evaluation of non-intrusive technologies for traffic detection
DESCRIPTION
Evaluation of Non-Intrusive Technologies for Traffic Detection. Farideh Amiri Minnesota Department of Transportation Traffic Records Forum. Presentation Outline. Background Test Site Test Methodology Vendors and Technologies Test Results - Qualitative Issues - PowerPoint PPT PresentationTRANSCRIPT
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Evaluation of
Non-Intrusive Technologiesfor Traffic Detection
Farideh AmiriMinnesota Department of Transportation
Traffic Records Forum
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Presentation Outline• Background• Test Site• Test Methodology• Vendors and Technologies• Test Results
- Qualitative Issues- Preliminary Field Results
• Future Test Activities
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• Easily deployed without disruption of traffic flow
• Safer for staff to deploy
• Sidefire, Overhead, under Pavement or Under Bridge Mounting
Definition ofNon-Intrusive Technologies
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• FHWA & Mn/DOT sponsored test of NIT:– Hughes Test: 1992 - 1994– NIT Phase I: 1995 – 1997– Report is available at:
www.dot.state.mn.us/guidestar
• Success of initial test led FHWA to fund Phase II– Permanent Test Facility
• Bicycle and Pedestrian Test
Background
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• Evaluate full capabilities and limitations of devices
• Test in varying weather and traffic conditions
• Test in varying mounting conditions (overhead/sidefire, heights, offsets)
• Historical and Real-time/ITS applications
Test Goals
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Standard Test Methodology
• Develop standard test procedures– Makes results useful to national audience– Makes tests repeatable by other agencies– Reduce amount of duplicate testing– Coordinate with other standards (ASTM)
• Develop standard statistical procedures– Make results easy to interpret
• Develop standard report guidelines
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Test Site - Freeway
• I-394 at Penn Avenue
– Free flow to heavy congestion
– Inductive loops in place
– Three mainline lanes
– Two reversible HOV lanes
– Catwalk and adjustable mounting poles
– Crank-up pole for “side fire” devices
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NIT Shelter - Outside
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NIT Shelter - Inside
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Sidefire Tower
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Overhead Mounting Structure
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Test Site - Intersection
• I-394 at Penn Avenue
– Multiple lane and single lane approaches
– Congested in peak periods
– Inductive loops in place
– Utilize existing poles
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Intersection Site
PE
NN
AV
E.
Freeway: I-394 EB
Loop D4-1
Eastbound Exit
Pole 1ASIM DT 272SmarTek Pole 2
AutoscopeTraficon
NIT Shelter
Eastbound On-RampL
oo
p D
2-2
Lo
op
D2-
3
Nor
thbo
und
App
roac
h
N
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Test Methodology
• Volume, speed, occupancy, presence, classification
• Compare to baseline
• Different test conditions– Mounting location (height and offset)– Traffic levels– Time of the day– Different weather
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Participating Vendors and Technology Group
• Schwartz Electro-Optics (active infrared)
• 3M (magnetic)
• ECM (microwave)
• SmarTek (passive acoustic)
• Image Sensing Systems (video)
• Traficon (video)
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Participating Vendors and Technology Group (cont)
• Novax (ultrasonic)
• ASIM– Passive Infrared– Passive Infrared/ Ultrasonic– Passive Infrared/Ultrasonic/Microwave
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ASIM, Schwartz
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Video Detectors
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Vendor Considerations– International vs. National vs. Local Presence– Level of Support Provided
• Wholesaler Only• Integration Support
– Support track record• History with large deployments?• Responsive to customer needs?• How long in market?• References available?
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Vendor Support
• Schwartz• 3M• ECM• SmarTek• Autoscope• Traficon• Novax• ASIM
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Ease of Installation/Calibration
• Schwartz• 3M• ECM• SmarTek• Autoscope• Traficon• Novax N/A• ASIM
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Baseline Results
• Manual count of videotape for groundtruth– 4-hours of tape (am peak, midday, pm peak,
evening)– Count tape multiple times
• Freeway results indicate absolute error of less than 2 percent
• Intersection results mixed
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Freeway Baseline
Loop Volume vs. Manual Counts
0
200
400
600
800
0 200 400 600 800
Loop Volume (15 min)
Man
ual
Co
un
ts (
15 m
in)
15 min Counts
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Overview Results - Freeway
SensorMountin
gNo. of Lane
Freeway
Volume Speed
ASIM – Passive IR OH/SF 1 2% 11%
ASIM – Passive IR/ Ult OH/SF 1 9% -
ASIM – IR/Radar/ Ult OH 1 3% 4%
Schwartz - Active IR OH 1 1% 6%
Autoscope – Video OH/SF 3 1 - 2% 1 - 3%
Traficon – Video OH/SF 3 2 - 4% 4 - 8%
SmarTek – P. Acoustic SF 3 5 - 11% 6 - 8%
3M - Mahnetic Under 3 2 – 3% 2 - 6%
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Overview Results - Intersection
SensorMountin
gNo. of Lane
Intersection
Volume Presence
ASIM – Passive IR/ Ult SF 1 - 0%
Autoscope – Video OH 1 19% 0%
Traficon – Video OH 1 12% 0 – 20%
SmarTek – P. Acoustic SF 1 - 0%
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Mounting Impact on Sensor Performance
• Two sensors tested at all mounting heights
• 3 Bases, 5 Heights, 3 Lanes
• Results Presentation
Base vs. height and lane
Lane vs. height and base
Height vs. base and lane
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Field Test Results
• Video performs better when:– Higher– Closer to freeway
• Passive Acoustic performs better when:– 45-degree angle between traffic and sensor
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Preliminary Results (Con.)Each Lane: Performance vs. height and base
Volume Absolute Percentage Difference Change with OffsetsSmarTek vs. Loop
Lane 1
0.0%
5.0%
10.0%
15.0%
20.0%
15 25 35
Offset (Ft)
Ab
solu
te P
erce
nta
ge
Dif
fere
nce
20' Height
25' Height
30' Height
35' Height
40' Height
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- Lane occupancy
- Speed
- Presence
- Vehicle classification (length and height)
ITS Applications
Real-time Data
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Real-time Data
• Vehicle-by-vehicle data recorded by data acquisition system:– Occupied time– Speed
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Occupied Time
Loop A Loop B
16’
Travel Time
Loop Detection Schematic
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Loop 1 Occupied Time Check
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Loop 1A Occupied Time
Lo
op
1B
Oc
cu
pie
d T
ime
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Phase I Results Review (Weather)
• Most devices performed well in varying weather conditions• Video devices affected by wind and lighting conditions• Active infrared device affected by rain and snow. Wet
pavement caused over counting. Snow caused poor vehicle tracking
• Passive acoustic device affected by low temperature
(Undercounting along freeway, over counting at intersection• Passive magnetic device affected by low temperature
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General Results• Most devices suited to temporary applications• Performance varies little from technology to
technology• Heavy traffic had some impact at freeway• Intersection counting not as accurate• Factors to consider
– Ease of installation,calibration and maintenance– Mounting flexibility– Power supply needs– Amount of vendor support
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Heavy Traffic Impact ExampleVolume Comparison - Lane 3
0
100
200
300
400
500
600
700
12:15 14:45 17:15 19:45 22:15 0:45 3:15 5:45 8:15 10:45
Time of Day
Vo
lum
e (
15
Min
) Loop3
Autocscope
SmarTek
ASIM Ir254
SEO
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Next Test:Bike/Ped Detection
• Developed Test Plan– Literature Review– Detection Applications
• Curbside/Crosswalk Ped Detection (Intersection)• Intersection Bicycle Approach• Historical Data (Trail)
– Parameters: presence, volume, speed, direction
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Pedestrian Detection
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Pedestrian Detection
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PNIT
• Pooled fund study “Portable Non-Intrusive Technologies”
• Schedule– Administration, Now– Research, January 2003– Design and fabrication, April 2003– Field evaluation, Summer 2003– Report, December 2003– Present Results at NATMEC conference, May 2004
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PNIT
• Goals are:– Research existing portable systems– Build on current design to design and
fabricate a new PNIT– Prepare detailed PNIT system design and
cost documentation– Evaluate PNIT system in the field under a
verity of test conditions– Disseminate results
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Rapid Deployment
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Unique Applications
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For more information
projects.dot.state.mn.us/nit
www.dot.state.mn.us/guidestar
Thank you