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Longitudinal collision avoidance
technologies address rear-end and backing collisions, which
can happen when a vehicle is following too closely for the driver
to react to sudden braking by the lead vehicle, or when
a vehicle backs into an object or vehicle. Rear-end
collisions are
very
common,
representing
about
30% of
all collisions
between vehicles and 5.2% of fatal collisions nationwide.
The National Highway Traffic Safety Administration (NHTSA) estimates
that about 88% of rear-end collisions in the United States are
caused by driver inattention or by vehicles following too closely.
Backing collisions,
which usually occur at lower speeds, typically involving parking
maneuvers. They
consist of about 2.1% of all crashes, the majority of which are property damage
only.
The fact that such a large percentage of longitudinal collisions
are due to driver inattention or misjudgment, and the relatively
simple technology needed for forward- and backward-looking detection
suggest a large potential gain from successful implementation.
Additionally, reliable rear-end collision avoidance technologies
are the first step towards achieving a reliable and safe system
for "smart" highways, or electronic "tow-bars," which
would allow closer following and increased capacity of existing
roadways.
These technologies are also being developed in connection with
transit applications, which would permit precision docking and
greater automation of
buses, enabling closer to rail-quality service without rail's
accompanying high infrastructure investments.
Finally, backing
systems, such as a parking-assist technology introduced by
Toyota at the end of 2003, could reduce congestion by speeding
up the
parking process and possibly increase parking capacity by allowing
closer spacing of vehicles.
A collision avoidance system generally
operates in the following manner: a sensor installed at the front
or back end of a vehicle constantly
scans the road
for vehicles
or obstacles. When one is found, the system determines whether the vehicle
is in imminent danger of crashing, and if so, a warning is issued, or a collision
avoidance maneuver is
undertaken, depending on the system.
Systems are predominantly autonomous, where detection
is independent of whether other vehicles on the road are equipped with
collision avoidance devices; but can be cooperative, where
detection relies on vehicle-to-vehicle or vehicle-to-infrastructure
communications to exchange information on the vehicle’s presence,
location, lane of travel, and speed, among other factors.
The typical criteria for activation of collision
avoidance are:
- Time-to-collision: the system determines whether a collision
is likely to happen at prevailing speeds and distances within
a certain
time interval.
In a car-following situation, the time-to-collision is the time
taken for the two vehicles to collide if they maintain their
present speed and heading and
- Worst-case scenario: the system assumes that the lead vehicle
could brake at full braking power at any time. In essence,
it maintains a "critical clearance," the
minimum distance necessary to come
to a stop
in the event
the leading car
suddenly brakes.
Warning devices include:
- Visual heads-up displays
on the windshield in the driver's field of view, so that their
content
can be assimilated
in conjunction with the
driving scene ahead. These displays are intended to minimize
distraction from driving tasks, in addition to ensuring that
the warning does not
go undetected.
- Audio signals: in comparison to visual signals, auditory
signals appear to be less intrusive. They also can operate even if lighting
is poor or the windshield is obscured.
- Haptic devices, which use tactile cues, such as vibrations
or stiffening of the speed controls.
- LED displays: these have been pilot tested in 2003 on a system
devised for bus drivers.
Early research was done on a
variety of sensor technologies, including passive infrared, laser
radar,
and video detection. One of the more promising avenues seems to
be combining various technologies into what is called "sensor
fusion."
Demonstration in August 2003 of
some key technologies for precision docking, automated lane-keeping
and
other operations.
Sensing, actuation, communication and computation systems permit
fully automated operation.
In March 2003, GM and Delphi
Delco launched a 10-month field test, carried out by the University
of Michigan Transportation Research
Institute, in which
a group of Michigan drivers tested 10 Buick LeSabres
equipped with collision warning systems. The testing used sensor
fusion. This
entailed the
use
of a GPS digital map to locate the vehicle and its direction
of travel on a map,
a forward-looking
machine-vision system using lane markings to estimate
the road geometry ahead
of the vehicle, and radar tracking that uses the trajectories
of tracked vehicles ahead to determine if there is a pattern that may
indicate the
upcoming road
geometry. The system also included a heads-up display,
which issued
visual and audible warnings the closer the car came to a potential
impact.
Adaptive cruise control uses
the same sensors as the forward collision warning system, including
the radar
sensor mounted
at the front
of the car to detect
objects in its path. If the lane ahead is clear, the
system maintains the set speed, akin to conventional
cruise control.
When a vehicle
is detected
directly
ahead of the car, the system adjusts vehicle speed
to maintain a driver-selected
clearance
from the vehicle
ahead.
This technology
is now offered in select models.
Honda Motor Company has
developed a Collision Mitigation Brake System that predicts
rear-end collisions and assists brake operation
to reduce the impact.
The system determines the likelihood of a collision based
on driving conditions, distance to the vehicle ahead,
and relative
speeds,
and uses visual and
audio warnings to prompt the driver to take preventive
action. It can also initiate
control assistance, braking to reduce the vehicle's speed. Honda
will offer the system in one model on the Japanese
market in June 2005.
In late 2003, Toyota announced
a Toyota Prius that has the ability to "park itself," using
an assistive system. Electronically
operated power steering
and sensors help guide the
car when reversing into parking spaces.
The original
CHAUFFEUR
1 project successfully demonstrated the electronic coupling
of two trucks, using an electronic "tow-bar." CHAUFFEUR
2 demonstrated the
CHAUFFEUR Assistant, a
system that transfers to all vehicles by interoperable
system functions. The system
is a combination of smart Adaptive Cruise Control (for
shorter distances) and vision-based lane keeping.
CHAUFFEUR also demonstrated platooning, another extension
of the tow-bar technology that allowed it to tow more
than one vehicle.
Three-truck platoons
were demonstrated.
Implementation
of platooning, however,
is
expected to take more time – as this type of trucking
operation may only be practical on dedicated truckways,
which are not widespread.
"Advance Collision Avoidance
Field Test Launched in Michigan," IVSource.net,
March 29, 2003.
Balvanyos,
Tunde, et al. "SmartBRT: A Set of Planning, Analysis and Evaluation
Tools for Bus Rapid
Transit:
Final Report Year 1 of 2." California
Partners for Advanced Transit and Highways research report. http://www.its.berkeley.edu/publications/UCB/2003/PRR/UCB-ITS-PRR-2003-07.pdf
Bonnet, C. et al. "Fuel Consumption
Reduction Experienced by Two PROMOTE-CHAUFFEUR Trucks in Electronic
Towbar Operation." Report from ITS Benefits and Costs Database
(US DOT). http://www.benefitcost.its.dot.gov/its/benecost.nsf/0/80B3FD71200FCBBD85256AE70044B0F2
"Chauffeur Shows
Off: Demos of Electronic Tow-Bar Functions Dazzle Crowd in Italy." IVSource.net.
June 14, 2003.
Frye, Cathy. "International Cooperation
to Prevent Collisions at Intersections," Public Roads Magazine,
July/August 2001. Vol.
65. No.
1
"Honda Introduces World’s
First Collision Avoidance Mitigation System," IVSource.net,
June 20, 2003.
"Hitachi Unveils New Radar
for Next Generation Eaton VORAD ACC," Ivsource.net,
October 9, 2000.
Shladover, Steven E. "PATH
Demonstrates Automated Bus Rapid Transit Technologies," California
Partners for Advanced Transit and Highways, Online report "Featured
Research,"
Spring 2004. http://www.path.berkeley.edu/PATH/Research/Featured/102803/san-diego.html (accessed
April 16, 2004).
Author: Terri O'Connor
April 2004
Last updated
April 19, 2004
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