Norman W. Garrick Traffic Stream Flow Equations. Norman W. Garrick Basic Stream Flow Parameters...
-
date post
22-Dec-2015 -
Category
Documents
-
view
216 -
download
1
Transcript of Norman W. Garrick Traffic Stream Flow Equations. Norman W. Garrick Basic Stream Flow Parameters...
Norman W. Garrick
Traffic Stream Flow Equations
Norman W. Garrick
Basic Stream Flow Parameters
Three types of parameters
1. Spacing and Concentration
2. Headway and Flow
3. Speed
Norman W. Garrick
Spacing is the distance between vehicles, s
Concentration (or density) is the number of vehicles
per unit length, k
Spacing and Concentration
s2 s3 s4
D
s(ave) = 1 / k
s1
Norman W. Garrick
Headway is the time between vehicles passing a
specific location, h
Flow is the amount of vehicles passing a specific
location in a specific time, q
Headway and Flow
h(ave) = 1 / q
measurement point
Norman W. Garrick
TMS and SMS
Time Mean Speed - is based on the spot speed of the vehicles passing a specific point
Space Mean Speed - is based on the average time it takes vehicles to cover a certain specified distance
Time Mean Speed, ut = 1/n ∑ vi
Space mean speed, us = 1 / {1/n ∑ 1/vi }
Norman W. Garrick
Relationship between Space and Time Parameters
What is the concentration?k = 100 vehicles/mile
What is the space?s = 1/k = 1/100 miles = 52.8 feet
If the average speed = 10 milesWhat is the flow (q)?
Flow is total number of vehicles passing any point Flow = 10*100 = 1000 vehicles/hr
In other words, q = uk
100 vehicles
D = 1 mile
Norman W. Garrick
Representing Traffic Flow
The fundamental equation of traffic stream flow is
q = ukThis equation is used in conjunction with the Traffic Flow Curves (next
slide) in an attempt to characterize traffic flow on a macroscopic level.
However, it should be understood that these analytical representation of traffic flow does not come close to accurately depicting the real life traffic which is a complex and non-linear phenomena.
The complexity derive from the fact that we have a large number of
vehicles interacting in a way that does not follow the laws of mechanics due to the reaction of the HUMAN driver
Norman W. Garrick
Traffic Flow Curves
u
k
Norman W. Garrick
Traffic Flow Curves
u
k
Norman W. Garrick
Traffic Flow Curves
u
k
u
q
Norman W. Garrick
Traffic Flow Curves
u
k
u
q
One important point to note, FLOW increase with SPEED but only up to a point
Why?
Norman W. Garrick
Traffic Flow Curves
u
k
u
q
k
q
Norman W. Garrick
What is the Maximum Theoretical Flow on a Highway?
If we have observed Density and Speed we could estimate maximum flow
The relationship between SPACE and SPEED depends on the ‘safety regime’
This safety regime is hard to characterize and depends on factors such as weather, age of drivers and other cultural factors
The figure in the next slide is considered to give a SPACE/SPEED relationship that comes close to reality for American driving conditions
Norman W. Garrick
Calculating Maximum FlowSpacing versus Speed
0
100
200
300
400
500
600
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0
Speed, mph
Sp
aci
ng
, fe
et
Curve A from Figure 3.2.2 in Text
Spa
cing
, ft
Norman W. Garrick
Calculating Maximum FlowSpeed versus Concentration (u-k)
0.0
20.0
40.0
60.0
80.0
100.0
120.0
140.0
0 50 100 150 200 250
Concentration (k), vehicles/ mile
Speed, m
ph
k = 1 / s(ave) u
k
Norman W. Garrick
Calculating Maximum FlowFlow versus Speed (u-q)
0.0
20.0
40.0
60.0
80.0
100.0
120.0
140.0
0 500 1000 1500 2000 2500
Flow (q), vehicles/ hr
Speed (u
), m
ph
In theory qmax occurs at speed of about 40 mph
u
q
Norman W. Garrick
Calculating Maximum FlowFlow versus Concentration (q-k)
0
500
1000
1500
2000
2500
0 50 100 150 200 250
Concentration (k), vehicles/ mile
Flo
w (
q), veh
icle
s/h
r
q = ukqmax = 2000 veh/hr
k
q
Norman W. GarrickNorman W. Garrick
Traffic Flow CurvesMaximum Flow, Jam Concentration, Freeflow Speed
u
k
u
q
k
qqmax
qmaxkj
uf
kj - jam concentrationu = 0, k = kj
qmax - maximum flow
uf - free flow speedk = 0, u = uf