4444 incident reporting system (CCTV detection
was used instead of *4444) would improve safety by clearing incidents more quickly, and
thereby reduce accidents by 5 12% (TMP Business Plan, by Delcan, 1995; and ICBC
Review of Systems for Freeways, by Hamilton Associates, 1997). Although the 25% reduction
in collision claims made to ICBC since the construction of the HOV lanes and the
deployment of the FSP cannot be broken down, it does tentatively confirm that the safety
benefits of recent improvements along the HOV and FSP sections of Highway 1 are
substantial and may equal or exceed earlier estimates.
TMP Objective 4:
Efficient Use of Capacity
This objective is intended to demonstrate that the utilization of
capacity between the mainline and the parallel routes is optimized, especially during
non-recurrent (incident) congestion when traffic may divert to adjacent routes with spare
capacity. The MOE proposed for this objective is total person throughput across key
screenlines which reflect diversion impacts, such as across TCH, Lougheed Highway and
Canada Way near the Gaglardi interchange. Baseline throughput data has been collected, for
future comparisons after the deployment of the TMP pilot project.

TMP Objective 5:
Public Acceptance and Satisfaction
At this point, prior to the deployment of the TMP pilot project service
applications, the public acceptance and satisfaction questions were limited to FSP and
general questions on the impacts and benefits of responding to and clearing incidents
faster. Survey results were based on a large sample of TCH users and a smaller sample of
transportation agencies stakeholders. Approximately 60% of TCH users, and 90% of the
stakeholders often see the FSP respond to traffic incidents and agree that clearing
incidents quickly minimizes congestion and leads to secondary benefits like improved air
quality and lower fuel consumption. Almost all of the stakeholder respondents, especially
the RCMP, find the FSP to be a clear asset in incident response and clearance.
All of the fundamental traffic data elements required to support the
evaluation of the TMP pilot project have been collected for pre and post-HOV conditions
consistent with the recommended study methodology and evaluation methodologies used for
other similar evaluations. The following results have been derived during this secondary
baseline of the TMP pilot project evaluation:
Summary of HOV
Phase II TMP Baseline & Benefits
- Statistically reliable travel time data has been collected
to complement the same data collected in Phase I for the evaluation of reductions in
recurrent congestion delays. Marginal differences were observed between Phase I and II,
except in the PM peak eastbound direction where significant travel time savings were
observed (13.8 minutes) primarily due to the benefits associated with the HOV and FSP
sections.
- The database of incident data has been expanded to include
over 800 incidents. A reduction in average incident duration times of approximately 50% on
sections patrolled by the FSP compared to Phase I, Total user cost of delay due to
incident lane blockages has been reduced from $46M to $28M per year due to the FSP and
overall improved operations with the HOV lanes. Potential capacity to be gained with TMP
is between 10% to 15%, which at a 1.4% annual growth rate, could defer infrastructure
expenditures by 10 years.
- All collision data, available at the time of the study, was
collected for establishing a second post-HOV and pre-TMP baseline for measuring improved
safety. Claims data from ICBC was used to compare frequency of accidents before, during,
and after construction of the HOV lanes, and after deployment of the FSP. The accident
analysis indicated substantial crash claims reductions as a result of the HOV and FSP
implementation programs.
- Average speed, volume and occupancy data have been used to
establish baseline throughput estimates across the west screenline of TCH, Canada Way, and
Lougheed Highway at Gaglardi for throughput comparisons with the post TMP data.
- Public acceptance and satisfaction with the FSP is high,
with approximately 60% of the respondents aware of the FSP, and the benefits of short
incident duration times due to improved traffic management.
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