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CEE320
Winter2006
Traffic Detection Systems
CEE 320
Steve Muench
CEE320
Winter2006
Outline
1. What are traffic detectors?
2. Traffic detector importance
3. Detector types
4. Use Example
CEE320
Winter2006
What Are Traffic Detectors?
CEE320
Winter2006
Traffic Detection Systems Structure
Detector Processor/Controller Storage
CEE320
Winter2006
Why Is Traffic Detection Important?
CEE320
Winter2006
Why Is Traffic Detection Important?
Freeway Monitoring
CEE320
Winter2006
Why Is Traffic Detection Important?
Actuated Signal Control
CEE320
Winter2006
Why Is Traffic Detection Important?
Ramp Meter Control
CEE320
Winter2006
Why Is Traffic Detection Important?
Road Discipline Enforcement
CEE320
Winter2006
Why Is Traffic Detection Important?
Dynamic Traffic Assignment
CEE320
Winter2006
Why Is Traffic Detection Important?
Quality Data
Control Center
E-Message Sign
ATIS
! !
CEE320
Winter2006
Traffic Detector Types
• Inductive loops
• Video
• Microwave
• Infrared
• Acoustic
• Radar
• Magnetic
• Radio frequency
• Global positioning system (GPS)
CEE320
Winter2006
Share of Detector Types at new ATMS Sites
VIP, 14.55%AVI, 3.92%
Acoustic,
8.17%
CCTV, 17.03%
Infrared,
11.35%
Microwave,
7.13%
Magnetic,
0.11%
Loops, 37.75%
CEE320
Winter2006
Popular Traffic Detector Types
Inductive loops Video Image Processors (VIPs)
CEE320
Winter2006
Popular Traffic Detector Types
Remote Traffic
Microwave Sensor (RTMS)
Photos and picture from Electronic Integrated Systems, Inc.
CEE320
Winter2006
Popular Traffic Detector Types
Infrared Sensors Magnetic Sensors
CEE320
Winter2006
Popular Traffic Detector Types
Radio Frequency Tag
CEE320
Winter2006
Popular Traffic Detector Types
ASIM TT 298: Doppler RADAR, ultrasonic, passive infrared.
Volume, classification, speed, occupancy, queue detection, wrong-way
CEE320
Winter2006
Popular Traffic Detector Types
ASIM TT 298: Doppler RADAR, ultrasonic, passive infrared.
CEE320
Winter2006
Popular Traffic Detector Types
Intersection Control Traffic Data Acquisition
= infrared (counting)
= ultrasonic (vehicle height)
= microwave doppler radar (speed)
CEE320
Winter2006
Popular Traffic Detector Types
GPS-Based Tracking Systems
CEE320
Winter2006
Inductance Loop Detectors
• Most popular
Photos from Never
Fail Loop Systems, Inc.
CEE320
Winter2006
Inductance Loop Detectors
CEE320
Winter2006
Inductance Loop Detectors
• A Schematic Diagram
• The inductance seen at the loop terminals is modified by the
capacitance and results in an inductance which increases with
increased operating frequency.
CEE320
Winter2006
Loop Detector Signatures
CEE320
Winter2006
Inductance Loop Detectors
Traffic Control
Cabinet
Lead-In
Cable
DEUs
Field Component
Loop
wires
Pull
Box
CEE320
Winter2006
Inductance Loop Detectors
CEE320
Winter2006
Inductance Loop Detectors
Loop inductance decreases when a car is on top of it.
T = ton
T = toff
Inductance
Timetoffton0
CEE320
Winter2006
Inductance Loop Detectors
• Single loops can measure:
– Occupancy (O): % of time loop is occupied per interval
– Volume (N): vehicles per interval
Single loop measurements? Time
Inductance
High
low
Tn Tn+1tn1 tn2 tn3
CEE320
Winter2006
Dual Loop Detector
• Formed by two consecutive single loop
detectors placed a short distance apart
ldistlloop
CEE320
Winter2006
Dual Loop Detectors
• Dual loop measurements
T = t1
ldist
T = t2
lloop
12 tt
l
Speed dist
−
= ( )
2
12 ototSpeed
Lvehicle
+
=
Measured vehicle lengths are used to classify vehicles into
different categories, such as long and short.
oti = on-time for loop detector i
CEE320
Winter2006
Inductance Loop Detectors
Loop
s Station
cabinet
TSMC
measured data
per 20 sec.
real time
measurements
queried
20 sec data
(e.g. 0:00:00 3, 0.98
0:00:20 2, 0.65)
User
Only 20 sec aggregated data are available from TSMCOnly 20 sec aggregated data are available from TSMC
CEE320
Winter2006
Can We Get Speed from a Single Loop?
• Perhaps…
ot
EVL
s =
s = speed (ft/sec)
EVL = effective vehicle length (ft)
to = occupancy time (s)
EVL ~ vehicle length + detector length
CEE320
Winter2006
Can We Get Speed from a Single Loop?
• Using typical traffic data
hrgOT
N
s
sec
3600×
××
=
s = speed (miles/hr)
N = number of vehicles in the observation interval
T = observation interval (s)
O = percentage of time the loop is occupied by vehicles
during the observation interval (occupancy)
g = speed estimation parameter
100
5280
×
=
EVL
mileft
g
100 converts percent to decimal
CEE320
Winter2006
Inductance Loop Detectors
CEE320
Winter2006
Video Image Processors
CEE320
Winter2006
Video Image Processors
CEE320
Winter2006
A Use Example: Ramp Metering
CEE320
Winter2006
Ramp Meter Schematic
Diagram from
ITS Decision website
CEE320
Winter2006
Example: SR 520
CEE320
Winter2006
What is the Difference?
CEE320
Winter2006
Primary References
• Cosgrove, C. and Cutchin, C. (2003). ITS Decision. Website hosted by
the California Center for Innovative Transportation at the University of
California and Berkeley and Caltrans. http://www.calccit.org/itsdecision
• Wang, Y. (2004). CEE 599F, Advanced Traffic Detection Systems
Course Pak. Civil and Environmental Engineering, University of
Washington.

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Traffic Detection Systems (Transportation Engineering)

Editor's Notes

  1. Traffic detectors are the devices that are used for detecting vehicles, bicycles, and pedestrians. Experience at signalized intersections.
  2. Different types of traffic detectors have different components. In general, it is comprised of detector, processor/controller, and storage media.
  3. This map shows the Houston Transtar real-time traffic management system. Dynamic traffic assignment to emergency vehicles can significantly shorten travel times for emergency responses.
  4. In summary, quality real-time data are fundamental to modern traffic control and management. A major source for such real-time traffic data is traffic detection systems.
  5. Loop detectors still dominate the installations. This is probably because loops have been commodity-priced while the alternative detectors have not due to the short history of these detectors. As growing demand stimulates production, the per-unit cost of the most promising alternative detectors will begin to fall.
  6. Inductive Loop Detection System Video Image Processing (VIP) System Microwave Radar Based Traffic Detection System GPS-Based Vehicle Tracking System Acoustic Traffic Detection System Infrared Traffic Detection System Magnetic Traffic Detection System
  7. (text from EIS also) The RTMS requires no maintenance and was proven to be the only multi-zone traffic detector unaffected by any type of weather. The RTMS design has been proven to maintain accurate detection on any road surface type - even gravel roads, in tunnels and on steel bridges, in heavy snow, driving rain, strong winds and scorching desert sunlight. Its installation does not require road closures and its world-wide proven MTBF of 15 years cast it by far as the detector with lowest cost of ownership. The RTMS is a miniature radar operating in either of two microwave bands, employing the FMCW (Frequency Modulated Continuous Wave) principle. It transmits a low-power microwave signal of constantly varying frequency in a fixed fan-shaped beam. The beam "paints" a long elliptical footprint on the road surface. Any non-background targets will reflect the signal back to the RTMS where the targets are detected and their range measured. The RTMS range measurement resolution of 2 metres (7 ft.) allows the "slicing" of the footprint ellipse into 32 range-slices. The user can define a number (1 - 8) of detection zones, each consisting of one or more range slices. The RTMS internal microcomputer controls in realtime 8 opto-isolator relays corresponding to the detection zones. Relay contacts are closed when a target is present within the respective detection zone. The contact-pairs can be connected directly to traffic controllers. In addition, short-term statistical data on each zone are accumulated and transmitted by the RTMS via its serial port. Typically, every 30 to 300 seconds a message containing the Volume, Occupancy, Average Speed and Classification by length data in each detection zone is transmitted. The long microwave wavelength and the range-measurement capability make the RTMS immune to all weather effects and to most occlusion situations allowing vehicles hidden behind other vehicles to be detected, as shown in the diagram Some acoustic detectors cover five lanes. There are both active and passive acoustic detectors available on the market.
  8. IR sensors detect the changes of temperature due to vehicle presence. Magnetic sensors transform changes in magnetic field intensity into inductance changes that can be sensed by vehicle detectors such as the 3M™ Canoga™ Vehicle Detector.
  9. Radio Frequency Tag (RF Tag) can be used for Transit Signal Priority (TSP) and Signal Preemption systems.
  10. Demo avi for this sensor is available.
  11. Demo avi for this sensor is available.
  12. Demo avi for this sensor is available.
  13. A GPS data logger can be used to collect a vehicle’s position data periodically. Typically, a GPS data logger comprises of three parts: data storage media, GPS receivers, and power supply devices. It is small and affordable (about $300 in 2004).
  14. Bigger bump is engine and front axle, smaller bump is rear axle
  15. Components: One or more turns of insulated loop wire wound in a shallow slot sawed in the pavement. A lead-in cable from the curbside pull box to the controller cabinet. A detector electronic unit housed in the controller cabinet (can control upwards of 40 loops, but usually less in practice).
  16. Using single loop detector measurements, traffic speed can be estimated using the speed calculation algorithms. This slide shows a snap shot of a real-time traffic information system developed by the STAR Lab.
  17. A snapshot of video detector set up. Currently, most new detector types, including VIP and RTMS, are compatible with loop detector output.
  18. Since VIPs provide more information than just high or low voltage, they can be used for more advanced applications. For example, the STAR Lab developed an algorithm for detecting signal control cycle failures using VIP image sequences. Red-signal enforcement systems based on video images have been available since 1990s.