The input module is simply a set of conditions
that must be specified for analysis to proceed.
It is the parametric description of the variables to be analyzed.
Some of the variables involved are discussed here.
The location of the intersection must be classified as being in the central
business district (CBD) or not.
The calibration study conducted for the 1985 HCM indicated
that intersections in CBDs have saturation flow rates approximately 10% lower
than similar intersections in other areas.
If drivers are used to driving in a big city CBD, all locations in satellite
communities would be classified as ``other''.
In an isolated rural community, even a small business area would be classified
as a CBD.
The general theory is that the busier environment of the CBD causes drivers to
be more cautious and less efficient than in other areas.
If a lane group has curb parking within 84m of the stop line, the existence of
a parking lane is assumed.
Any vehicle entering or leaving a curb parking space constitutes a ``movement''.
Where parking exists, the number of parking movements per hour occuring within
84m of the stop line is an important variable.
Left-turning vehicles turn through the adjacent pedestrian crosswalk.
The flow of pedestrians impedes left-turining vehicles and influences the
saturation flow rate for the lane group in question.
Pedestrian flows between 1700 ped/hr and 2100 ped/hr in a cross-walk have been
shown to fully block left-turners during the green phase.
In signalized intersection analysis, a ``local bus'' is one that stops to
pick up and/or discharge passengers within the intersection at either a near
or a far side bus stop.
Stopped buses disrupt the flow of other vehicles and influence the saturation
flow rate of the affected lane group.
A bus that passes through the intersection without stopping to pick up or
discharge passengers is considered to be a ``heavy vehicle''.
The single most important factor influencing delay predictions is the quality
of progression.
The 1994 HCM model uses six ``arrival types'' to account for this impact.
Arrival Type 1: Dense platoon, containing over 80% of the lane group volume,
arriving at the start of the red phase.
Represents very poor progression quality.
Arrival Type 2: Moderately dense platoon arriving in the middle of the red
phase or dispersed platoon containing 40% to 80% of the lane group volume,
arriving throughout the red phase.
Represents unfavourable progression on two-way arterials.
Arrival Type 3: Random arrivals in which the main platoon contains less than
40% of the lane group volume.
Represents operations at isolated and non-interconnected signaliazed
intersections characterized by highly dispersed platoons.
Arrival Type 4:
Moderately dense platoon arriving at the middle of the green phase or dispersed
platoon, containing 40% to 80% of the lane group volume, arriving throughout
the green phase and represents favourable progression quality on a two-way
arterial.
Arrival Type 5:
Dense to moderately dense platoon, containing over 80% of the lane group
volume, arriving at the start of the green phase.
Represents higly favourable progression quality.
Arrival Type 6:
This arrival type is reserved for exceptional progression quality on routes
with near-ideal progression characteristics.
In the 1994 HCM module, all adjustments are applied to saturation flow rate,
not to volumes.
Several important determinations and calculations are done in this module.
The 1994 HCM model focusses on operational analysis of the peak 15-minute
period within the hour of interest.
Since demand volumes are entered as full-hour volumes, each must be adjusted to
reflect the peak 15-minute interval using a peak hour factor.
This assumes that all the movements of the intersection , peak during the same
15-minute period.
Any set of lanes across which drivers may optimize their operation through
unimpeded lane selection will operate in equlibrium conditions determined by
those drivers.
Any such set of lanes is analyzed as a single cohesive lane group.
An approach is considered to be a single lane group, except for the cases of
exclusive left or right-turn lanes.
Where an exclusive turning lane exists, it must be analyzed as a separate lane
group for analysis.
The lane adjustment made to volume is for unequal lane use.
Where lane groups have more than one lane, equilibrium may not imply equal use
of lanes.
The 1994 HCM allows for an optimal adjustment factor to account for this.
The lane utilization factor adjusts the total lane group flow rate such that
when divided by the number of lanes in the group, the result is the rate of
flow expected is the most heavily-used lane.
When a lane utilization adjustment is used, the resulting v/c ratios and delays
reflect conditons in the most heavily-used lane of the group.
If the factor is not used, the resulting v/c ratios and delays reflect average
conditions over the lane group.
A worksheet is prepared for tabulating intersection movements,peak hour
factor,peak flow rates,lane groups for analysis,lane group flow rates, number
of lanes,lane utilization factor and proportion of left- and right-turns in
each lane.
In this module, the prevailing total saturation flow rate for each lane group
is estimated taking into account eight adjustment factors.
The adjustment factors each adjust the saturation flow rate to account for one
prevailing condition that may differ from the defined ideal conditions.
The ideal lane width is defined as 4m, and it is for this value that the ideal
saturation flow rate is defined.
When narrower lanes exist, the increased side-friction between adjacent
vehicles causes drivers to be more cautious, and increases headways.
If width is less than 4m, a negative adjustment occurs;if width is greater than
4m, a positive adjustment occurs and if the width is equal to 4m, the factor
becomes 1.00.
The procedure involved assumes that the effect of grades is on the operation of
heavy vehicles only, and that it is the heavy vehicles that affect other
vehicles in the traffic stream.
At signalized intersections, the grade adjustment deals with the impact of an
approach grade on the saturation headway at which the vehicles cross the stop
line.
The parking adjustment factor accounts for two deleterious effects on flow in a
lane group containing a curb parking lane within 84 m of the stop line:
The existence of the parking lane creates additional side friction for
vehicles in the adjacent lane, thereby affecting the saturation flow rate, and
Vehicles entering or leaving curb parking spaces within 84m of the stop
line will disrupt flow in the adjacent lane, which will further affect the
saturation flow.
It is generally assumed that the primary effect of a parking lane is on flow in
the immediately adjacent lane.
If the number of lanes in the lane group is more than one, it is assumed that
the adjustment factor for other lanes is 1.00.
A general adjustment factor is prescribed for the majority of ``ordinary'' bus stop situations.
The model assumes that the only lane affected by local buses is the left most
lane.
For general cases, there is no differentiation between buses stopping in a
travel lane and buses pulling into and out of a stop not in a travel lane.
It is assumed that there is no effect on other lanes,i.e.the factor for other
lanes is 1.00.
Data collected for preparation of 1985 HCM suggest that saturation flow rates
in CBDs tended to be 10% less than similar intersections in other parts of the
urban and suburban area.
The data were, however, not statistically conclusive and there is no algorithm
for this adjustment as it depends only on the location of the signalized
intersection.
In modelling the permitted right turns it is necessary to take into
consideration,subdividing of the green phase,average time to arrival of first
right turning vehicle in subject lane group,denoted by ,the average time
for opposing standing queue clear the intersection from a multi lane
approach,denoted as , estimation of proportion of right turning vehicles
in right lane, denoted by .
These parameters are to be estimated for various combinations of multilane and
single-lane subject and opposing approaches.
The most complicated right-turn case to be modelled is the combination of
protected and permitted phasing.
The factors that need to be considered are compound phasing in shared lane
groups, compound phasing in exclusive right-turn lane groups, the right-turn
adjustment factor for protected portion of compound right-turn phases,and the
right-turn adjustment factor for the permitted portion of a compound right-turn
phase.
A variety of base cases can be referred to when dealing with the analysis of
protected permitted or permitted protected signal phasing.
In applying these procedures, manual computation becomes extremely difficult
and the usage of software becomes the preferred way to implement these
procedures.
Analysis of signalized intersection can be made through the capacity analysis
module.
Determining the v/s ratios, determining critical lane groups and the sum of
critical lane v/s ratios, determining lane group capacities and v/c ratios,
modidfying signal timing based on v/s ratios are outcomes of the procedure
involved in the capacity analysis module.
This involves the estimation of average individual stopped delays for each lane
group.
These values may be aggregated to find weighted average delays for each
approach, and finally for the intersection as a whole.
Once delays are determined, a level of service to each lane group can be
designated and the intersection as a whole.
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