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Roadside (or non-intrusive) detector systems are
increasing in prominence due to today’s congested freeways and signalized
intersections. These technologies cause minimal disruption to normal
traffic operations and do not need to be installed in or on the
pavement. They are generally mounted overhead or to the side of
the pavement, often on pre-existing structures. Roadside detection
technologies are usually used to count traffic volume and classify
vehicles. Typically, there are 2 types of non-intrusive sensors:
passive and active. Passive sensors do not transmit energy, but
rather detect energy that is emitted by the vehicles and roadway
or is reflected from them. Active sensors transmit energy, a portion
of which is reflected or scattered from the vehicle and roadway
back toward the sensor. Most of these sensors are cost competitive
with inductive loop detectors, if not cheaper. See our Telecommunications
Diagram on Roadside
Sensors for more information.
Active infrared (or laser range finder technology) is used in a
wide range of applications, including measuring vehicle emissions,
military targeting, aircraft obstacle avoidance, and spacecraft
docking. Laser detectors operate on the same principles as microwave
radar but transmit energy at higher frequencies (shorter wavelengths).
The detector senses a portion of the reflected energy in its field
of view. The distance of an object from the detector is found by
measuring the two-way travel time of the infrared pulse, from the
detector to the target and back. Lasers provide presence, speed,
volume, occupancy, and classification information in day and night
conditions. IR detectors are vulnerable to weather conditions such
as fog, clouds, shadows, mist, rain, and snow which scatter and
attenuate wave energy. Problems also may arise when radar locks
onto and measures the speed of the strongest backscattered signal,
excluding smaller vehicles in the same area. Another downside to
infrared detectors is their high cost, particularly at intersections.
The active detectors are more expensive than the passive.
Cost per Lane: $1,293 (1999)
Passive IR detectors do not transmit energy,
but rather they measure energy emitted by objects in their field view.
They detect vehicle presence by measuring the difference in emitted
energy (i.e. temperature) from the road and vehicles. Passive IRs
provide volume, occupancy, and presence information. These sensors
have difficulty measuring speed because the extended nature of the
vehicle distorts the IR signature, making velocity less clear. Weather
such as fog, snow, and precipitation scatter energy and can have adverse
effects on operation.
Cost per Lane: $443 (1999)
Microwave detectors fall in two categories: Doppler
or radar devices. Radar devices, also known as pulse microwave,
measure the time it takes for a portion of the microwave radiation
to be reflected from the target area to a receiver. Microwave radar
vehicle detectors transmit electromagnetic energy at the speed of
light in frequency bands between 2.5 to 24.0 GHz. They are able
to count vehicles, measure speed and detect vehicle presence. Experimental
models have been used for vehicle classification by measuring the
vertical profile of a vehicle. They are generally insensitive to
weather, provide day and night operation, and perform best on fairly
open roads where long-range capabilities can be taken advantage
of. Advanced units can measure target distance, thus one unit can
have multiple detection zones.
Doppler devices, also known as continuous microwave
devices, output a continuous signal to the detection zone and use
the Doppler principle to analyze the change in frequency of the
reflected signal to calculate the speed of the vehicle. Stationary
vehicles can not be detected with this wave form. The frequency-modulated,
continuous wave signal, or radar devices, allows the measurement
of both speed and presence, as well as the detection of stationary
vehicles. Pulse waveforms are used with ultrasonic and laser radar
sensor technologies. These technologies measure distances to the
road and vehicles, providing vehicle count, presence, and occupancy
information. By transmitting pulse energy at two calibrated, closely
spaced incident angles, vehicular speed may be measured by recording
the time at which the vehicle crosses each beam.
Microwave systems provide a cost-effective alternative
to loops for vehicle presence detection. They are small, lightweight
and easier to install than loops, and they can operate over a long
range. Their size, low cost and low power consumption makes them
well suited for surveillance both at intersections and on freeways.
One concern when installing microwave systems is the potential for
interference since there are many applications for microwave technology
in modern society.
Cost per Lane: $659 (1999)
Radar detectors are in limited use in incident detection
and freeway management projects. The most common type of radar directly
measures vehicle speed using the Doppler effect (measuring frequency
shifts between the transmitted and received beam caused by the vehicle
motion). Vehicle counts can be determined by accumulating each vehicle
detected, but this approach cannot readily obtain lane occupancy
and vehicle lengths. Similarly, detection of stopped vehicles or
very slowly moving vehicles is difficult. A second type of radar
detector transmits a signal that is swept over a range of frequencies.
This technique measures the range to the vehicle and thus can detect
presence.
Radar detectors of the Doppler and swept frequency
variety require one antenna per lane, mounted on a structure or
a sign bridge over the lane. If such a mounting arrangement is not
available, the installation cost is significant when the sign bridge
is included. The IVHS Detection Technology project early results
show that these radar detectors have an accuracy within the range
from +0.5% to +6%.
Another type of radar detector can be mounted at
the side of the road and scan up to twelve lanes from one location.
Since light poles and utility poles are often available, or can
be readily installed, the device is more cost effective. The device
can also detect vehicle presence, and is thus able to determine
occupancy and existence of stopped vehicles. However, it does not
measure speed directly, relying upon the standard "single loop"
speed estimation equation based upon average vehicle length. The
accuracy of this device is in the +5% range.
The advantages of radar devices are that it is easy
to use and requires no cutting of pavement or disruption of traffic
flow for installation or maintenance (if mounted on a structure
or sign bridge where overhead access is possible). For the Doppler
units, direct speed measurement is a significant benefit. Similarly,
when traffic lanes are relocated, radar antennas can be easily re-aimed.
The disadvantages of radar are the requirement for a structure or
sign bridge for overhead mounting, the limited field operational
experience, the small number of vendors in the market, and the difficulties
of accurately sensing lane occupancy and slow moving or stopped
vehicles with the Doppler units.
Cost per Lane: $314
These sensors operate on the same principles
as Doppler radar, except that they emit sound waves with frequencies
between 20 and 200 KHz, which are above the human audible range. They
are pressure waves that travel through the air at about 740 mph at
sea level. They can measure speed, occupancy, presence, and, in some
configurations, queue length. Because of the complexity of the returns
from moving vehicles, the effective range of the sensor (around 40ft)
is smaller than the microwave detectors.
Because ultrasonic waves propagate through the air,
they are subject to attenuation and distortion from a number of
environmental factors including changes in ambient temperature,
air turbulence, and humidity. Nearly all targets reflect ultrasonic
sound waves, but textured or porous surfaces produce a weaker echo.
Vehicle profiling can be achieved by installing a pulsed ultrasonic
detector above the roadway. The vertically aligned (downward looking)
transducer measures wave travel time to the pavement or to the top
of passing vehicles. A fast pulse repetition rate (~13 Hz) allows
a minimum of 2 to 3 measurements with up to 1" resolution to be
made. Excellent classification performance can be achieved for most
vehicle types, though the sensor can have difficulty differentiating
between cars and vans. Air turbulence and temperature adversely
affect performance.
Ultrasound detectors have no moving parts so they
tend to be reliable, durable and require little maintenance. They
are also small and can be sited permanently or used as a portable
unit.
Cost per Lane: $644 (1999)
This detector is usually configured as a vertical
dipole array of microphones, which "listen" to noise produced
by approaching vehicles. The time delay between the arrival of sound
at the upper and lower microphones changes with time as the vehicle
emitting the sound passes under it. When the vehicle is distant
from the microphones the sound arrives almost instantaneously at
both phones. When the vehicle is under the microphones, sound reception
at the upper microphone is delayed by the intersensor distance.
Vehicles are tracked using cross-correlation between phones, and
the best results are achieved when the data is filtered to a bandwidth
of 50-2000Hz. In this band frequency content includes both engine
and tire noise (though most of the acoustic noise is produced by
the tires). Interference between the noise of multiple vehicles
is a key limitation to acoustic technology. Performance is also
affected by low temperatures, snow and very dense fog which can
muffle sound and lead to undercounting.
Cost per Lane: $486 (1999)
Minnesota Guidestar Program
System Description:
There were eight technologies evaluated in this
project:
- Passive Infrared
- Active Infrared
- Passive Magnetic
- Radar
- Doppler Microwave
- Pulse Ultrasonic
- Passive Acoustic
- Video
Evaluation of each technology's data collection
capabilities covered both the quality and types of data collected.
Emphasis was placed on urban traffic conditions, such as heavy congestion,
and locations that typify temporary counting locations, such as
48-hour or peak hour counts. The evaluation also focused on the
ease of system setup and use, general system reliability, and system
flexibility. The performance of the technologies was evaluated
under the extreme weather conditions found in Minnesota over the
year. The technologies were evaluated at both freeway and intersection
locations to provide a variety of traffic conditions.
Data were collected in both 24-hour and multiple
week continuous test periods. When evaluating the various technologies
it is important to examine the specific test conditions because
the test periods included multiple mounting locations and test conditions
over the year.
Conclusions:
- Most of the devices tested in this project
are well-suited for temporary counting situations. Ease of installation
and flexibility in mounting locations and power supplies are important
elements in selecting a device to install quickly and move from
location to location.
- The devices that use Doppler microwave,
active infrared, and passive infrared technologies have a simple
"point-and-shoot" type of setup.
- Passive magnetic, radar, passive acoustic
and pulse ultrasonic devices require some type of adjustment once
the device is mounted. In most cases this adjustment must be performed
over a serial communication line.
- Video devices require extensive calibration
over serial communication lines and are not well-suited for temporary
counting.
- Extensive installation work is required
for video and passive magnetic devices, making them less suitable
for temporary data collection.
- From an overhead mounting location at
the freeway test site, the video and passive acoustic devices
have been found to count to between 4 and 10 percent of baseline
volume data.
- Pulse ultrasonic, Doppler microwave, radar,
passive magnetic, passive infrared, and active infrared have been
found to count within 3 percent of baseline volume data.
- The count results are more varied at the
intersection test site. The pulse ultrasonic, passive acoustic,
and video devices were generally within 10 percent of baseline
volume data while one of the passive infrared device was within
5 percent.
- Speed data were collected from active
infrared, passive magnetic, radar, Doppler microwave, passive
acoustic and video devices at the freeway test site. In general,
all of the devices were within 8 percent of the baseline data.
Radar, Doppler microwave, and video were the most accurate technologies
at measuring vehicle speeds.
- Video and radar devices have the advantage
of multiple-lane detection from a single unit. Video has the additional
advantage of providing a view of the traffic operations at the
test site.
- Weather variables were found to have minimal
direct affect on device performance, but snow on the roadway caused
some vehicles to track outside of their normal driving patterns,
affecting devices with narrow detection zones.
- Lighting conditions were observed to affect
some of the video devices, particularly in the transition from
day to night.
- Extremely cold weather made access to
devices difficult, especially for the magnetic probes installed
under the pavement.
- Urban traffic conditions, including heavy
congestion, were found to have little affect on the device performance.
There are ongoing developments in non-intrusive
vehicle detection technologies. Devices are now available that incorporate
multiple technologies within a single device. Developments in other
technologies, such as passive millimeter microwave and infrared
video, will produce additional entries into the market. At the same
time, existing technologies are continually being improved upon.
Bahler, Stephanie. Kranig, James. Field Test
of Non-Intrusive Detection Technologies. Office of Advanced
Transportation Systems, Minnesota Department of Transportation,
Minneapolis, MN, 1998.
Detection Technology for IVHS: Volume 1, Final Report
Addendum. FHWA, 1995. Link
to Report
Evaluation of Non-Intrusive Technologies
for Traffic Detection. Minnesota Department of Transportation,
Office of Traffic Engineering/ITS Section, October 2001. Link
to Report
Field Test of Monitoring of Urban Vehicle
Operations of Non-Intrusive Technologies. US DOT, FHWA, 1997.
Link
to Report
Freeway
Management Handbook
Middleton, Dan. Jasek, Debbie. Parker, Ricky. Evaluation
of Some Existing Technologies for Vehicle Detection. Texas Transportation
Institute, Austin, Texas, 1998.
Steinbach, Bertrand. Non-Intrusive Traffic Detectors.
ASIM Technologies, Ltd., 1998. Link
to Report
Author: Dimitri Loukakos. Last update: 12/20/01
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