Computerized Accident Reconstruction
Damage Patterns on Motor Vehicles:
Computers
have affected the way we do business, and the area of automobile accident
reconstruction is no exception. The United States Department of Transportation
has developed several computer programs for automobile



Figure 1
accident
reconstruction. One of these computer programs is called Calspan Reconstruction
of Accident Speeds on the Highway or CRASH for short. This computer program
calculates the impact speeds and changes of vehicle velocity during an
accident.
Figure 1
shows typical information that is fed to the computer. The scene information
describes to the computer the locations of the vehicle rest position, the
expected impact position and direction of rotation. Next information must be
supplied to the computer concerning the characteristics of the vehicle (weight,
stiffness, model) as well as measurements of vehicle crush. The crush depth
along the damaged portion of the automobile is indicated by the variables C1
through C6. So in Figure 1, L indicates that the damage width is 65 inches
while the crush depths vary from 33 inches to 44 inches. The photograph in Figure
1 shows typical measurement of crush depth. Finally, the last piece of information
supplied to the computer describes the frictional properties of the road at the
time of the accident.
Figure 2
is the computer printout of the accident reconstruction. Under the printout for
vehicle number 1, the impact speed was 44 mph forward and 14.3 mph laterally or
to the right. This indicates that vehicle number 1 was attempting to turn right
to avoid the collision. The printout for vehicle number 2 shows a forward speed
of -2.2 mph which means the vehicle is moving backwards at 2.2 mph and a
lateral speed of 46 mph to the right, which means that vehicle number 2 was in
a sideways skid at 46 mph at impact. The speed change calculations indicate the
severity of the crash and are often used in determination of the chances of
occupant survival.
The
CRASH computer program is available from the National Technical


Figure 2
Information
Service and is also available from private software vendors.
The CRASH computer program is based on
Motor vehicle accident reconstruction is performed to determine how an automobile accident occurred. It may be the primary means of explaining what happened or a complement to eye witness testimony. An important ingredient in accident reconstruction is the analysis of damage patterns on the vehicles involved. Vehicular damage can yield information as to direction of impacting forces, orientation of vehicles at impact, the nature of the other vehicles or objects in the case of a hit and run, or as an indicator of injury severity.
Accident reconstructionists utilize damage pattern information to help determine the velocity change, an indicator of the severity of the accident. The velocity change is defined as the velocity of a vehicle before the impact minus the velocity of the vehicle after impact. This is often called DV (delta V) meaning a finite change as derived from differential calculus. If a vehicle is traveling 20 miles per hour and strikes a solid wall such that the velocity after impact is zero, then the velocity change is 20 miles per hour. If a tractor semi-trailer unit is traveling on an interstate highway at 60 miles per hour and strikes a pedestrian, the tractor trailer may slow to 59 mph while the pedestrian will accelerate from 0 to 59 MPH. The semi has a velocity change of 1 mile per hour, hardly damaging to a semi, while the pedestrian sustains a velocity change of 59 miles per hour, usually fatal to a pedestrian. (See Computerized Accident Reconstruction, Page I-3 for numerical calculations of DV).
The following is a review of several examples of vehicle deformations from accidents, along with a qualitative assessment of velocity change.


Figure 1
Figure 1 is a view of the typical "fender
bender" frontal impact with a non-compliant object such as a pier used to
support a light pole. The force causing the deformation is from the
Figure 2 is a view of the other extreme, a high speed
impact with a relatively non-compliant embankment. In this single vehicle
accident, severe deformation is noted on the left front of the vehicle, indicative
of high velocity change. The principle force direction is from the

Figure 2

Figure 3a


Figure 3b
Figures 3a and 3b show views of a typical sideswipe
accident. The left side of the vehicle in Figure 3a has contacted the left side
of the vehicle in Figure 3b near the wheel well. Despite the long damage
pattern on the left side of the vehicle in Figure 3b, this is a low velocity
change accident since relatively little vehicle velocity is exchanged for
crush. The principle force direction is from the
Figures 4a and 4b show the outcome of an off-set frontal impact accident.


Figure 4a

Figure 4b
Damage patterns show severe crush of engine compartments
nearly halfway to the bulkhead or fire wall. This is a relatively high velocity
change accident. The force direction is from the
Figure 5 shows the typical perpendicular impact, often called the "T-Bone" impact. Vehicle number 1 has impacted number 2 with high velocity change in

Figure 5a


Figure 5b
each case. The force direction is from the
Figures 6a & 6b show the classical rear end impact
where vehicle number 1 has rear ended vehicle number 2. This one is a
relatively low velocity change impact with the force directions from the

Figure 6a


Figure 6b

Figure 7
Figure 7 shows the typical
under-ride accident. During this type of accident, the upper softer structure
of the vehicle absorbs the impact as opposed to the lower, stiffer structure.
There is often significant penetration into the occupant compartment and
serious injury or death. Despite the severe damage to the vehicle, under-ride
accidents are often low velocity change when only the upper vehicular structure
is involved. Here the force direction is from the

Figure 8
Figure 8 shows deformations resulting from a roll-over. Roof crush is significant on the right, indicating an impact point during roll-over. Severe scraping on the roof is another indication of a roll-over. Velocity change is not often analyzed on roll-overs since the process of rolling does not decelerate the vehicle in the typical 200 millisecond crash duration found in other types of impacts. Occupant injuries usually result from repeated impacts with the vehicle interior over a period of seconds and from possible expulsion from the vehicle.
Figure 9 is a view of a dump trailer showing severe deformations to the frame and severe deformations to the front of the dump box. The vehicle was traveling at about 55 MPH on an interstate highway when the dump box began to rise as the vehicle approached an overpass. The front of the dump box struck the overpass while in the raised position, tearing it loose from the fifth wheel. Because of the massive overpass,

Figure 9
the dump box stopped immediately (DV of approximately 55 MPH). Even though vehicles were trailing at a “safe distance” behind the dump box, impacts did occur with the dump box. Most safe following distances assume that the vehicle in front has a finite stopping distance similar to the following vehicle. When the stopping distance is very small, as in this case, an impact can occur even when following at a "safe distance."

Figure 10
Some accidents involve vehicles with substantially different weights. Figure 10 shows a school bus after impact with a bicycle with the bicycle engaged under the bus frame. There is virtually no damage to the bus, while the bicycle is severely damaged. Velocity change calculations are difficult in this case, since impact deformations to the bicycle are eclipsed by more severe deformations from crush from the bus undercarriage.
Figure 11 is the classic utility pole impact deformation.

Figure 11
Damage patterns on motor vehicles are often indicative of the velocity change sustained during an accident. Accident reconstructionists use this information to calculate impact speed and orientation of vehicles. Claims personnel can significantly contribute to an accident investigation by using good photographic techniques. Photographic frontal and side views of the vehicles using a 35 mm camera are very helpful to the accident reconstructionist after the vehicles have been salvaged. It is very discouraging to analyze an accident several months after a loss using a few "fuzzy" photographs from an instant camera.
Damage patterns on vehicles tell a story as to accident dynamics. An inspection of vehicular damage by claims personnel may support or conflict with versions of how the accident occurred. Damage patterns on vehicles also help explain deployment or non-deployment of an air bag.
Damage pattern analysis is useful in hit and run cases where the offending vehicle is unknown. Interpretation of impact damage is often a deciding factor between denying or extending coverage.
Truck
accidents often result in considerable property damage because of their size
and the value of cargo transported, not withstanding personal injury. When
working a file involving a truck accident, an assessment of the probable cause
of the accident will be essential to the final report. The following is a review
of typical causes of truck accidents and some comments that may help in
formulating a report.
Automobile driver error: Truck accidents have occurred when
automobiles collide with trucks as a result of failure to yield, driving under the
influence, and inattentive driving. The police report, statements, photographs
of the accident scene, photographs of the vehicles and an accident reconstruction
may be helpful.
Truck driver error: Truck accidents have occurred as a
result of drivers falling asleep, driving under the influence of alcohol (and
sleep inhibiting drugs), insufficient training, improper vehicle handling
procedures and inattentiveness.

Figure 1
The
vehicle shown in Figure 1 was damaged as a result of improper vehicle handling.
Driver's log, medical reports, police reports, statements, photographs and an
accident reconstruction may help piece together what happened. In one instance
a driver upset a large dump trailer causing a large loss. It was later determined
that the driver attempted to dump the load with the tractor in a jackknifed
position contrary to accepted practices and manufacturer’s recommendations.
Load Shift: Trucks carry large loads that are
required to be properly secured to the vehicle. In some instances due to chain
failure or dunnage compression, the securing straps or chains may loosen,
allowing the load to shift. If the truck stops suddenly or goes around a corner,
an upset may result with considerable

Figure 2
property
loss and personal injury. Figure 2 is a view of a load shift related accident. Photograph
the accident scene and cargo. Take measurements of the rest position of the
truck and cargo for accident reconstruction. Save pieces of packing material
that may show improper packaging. The accident may have been caused by an
improperly packaged or secured load.
Brake Failure: Brake failure can occur as a
result of poor maintenance, corrosion or mechanical failure. A detailed inspection
of the brake system is necessary to determine the existence of a fault in the
brake system. Figure 3 is a view of

Figure 3
an
inspection of a truck brake system that was found to be improperly adjusted and
a cause of an accident. Inspect and photograph brake components as soon as
possible. Operate the brake system, if possible, by pressurizing the receiver
tank and look for push rod actuation from brake chambers. Save failed parts
removed from the system. In one instance, it was discovered by inspection that
three of the four brake assemblies on the tractor were improperly adjusted.
Only one brake was doing all the work, which was adequate for typical braking.
However, during an emergency stop, insufficient braking was available, resulting
in personal injury and significant property loss.
Tire failure: Blowout of a tire, especially a
steer tire on the tractor, may result in loss of vehicle control and an accident
as shown in Figure 4. Save the tires for a tire expert to determine if the tire
failure is a result or cause of the accident. Photograph the accident scene and
the vehicle since this helps the tire failure analyst in the determination of
the probable failure cause.
Mechanical failure: Mechanical failures due to corrosion,
such as the failure

Figure 4

Figure 5
of the
truck frame in Figure 5, improper maintenance, design defects and production
defects do occur. Good photographic documentation is very helpful in the
failure analysis. Since truck components are very large, it may be impractical
to remove them immediately to storage. Obtaining statements on how the accident
occurred, reviewing manufacturer's recall notices and inspecting a similar
vehicle can yield important information for the report.
Response time is the total time it takes for a vehicle driver to perceive, evaluate, decide and react to a situation on the roadway. Since vehicle driver response time can be as long as 2-4 seconds, highway designers, accident reconstructionists and the courts take this into account. A highway designer allows several seconds of unobstructed view of a traffic control sign, giving time for the motorist to respond to the sign information. An accident reconstructionist utilizes response time to explain why an accident occurred, i.e.: a bicyclist suddenly pulled in front of an automobile, giving insufficient time for the motorist to respond and avoid the accident. The courts are interested in apportioning liability to various parties in a legal action based on response time. At issue, of course, is the question, "Was there sufficient time to avoid an accident?" Claims professionals deal with this issue on a daily basis. Claimants often argue that the insured caused an accident by giving little time to respond. Other losses involving personal injury and property may be a consequence of a vehicle traveling at a high rate of speed leaving insufficient time to respond to road situations.
Like many other human characteristics, response time is a highly variable quantity. For the same road hazard, the response time of vehicle drivers varies markedly as a function of age, time of day, weather conditions, chemical ingestion, and fatigue. For a given driver, response times vary depending on type of hazard.
The studies of psychology and ergonomics have delved into the intricacies of how a person responds to stimuli. Current thought considers response time to be a summation of times required to activate biological functions. For instance, if one views a hazard on a roadway, there is a time required for conversion of the optical image into a nerve impulse, time to transmit a signal along a nerve to the cerebral cortex, time for processing of the signal by the brain, time for transmission of a signal along a nerve to musculature and time delay of muscle response. The sum total of these times is often called the response time, a term often confused with reaction time.

Figure 1
Figure 1 shows a driver sitting at a test apparatus that evaluates reaction time. As soon as the light turns red on the console, the driver releases the accelerator and applies the brake. The reaction time is measured. This form of testing is often called simple reaction time, as it is a result of a single stimulus, the red light. Reaction times are typically on the order of 3/4 of a second. However, response times are more complex and can be as high as 3-4 seconds. So what makes up the difference? The answer is the perception/decision time. The following equation shows the components of response time:
Response time = “Perception/Decision” Time
+ Reaction Time
The “perception/decision” time is the time it takes to view a hazard and figure out what to do about it. The reaction time is the time it takes to perform a particular function once a decision has been made. The response time for removing one's hand from a hot skillet is relatively quick and is on the order of about a half second. In this example, a natural response to excessive heat bypasses the visual sensors, allowing for a quicker response time. Driving an automobile requires a high degree of visual processing, which tends to extend response times.
McGee et. al. (1) reported that perception time is the sum of eye movement time, fixation on the hazard time delay, recognition time delay and muscle response delay time. They found that for the 85th percentile of drivers, eye movement delay was 0.09 seconds, fixation delay time was 0.20 seconds, recognition delay time was 0.50 seconds, decision time 0.85 seconds, muscle response delay was 0.31 seconds and brake reaction time was 1.24 seconds. The sum total of these times, the response time, was 3.19 seconds. The 85th percentile is often chosen as the upper bound for design analyses.
Many such studies assume that each of the component times are additive to form the total response time. Some investigators report that in many situations, parallel processing occurs, indicating that some of the component activities may be occurring simultaneously, reducing the calculated response time. Also, the type of hazard being recognized plays a major role in response time. For instance many laboratory tests involve a person sitting at a vehicle simulator waiting for a light to signal when to press the brake pedal. This type of testing usually results in short response times since the participants know what to expect and are ready. Contrast this with a driver cresting a hill and viewing a semi-tractor trailer rig broken down in the right lane of traffic, in a no parking area without signals or markers deployed. At the time of initial visual fixation, it may not be obvious that the vehicle is not moving, which may extend the perception/decision time significantly.
Figure 2 is a view of an accident scene showing long tire marks and an impact point at an intersection. Vehicle number 2 had driven across the roadway and was struck by vehicle number 1. The tire

Figure 2
marks of vehicle number 1 prior to impact measured 234 feet in length. The distance from the crest of the hill was 500 feet. The speed limit was 45 MPH. If vehicle number 1 had been traveling the speed limit (45 MPH, 66 ft/sec), it would have taken approximately 7 seconds to reach the stalled truck, if no braking occurred. Being a clear day with ideal road conditions, a response time of 3 seconds would appear attainable. Consequently as vehicle number 1 crested the hill (assuming a 45 MPH speed), approximately 198 feet would be traveled before active braking occurred, with 302 feet left in which to stop. At a speed of 45 MPH, assuming a drag coefficient of 0.6 (a typical value for dry asphalt), the vehicle could be brought to a stop in approximately 114 feet, which is well within the 302 feet available. Therefore, if the vehicle had been traveling at the speed limit, the accident would have been avoidable. The 234 feet of tire mark suggests that the vehicle was traveling at a minimum of 64 MPH (94 ft/sec) at the beginning of the tire mark (again using a drag coefficient of 0.6). Assuming a response time of 3 seconds and a speed of 64 MPH, approximately 282 feet were traveled by vehicle number 1 before brake application occurred. The remaining distance of 218 feet was not sufficient to stop before contacting the stalled truck. Consequently, if the driver of vehicle number 1 had been traveling the speed limit, the accident probably would not have occurred. The stalled truck, crossing the intersection, is an obvious hazard and it can easily be seen that the vehicle is not moving.
Figure 3 shows a slightly different scenario. A tractor trailer rig has broken down on a two lane highway with no markers or emergency lighting activated. The speed limit is 45 MPH. The distance from the crest of the hill to vehicle number 1 is 300 feet. From the rear, it is not obvious that the tractor trailer is stalled since no markers or warnings are deployed. Using a response time of 3 seconds, vehicle number 1 would have traveled approximately 198 feet (at 45 MPH) before brake application leaving 102 feet remaining for stopping. The stopping distance at 45 MPH is approximately 114 feet, not enough distance to stop without impact with the truck. One may argue that a 3 second response time is excessive and that perhaps a 1.5 second response time is

Figure 3
more realistic. However, the one complicating factor in this accident scenario is the non-obvious nature of the parked tractor trailer rig. Without warnings deployed, there may be difficulty in the determination of whether the vehicle is moving or not. This can significantly extend the perception time, such that a 3 second or higher response time would be reasonable.
A little more skill is required to operate a motorcycle when compared to an auto-mobile, consequently the separate licensing requirements in several states. In sudden hazardous situations, “slamming” on the brakes can have a detrimental effect, often causing the motorcycle to fall to one side or causing the operator to be catapulted over the handlebars. Consequently, application of the rear brake only is a prudent means of avoiding an accident when driving a motorcycle. The decision to use rear brakes only can increase response time. Also with only the rear brake being activated, the stopping distance increases since about 50% braking is being applied. What may be an appropriate response time and stopping distance for an automobile may not be appropriate for a motorcycle.
It has been well documented that visual functions decrease in proportion to decreasing illumination. Dirt on headlamps and crazing of windshields over time also aversely affect visual acuity. Headlight alignment greatly affects the perception of pedestrians as well as other vehicles.
A person's age affects response time with increases being most notable in the later years. An example of an age effect is the need for reading glasses or bifocal lenses. The growing inflexibility of the lenses in a person's eye causes this condition (presbyopia). Visual acuity typically peaks at about age 15 and declines to about 33% of the highest value at age 80 (Reference 2). The elderly have been found to be much more adversely affected due to their loss of acuity and other visual functions. Typical studies show reactions times of drivers near the age of 70 increase by approximately 20% over those for age 20 (Reference 3).
Chemical usage has been shown to have a substantial effect on response time. Reference 4 reports that at a blood alcohol content of 0.02% by weight, the average increase in errors in simulated driving is approximately 6 in the particular study. At a blood alcohol content of 0.08%, the average increase in errors in simulated driving is approximately 25 in this particular test. Therefore, the simulated driving error rate at 0.08% blood alcohol content was 4 times that at 0.02%, indicating that, despite the fact that a driver may have a blood alcohol level below a legal limit, there is still an effect on the response time.
Reference 5 reports that the average reaction time for women was approximately 15% longer than for men.
What can be gleaned from the previous discussion is that response time is a distributed quantity because of variability in people, as well as in situations that require a response. The accident reconstruction community often assumes a maximum 2.5 - 3.0 second response time. This may be applicable for most accidents with obvious hazards. Other accidents involving less defined or confusing hazards may result in longer response times. Other factors extending response time are age, time of day, gender and chemical usage, suggesting that response time is typically characteristic of a particular set of circumstances encountered in an accident.
1. McGee,
et. al., Highway Design and Operation Standards Affected by Driver
Characteristics, Volume II: Final Technical Report, Bellomo-McGee, Inc.
2.
Verriest,
G., L'influence de l'age sur les fonctions visuelles de l'homme, Bulletin de
L'Academe Royale de Medecine Bellique, 1971, 11, 527-578.
3. American Automobile Association, Traffic Engineering Safety Department, Age and Complex Reaction Time, Report No 41, 1952.
4. Barzelay
and Lacy, Scientific Automobile Accident Reconstruction, Matthew Bender,
5. American Automobile Association, Traffic Engineering Safety Department, Reaction Time as Related to Age, Report No. 69, 1966.
Some vehicular accidents are a result of road surface conditions. Potholes, road grooving, bumps and rocks are some examples of road hazards that have been know to cause accidents. Evidence of a road surface induced accident may arise from driver statements, vehicular damage and inspection of the scene. Driver

Figure 1
statements may contain claims of striking a road hazard or blaming a vehicular mishap on road conditions. The validity of the drivers’ versions of accidents should not be immediately accepted as fact by the analyst without reviewing additional data, if available. For example, if a driver claims he lost control of his vehicle because of striking a pothole, yet the road conditions were found to be extremely icy at the time, it is possible that the icy conditions alone may have been the cause of the accident. Driver statements are an important part of accident reconstruction especially when physical evidence is consistent with the statement.
Examination of the scene yields physical evidence, such as impact marks, tire marks, vehicle deformations and road irregularities. Photographs of the road irregularities help document the scene as shown in Figure 1. Photographs of damage to vehicles consistent with having impacted a road discontinuity, bolster

Figure 2
conclusions as to the influence of the road hazard. Figure 2 is a view of typical wheel rim impact damage. If a pothole is suspected of having precipitated an accident, measurement of the dimensions may be helpful. Measurement of its length along the direction of travel plus the average depth can be used to assess the extent of the hazard. Figure 3 is a graph presented in a report entitled "The

Figure 3
Influence of Roadway Surface Discontinuities on Safety,” Transportation Research Board, National Research Council, 1984. In this graph one can rate the severity of a pothole and its likely effect on an accident. Four test vehicles of various sizes were used in the referenced study to generate the graph. The relatively safe region on the graph contains length/depth dimensions that did not appear to cause handling problems or damage to the vehicle. The questionable safety zone on the graph captures length/depth dimensions that could result in vehicular damage. Finally the unsafe zone encompasses those length/depth dimensions that can produce severe damage to the vehicle or loss of control. For instance if a pothole measures 125 inches in length and 6 inches average depth, then this pothole may have had an effect on vehicular control or damage at speeds from 20 to 60 MPH. If the pothole measures 100 inches in length and 2 inches in depth, then it is unlikely that it had any effect on an accident. It is interesting to note by the graph, that a given size pothole has a larger unsafe zone for slower speed vehicles than for faster vehicles. Unlike many other highway hazards, potholes may result in more vehicular damage at lower speeds for a given pothole. This is partially a result of the response of the vehicle suspension system to the particular hole. Some pothole related accidents occur from drivers attempting to avoid a pothole without actually striking it.
“The Influence of Roadway Surface Discontinuities on
Safety,” Transportation Research Board, National Research Council,