Next Level Trend and Behavioural Analysis with Sophisticated Bicycle Data
1. Next Level Trend and Behavioural Analysis
with Sophisticated Bicycle Data
Mike Kenny, CEO MetroCount
AITPM National Conference, Brisbane, July 2015
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3. MetroCount®
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Bicycle Data – “We Measure What We Value”
People are increasingly turning to the bicycle as a viable
mode of routine transport.
Some factors:
• Offsetting the increasing costs of living.
• Reducing environmental impacts.
• Healthy lifestyle.
• Making cities more liveable and sustainable.
4. MetroCount®
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Designers and engineers need accurate bicycle VOLUME
data for:
• Monitoring usage of existing facilities.
• Planning and designing new facilities.
Many monitoring sites have been or are being established.
But…
Bicycle volume data only provides a partial picture.
Bicycle Data – “We Measure What We Value”
5. MetroCount®
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Bicycle SPEED data is also required for:
• Monitoring & designing for safety.
• Accurate modelling & planning.
But…
How can we obtain bicycle VOLUME data?
How can we obtain bicycle SPEED data?
And…
How can we obtain bicycle data ACCURATELY?
Bicycle Data – “We Measure What We Value”
6. MetroCount®
MetroCount 5720 Advanced
Bicycle Counter with
Piezoelectric strips
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Inductive
Loop
Counter
O P
Bicycles may be recorded with inductive loops
or piezoelectric strips, but...
Why use piezo strips?
Bicycle Data – “We Measure What We Value”
7. MetroCount®
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Bicycle Data – “We Measure What We Value”
Independent tests - By Grontmij B.V., Rotterdam, Netherlands
“In September 2013 Grontmij conducted tests with three bicycle
counting systems at Kralingseweg, Rotterdam. Besides the Dinaf count
tubes already present at the test location, two other counting systems
were deployed for the tests:
• MetroCount MC5720: using piezoelectric strips;
• EcoCounter: using an induction loop glued to the bicycle path.”
“Results… EcoCounter showed the biggest deviations from reality”
9. MetroCount®
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Bicycle Data – “We Measure What We Value”
Independent tests – SKM, Melbourne, Australia (cont.)
“A Metrocount MC5720 bicycle counter was installed on Albert Street
(East Melbourne) in the citybound (west) direction on Wednesday 22
June. As most installations of this piezo sensor were previously on off-
road shared paths there is a need to understand whether motor traffic in
the adjacent traffic lanes interfere with the sensor.”
“Results… The overall count accuracy of the MC5720 was very good”
10. MC5720 Advanced Bicycle Counter
MetroCount 5720 Advanced Bicycle Counter
with MSI BL Piezo Sensor
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MetroCount®
With piezoelectric strips, bicycle volume and speeds are
recorded ACCURATELY
20. Comparison of MC5720 data with manual count data
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MC5720 Advanced Bicycle Counter
Unpublished DTMR Data
MetroCount®
21. Comparison of MC5720 data with manual count & loop data
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MC5720 Advanced Bicycle Counter
MetroCount®
2 Hr Bicycle Volume
Manual Count = 350
MC5720 = 347 (99.1%)
Speed Statistics:
Maximum = 48.6 km/h
Mean = 25.9 km/h
85% Speed = 31.7 km/h
95% Speed = 34.9 km/h
Median = 25.9 km/h
Variance = 33.7 km/h
Std. Dev. = 5.81 km/h
Loops = 344 (98.3%)
Speed Statistics:
Unknown??
MC5720 Installation, St Georges Road Northcote Melbourne
22. MC5720 Speed Data
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MC5720 Advanced Bicycle Counter
MetroCount®
85th percentile:
32.4km/hr
85th percentile:
33.1km/hr
Weekday Peak Period:
“Commuter Usage”
Speed Histograms: Same Location, Different Analysis Criteria
Off Peak Periods
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MC5720 Advanced Bicycle Counter
Sample Reports – Speed Histogram with Directional Filtering
MetroCount®
North Bound
• Total volume = 6704
• Mean speed = 29.1km/hr
• 85th Percentile = 37.8 km/hr
South Bound
• Total volume = 7423
• Mean speed = 18.6 km/hr
• 85th Percentile = 25.9 km/hr
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MC5720 Advanced Bicycle Counter
Sample Reports – Volume & Estimated Kinetic Energy
MetroCount®
North Bound
South Bound
Based on 80kg Bicycle & Rider
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MC5720 Advanced Bicycle Counter
But, why monitor bikes...?
Europe today, Australia tomorrow!
MetroCount®