Pedestrian and cycling counters – South East Queensland

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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 Langdon Queensland Transport Integrated Transport Planning Division Walk 21 Conference October 2008

Transcript of Pedestrian and cycling counters – South East Queensland

Page 1: Pedestrian and cycling counters – South East Queensland

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

Page 2: Pedestrian and cycling counters – South East Queensland

Who we are! Queensland Transport

! Integrated Transport Planning Division –develops transport plans and strategies for state of Queensland

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Who We Are

! Active Transport Planning Unit –strategically plans and provides for cycling and pedestrian transport

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SEQ Principal Cycle NetworkExisting

Future

245km

140km

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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

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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

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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

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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?

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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)

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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

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MC5710 Installation Guidelines

MetroCount 5710 with MSI BL Piezo Sensor

MetroCount

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MSI Roadtrax BL Sensor Source: 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007

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Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007

Normanby Pedestrian Cycle Link Automated Counter Test Site

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Pedestrian Counter

Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007

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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

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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

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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

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Bicycle Counter

Taken from 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007

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MC5600 – Classifier BasicsMetroCount

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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

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MC5600 – Classifier BasicsMetroCount

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The MetroCount “Time-Stamped” philosophy – store every axle

Source: 2007 Cycle Congress, presentation given by Peter Pennisi, Director, Pentagon Systems, 23 November 2007

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Average Weekday

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Path

use

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Total Bike Total Ped Total Usage

Sample:

Normanby

Outputs

Combined Weekend Counts

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Path

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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

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Daily Cycle Volumes and 7 day moving averageNormanby Cycle Link

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23-N

ov-0

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Bike Count7 day moving average

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Daily Pedestrian Volumes and 7 day moving averageNormanby Cycle Link

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23-N

ov-0

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ov-0

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ec-0

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28-D

ec-0

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04-J

an-0

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an-0

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eb-0

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07-M

ar-0

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un-0

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Pedestrian Count7 day moving average

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Standardize and roll-out

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Standardize and roll-out

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Questions?

For further information contact:

Michael LangdonSenior Advisor – Active Transport PlanningIntegrated Transport Planning DivisionQueensland TransportPh: (07) 3117 5544Fax: (07) 3117 5554E-mail: [email protected]