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Pedestrian and cycling counters –South East Queensland
Measure it so we can manage it
Monitoring Cycle and Pedestrian Network Usage
Robyn Davies for Michael LangdonQueensland Transport
Integrated Transport Planning Division
Walk 21 ConferenceOctober 2008
Who we are! Queensland Transport
! Integrated Transport Planning Division –develops transport plans and strategies for state of Queensland
Who We Are
! Active Transport Planning Unit –strategically plans and provides for cycling and pedestrian transport
SEQ Principal Cycle NetworkExisting
Future
245km
140km
Why acquire and manage data?
! To know how the network is performing
! To guide investment and enhancement decisions
! To demonstrate how the network is delivering the desired community and Government outcomes
Bicycle and Pedestrian Data Issues! Currently, major barriers to
gathering better demand/usage data are cost and effort:
• Counts and surveys are labour-intensive
• Mechanical counting technology is more difficult to apply to bicycles and pedestrians than to motorised vehicles
• To date, little incentive for investment in bicycle & pedestrian counting technologies U.S. Department of Transportation, Bureau of Transportation Statistics, 2000, Bicycle
and Pedestrian Data: Sources, Needs, & Gaps, BTS00-02, Washington, DC
Data collection recommendations! Ideal is a combination of regular field monitoring to obtain volume
patterns combined with occasional surveys to collect more detailed data on origin-destination patterns, user characteristics, etc.
U.S. Department of Transportation, Bureau of Transportation Statistics, 2000, Bicycle and Pedestrian Data: Sources, Needs, & Gaps, BTS00-02, Washington, DC
! Local authorities install:!at least one permanent automatic traffic counter at a control site where flows are high !permanent or temporary sites to count cycles at two or more other sites where measures to promote walking & cycling are being introduced.
Great Britain. Transport Research Laboratory. Department of the Environment, Transport and the Regions. Charging and Local Transport Division; Davies, DG; Emmerson, P; Pedler, A. (1999) Guidance on monitoring local cycle use. TRL REPORT 395, Crowthorne, Berks
Technology Trigger Limiting factors Implications Bike Ped Car
Microwave Receives a beam reflection after hitting an object
Software required for interpretation Accuracy dependant on software interpretation
No No Yes
Ultrasonic Receives a beam reflection after hitting an object
Software required for interpretation
Performance degradation in temperature change, air turbulence and humidity
Accuracy dependant on software interpretation
No No Yes
Acoustic Receives a beam reflection after hitting an object
Software required for interpretation
Not detailed enough for individual classifications
Accuracy dependant on software interpretation
No No Yes
Radio Beam Receives a beam reflection after hitting an object
Software required for interpretation
Performance degradation from metal objects and high voltage
Accuracy dependant on software interpretation
Yes Yes No
Pressure Mat/ Acoustic slab
Acoustic footprint Not detailed enough for individual classifications
Performance degradation in compact or frozen ground
Inconsistently may also detect bicycles
May detect large animals with no differentiation
No Yes Yes
Video image Image change Software required for interpretation Accuracy dependant on software interpretation
Yes Yes Yes
Piezoelectric film Pressure on the film Not detailed enough for individual classifications
Cannot detect pedestrians Yes No Yes
Passive infrared Heat signature detected crossing the beam Not detailed enough for individual classifications
Performance degradation in rain, freezing rain and snow
May detect large animals with no differentiation
Yes Yes Yes
Active infrared Receives a beam reflection after hitting an object
Software required for interpretation Accuracy dependant on software interpretation
May detect large animals with no differentiation
Yes Yes Yes
Passive optical Light levels in a narrow field of view Can only operate during daylight hours Unsuitable for overcast conditions
May detect large animals with no differentiation
Yes Yes Yes
Magnetic Metal object passing over Not detailed enough for individual classifications
Cannot detect pedestrians or non-metal bicycles
Yes No Yes
Inductive loops Metal object passing over Not detailed enough for individual classifications
Cannot detect pedestrians or non-metal bicycles
Yes No Yes
Pneumatic tubes Pressure on the tube Not detailed enough for individual classifications
Cannot detect pedestrians Yes No Yes
Motion sensitive still frame camera
Movement of an object in front of the camera
Software required for interpretation Accuracy dependant on software interpretation
Yes Yes Yes
Available Technologies Compiled from: Noyce and Dharmaraju 2002, & Recreation Access Group, Scottish Natural Heritage.
But there are so many!
Which one?
What were our requirements?! An automated counter that:
! provided separate directional counts of both pedestrians and cyclists
! provided twenty-four (24) hour counts, with total counts at minimum fifteen (15) minute intervals
! reduced likelihood of mischievously enhanced counts or vandalism (invisible)
! could be powered by both battery and mains/solar power! could be installed on existing infrastructure! allowed remote access for data retrieval (GSM Modem or
similar)! provided a data output file that was either simple to use
(reformat/analyze) or complicated but was already in use by local governments and Main Roads
! was not cost prohibitive for smaller projects (<$100,000)
We created our own prototype using...• MetroCount box• Piezo electric strips• Ped sensor – IRISYS
system (used for shopper tracking)
• Plug-in box
• Telemetry solution (in Australia, Telstra’s ‘Next G’ GSM modem & sim card)
• Write program to transmit data
• Computer set up to receive data
MC5710 Installation Guidelines
MetroCount 5710 with MSI BL Piezo Sensor
MetroCount
12
MSI Roadtrax BL Sensor Source: 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Normanby Pedestrian Cycle Link Automated Counter Test Site
Pedestrian Counter
Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Simple Beam Break Comparison
COUNT Count line 1 (IN)
Count line 2 (OUT)
0 0
0
1 1
A
Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Beam Break Comparison - Dithering
COUNT Count line 1 (IN)
Count line 2 (OUT)
0 0
0
1 1
1
234
A
Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Beam Break Comparison - Groups
COUNT 01Count line 1 (IN)
Count line 2 (OUT)
0
0
2
A
Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Bicycle Counter
Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
MC5600 – Classifier BasicsMetroCount
19
AXLE SENSORSB A
Known sensor spacing(usually = 1m)S
tB tA
t1 t2 t3 t4
5 – axle truck / trailer combination(Austroads 94 Class 8)
Source: 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
MC5600 – Classifier BasicsMetroCount
20
The MetroCount “Time-Stamped” philosophy – store every axle
Source: 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007
Average Weekday
0
20
40
60
80
100
120
140
160
180
12:00AM
1:00AM
2:00AM
3:00AM
4:00AM
5:00AM
6:00AM
7:00AM
8:00AM
9:00AM
10:00AM
11:00AM
12:00PM
1:00PM
2:00PM
3:00PM
4:00PM
5:00PM
6:00PM
7:00PM
8:00PM
9:00PM
10:00PM
11:00PM
Path
use
rs
Total Bike Total Ped Total Usage
Sample:
Normanby
Outputs
Combined Weekend Counts
0
10
20
30
40
50
60
70
80
90
12:00AM
1:00AM
2:00AM
3:00AM
4:00AM
5:00AM
6:00AM
7:00AM
8:00AM
9:00AM
10:00AM
11:00AM
12:00PM
1:00PM
2:00PM
3:00PM
4:00PM
5:00PM
6:00PM
7:00PM
8:00PM
9:00PM
10:00PM
11:00PM
Path
Use
rs
Total Bike Total Ped Total Use
PM Peak
AM Peak Bikes
AM Peak Peds
AM Peak
PM Peak Peds
PM Peak Bikes
Pedestrian School Travel
Evening Walkers (lighting & safety)
PM Peak
AM Peak Bikes
AM Peak Peds
AM PeakPM Peak
Peds
PM Peak Bikes
Early morning Pedestrian activity
Late evening Pedestrian activity
Daily Cycle Volumes and 7 day moving averageNormanby Cycle Link
0
100
200
300
400
500
600
700
800
900
23-N
ov-0
7
30-N
ov-0
7
07-D
ec-0
7
14-D
ec-0
7
21-D
ec-0
7
28-D
ec-0
7
04-J
an-0
8
11-J
an-0
8
18-J
an-0
8
25-J
an-0
8
01-F
eb-0
8
08-F
eb-0
8
15-F
eb-0
8
22-F
eb-0
8
29-F
eb-0
8
07-M
ar-0
8
14-M
ar-0
8
22-M
ar-0
8
29-M
ar-0
8
05-A
pr-0
8
12-A
pr-0
8
19-A
pr-0
8
26-A
pr-0
8
03-M
ay-0
8
10-M
ay-0
8
17-M
ay-0
8
24-M
ay-0
8
31-M
ay-0
8
07-J
un-0
8
Bike Count7 day moving average
Daily Pedestrian Volumes and 7 day moving averageNormanby Cycle Link
0
100
200
300
400
500
600
700
800
900
23-N
ov-0
7
30-N
ov-0
7
07-D
ec-0
7
14-D
ec-0
7
21-D
ec-0
7
28-D
ec-0
7
04-J
an-0
8
11-J
an-0
8
18-J
an-0
8
25-J
an-0
8
01-F
eb-0
8
08-F
eb-0
8
15-F
eb-0
8
22-F
eb-0
8
29-F
eb-0
8
07-M
ar-0
8
14-M
ar-0
8
22-M
ar-0
8
29-M
ar-0
8
05-A
pr-0
8
12-A
pr-0
8
19-A
pr-0
8
26-A
pr-0
8
03-M
ay-0
8
10-M
ay-0
8
17-M
ay-0
8
24-M
ay-0
8
31-M
ay-0
8
07-J
un-0
8
Pedestrian Count7 day moving average
Standardize and roll-out
Standardize and roll-out
Questions?
For further information contact:
Michael LangdonSenior Advisor – Active Transport PlanningIntegrated Transport Planning DivisionQueensland TransportPh: (07) 3117 5544Fax: (07) 3117 5554E-mail: [email protected]