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ACCIDENTS STUDIES AND COLLISION CHARACTERISTICS By i r . H .G . Paar and i r . L . T . B . van Kampen INSTITUTE FOR ROAD SAFETY RESEARCH SWOV, THE NETHERLANDS
1 . ACCIDENT STUDIES 1 . 1 . Def in i t i on o f acci dent study The inve s t i gation o f accidents i s the gathering, storing, adapting and analysing o f a c c ident data wi th the purpose to improve road safety. Accidents can bappen to every kind of road-user but in thi s paper mainly car acci dent studi e s are menti oned, s inc e car acc ident s , i n most c ountri e s , are re spons ib l e f or the greater part o f the traff i c casual t i e s . The human , vehi c l e and envi ronmental e l ements o f acci dents are covering the complete area of all factors concerned in acc i dent s . Result s o f a c c ident s tud i e s are directly dependant o n whi ch el ement or combinati on o f e l ements i s s tudied . A far more important and interest ing di st inct i on can be made i n the sequence of facts during actual acc idents ( c o l l i s i ons ) and therefore in the approacb of acci dent s tudi e s , as menti oned in the next paragraph .
1 . 2 . Pre crash versus crash s tudi es
The sequence o f what i s happening i n acci dent s , can be divided i n t o three main phase s : pre crash , crash and po st crash phase . In actual c o l l i s i ons these pbase s can be defined very accurately , for whi ch we have to thank the former USA Nati onal Hi ghway Safety Bureau, who i nvented the so cal l ed Program Matrix for Hi ghway Safety Research (Figure 1 ) . In thi s c e l l matrix the important areas can be easily detected. The main di st inction as far as acci dent studi e s are concerned l ays between the pre crash and the crash phase . In the pre crasb phase one i s c oncerned with accident avo i dance or rather acc i dent causat i on , since we are talking about real-acc ident studi e s . In tbe c rash phase one i s concerned with injury preventi on or rather injury causat i on . In the po st crash phase one i s concerned with injury severi ty reduct i on , or rather wi·th c i rcumstance s that have influence on injury severi ty. In thi s paragraph only the main di stincti ons between pre crash accident studi e s and crash accident stud i e s wi l l be considered.
As already stated, i n pre crash accident s tud i e s tbe i nvest igators are l o oking for acc ident causati on . Thi s i s a parti cularly tri cky f i e ld since the definition o f the a c c ident cause i s n o t a simpl e one , i f there i s any. And even then , the most important part o f accident causat i on i s contributed to the human e l ement, so far mo st studi e s agree , but thi s e l ement i s the tri cki est o f al l . Pre crash studi es
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have to deal with the most unpredi ctabl e factor i n traf fi c : the human being and i t s behavi our . Even i f those stud i e s were concerned mainly wi th vehi cLes or envi ronmental factor s , the human influence can always spo i l everything, unl e s s robot s are used for driving. Be s i de s , another very important factor in pre crash accident studi es i s the need of accurate expo sure data. Tho se are by no means easy to gather , but are abs o lute ly nece ssari ly for comparing the acc ident popul ation wi th the non acci dent popul ati on.
Crash acci dent s tud i e s are concerned wi th injury causati on . Of course there i s a human factor again in thi s area ; in fact these stud i e s are concerned mostly wi th the human e l ement , but i t i s qui te di fferent from the pre crash human e l ement . Human behavi our during the so cal l ed second c o l l i s i on (the crash phase i n whi ch the o ceupant moves rel atively to the car interior and h i t s parts of i t and becomes injured ) i s so predi ctable that already many mathemati cal ( computer ) mode l s , de-scribing behavi our , are exi stent. For the s tudy of injury causat i on , the acci dent i nve stigator needs : a description o f the acc i dent general ; a description o f the exterior and i nteri or damage to the car s ; a descripti on o f the injuries o f oc cupants or o ther road users involved . The se f i e lds are covered i n the paragraphs 2 . 1 t o 2 . 3 o f thi s paper .
lt might be strange for the study o f human tol erance data, f or whi ch IRCOBI stand s , c rash acci dent studi e s cannot give conclusive data, s ince the mi s s i ng factors in most crash studi e s are the exact decel erati ons and forces that actual ly caused the injur i e s or fatal i t i e s . In paragraph 3 "Final remarks and recommendati on s " s ome poss ible s o lut i ons to thi s probl em are menti oned.
However , crash acci dent s tud i e s do give answers to many important questi ons : 1 . They give the i njury pattern for the studi ed accident sample and
thi s points straight to the areas o f the human body that have to be protected. They a l s o give the parts of the car ( interior ) that are respons ib l e for the injuries and the se parts al s o wi l l form a pattern with main c ontributors ( l ike steering co lumn and windsh i e ld ) , that shoul d be improved.
2. Crash ac c ident s tud i e s wi l l give effects o f certain new features and improvements l ike energy absorbing steering co lumn s , padding material and the use of seat be lt s .
Mo st o f the stud i e s menti oned in the f o l l owing paragraphs wi l l be crash acc i dent s tudi e s . The authors acknowl edge however , that future pre crash acci dent studi e s , i f properly organised , might be more effect ive than crash stud i e s , s i nce the resul ts are bound to take away the cause s o f acc ident s . But for the near future , crash acci dent s tud i e s are more effective , s inc e they do n o t have to deal with . the sti l l unpredi ctable human behavi our . And even i f human behavi our during the second col l i s i o n i s not qui te uni form due to di fferences in age , sex , 1 ength, seat p o s i ti on etc . , the se data can be recorded eas i ly and the i nfluence can be analysed.
lt i s also true that, whatever ( legal ) measures wi l l be taken i n the near future , acci dents wi l l go on happening and therefore studi e s into injury reduction are neces sari ly.
1 . 3 . Class i f i cation o f acci dent stud i e s by gual i ty/guantity rat i o
The perfect acci dent study covers a l l acc idents o f a certain country in a certain t ime and gives complete indepth informati on on all o f these acci dent s . Both quantity ( the amount o f di fferent cases or accident s ) and qual i ty (the amount o f d i fferent data for each case and the ir degree o f rel i ab i l i ty ) have t o b e 1 00% for the perfect acci dent study. Of course thi s i s a non-exi stent s i tuati on, even in the smal l e st countr i e s . Generally spoken qual ity and quantity are inversely proporti onal to each other . A study with the h i ghest quanti ty (a l l acci dents that happened during a c ertain time ) wi l l have the l owe st qual ity . The studying o f a nat i ons acci dent stati sti c s might be cal l ed such a high quanti ty/l ow qua l i ty study. In such a i nve stigati on the. gathering o f the data i s n ot part o f the acci dent study, s i nce i n most countri e s tho s e data are gathered primarely for general purpose s . I n most realacci dent stud i e s the se general acci dent stat i st i c s wi l l form the reference material to whi ch the study sample can be compared and adjusted. An example of the other extreme i s the indepth mult i-d i s c i pl i nairy study o f a smal l number o f spe c i f i c acc i dents wi th teams go ing to the scene , us ing all techni cal means to gather all ava i lable data ( l ike tape-recorders for interviewing and reporting, and camera ' s for the recording o f car damage etc . ) , thus resulting i n a l ow quanti ty/high qual i ty study. Even the best teams , or better just the best teams , cannot gather much more than about 50 accident cases a year , as pract i ce o f many acci dent teams wi l l have learned .
Now here we have the main prob�em related to h igh qual i ty ( i ndepth ) studi e s : the sample i s too small for any kind o f stat i st i cal analysi s . And s ince the main purpose o f acc ident studi e s i s to improve traff i c safety by it s re sults , i t i s imperative that the se resul ts are based on a stati sti cally rel i able analys i s . Even though the data themselves mi ght be very rel i abl e , the sample wi l l be nearly always too small for overall rel i abil ity and tho s e who are responsible for l egal or other traff i c safety measures need r e l iable informati on . Of c ourse thi s i s rec ogni sed by mo st acci dent i nvesti gators and sometime s increas ing the sample by studyi ng l e s s i ndepth or be i ncreas ing the number o f teams , whi ch i s a very expens ive method, i s cons i dered. For stati sti cal analysi s a minimum sample of 1 000 to 1 0 . 000 cases have to be i nve st igated, dependant on how many data relat i ons the analyser wi l l consider s imultaneously, and what l evel of r e l iabi l i ty wi l l be accepted for s i gn i f i cant di fferences . Therefore the mo st valuable acci dent stud i e s of the world have sample s of over 1 0 . 000 cas e s .
However , the i ndepth study o f acci dents mi ght b e give answers to spe c i f i c quest i ons , resul ting from l arger acci dent studi e s . Espe c ially when tho s e studies are concerned wi th one make and model
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car , sometime s even with one product i on year and with spe c i f i c defined c o l l i s i on types ( frontal only, or rol lovers only ) they might be give the exact answers that the i nvest igators ( o ften manufacturers ) are l o oking for , for instance an answer to the quest i on wether their steering column i s working properly in actual co l l i s i ons or not .
The qua l i ty o f big sample acc ident studi es ( 10 . 000 cases or more ) can j . vary, s ince i t i s dependent on the way the acci dent data are gathered and by whom. Data can be gathered by pol i c e , by other road patrol s , by spe c i al teams even, or they can be supp l i ed by drivers themselves as we wi l l s e e i n the examp l e s . The more di stance there i s between analyser and acci dent in terms of different reporters , the l e s s rel i able the data mi ght become . Qual i ty can s t i l l be fairly h igh as compared to i ndepth i nf ormati on , especially i f the organi sati on has been careful ly p lanned and not more i s asked for than can be gathered rel iably.
1 . 4 . Clas s i fi cation on acci dent i nvestigators
The i nves t i gati on and data reporting on one band and the data a�alysing on the o ther can be done by pebple o f d i fferent d i s c ipl ine s , as we wi l l s e e i n the examples (paragraph 1 . 5 . ) . But o f course tho se who f inally analyse the data and draw the ir conclusi ons are the ones responsibl e for the s tudy as a who l e . Obvi ous categor i e s for acci dent i nve stigating inst itute s are : 1 . Scient i f i c insti tute s , inc luding hospi tals and univers i t i e s ; 2 . Manufacturers (mostly car manufacturers ) ; 3 . Pol i c e ; 4 . Governmental resort s , excluding pol i ce and univers i t i e s ; 5 . Other inst itut e s . Another c lass i f ication i s p o s s ible a s far a s the d i s c ipl ines o f the inve st igators are concerned . Mo st current i nvest igators can be devided into three main di s c ipl ine s : 1 . Techni cal (veh i c l e and traff i c engineering ) ; 2 . Medi cal ( surgery ) ; 3 . Psycho l ogi cal (also s o c i o l ogi cal ) . In mult i di scipl inairy teams one wi l l f ind at l east i nve st igators of d i s c ipl ine 1 . and 2 . , no matter whi ch category o f inst itutes i s c oncerned . Psycho l og i st s are needed for pre crash s tudies only.
1 . 5 . Exampl e s o f important acc ident studies
The example s menti oned i n thi s paragraph are chosen for d i fferent reasons . In the f irst place all of them were completed or nearly completed and reported. In the second place they all show some interes t i ng character i s t i c s both in their organi sation and in the ir resul t s . They have been chosen out o f di fferent countri e s ; s t i l l the cho i c e i s l imited, due to l imited space for thi s paper. Six d ifferent stud i e s are described shortly i n the next paragraphs . In paragraph 2 . 4 . s ome o f the i r co l l i s i on characteri sti c s are compared.
Thi s we l l known study (ref . 1 ) i R not a current s tudy anymore , although the
results can be s t i l l very useful . Data were gathered in Sweden during 1965 and 1966 . Only Vo lvo car acci dents were cons i dered and even more than 28 . 000 cases were examined. Thi s Volvo study i s an example of a crash s tudy using compl eted que sti onaires o f drivers as bas i c material and al s o using p o l i c e and ho sp i tal reports for addit i onal information. The sample was qui te good for stat i st i cal analysi s .
The German Insurance Group , called HUK Verband, has studi ed accidents that o c curred in 1 969 and were reported to the German car insurance compani es (ref . 2 ) . A f i rst sample o f 1 0 . 271 accidents wi th o ccupant injur i e s were considered. Data were analysed by experts on car damage and injur i e s . Apart f rom data o f insurance report s , data from pol i c e and ho spital s were used. The reports yet publ i shed ( I and I I ) can be cons i dered as examples of a typi cal crash study. The materi al i ts e l f i s al s o usable for pre crash analysing. No data about the amount of work needed for thi s s tudy and the re l iabi l i ty have been publ i shed yet .
Thi s on the spot survey of acci dents i s the only typi cal pre crash acc ident invest igat i on menti oned wi thin thi s set of example s (ref . 3 ) . l t shows a l l the characteri sti c s o f such stud i e s . The sample (gathered over a seven month;; peri od ) i s too smal l f or stati sti cal purposes but qui te b ig for on the spot work wi th a team. Thi s i s the due to the fact that more than one team was ava i lable and that the working hours were 2 4 hours a day , and that not a l l a c c idents were studi ed compl etely indepth. The area was a mainly rural area around the laboratory.
Thi s acci dent s tudy o f injury and noninjury crashe s in rural Utah (ref . 4 ) i s i ntere sting becaus e the effect o f the use o f seat belts coul d be analysed in re lati on to al l crashes . The ac c idents happened from September 1966 through August 1 967 and were reported by po l i ce on spec ial forms to Cornel l ; photographs o f vehi c l e s and medi cal reports from medi cal and hospital authori t i e s were included. ACIR devel opped a system of coding the se data ; the pro c e s s ing f o l l owed the general patterns already devel opped. The samp l e contains 7 . 125 car drivers .
The re sults of thi s stati sti cal re search on the effects o f safety belts and on injury causati on have not been publ ished yet . A f inal report i s expected at the end o f 1973 . During the end of 1968 and the years 1 969 and 1 970 accidents involving passenger cars were reported t o SWOV by Dutch pol i ce and hi ghway patrol o f f i cers . The area was sel ected to represent most parts of the country. Rural and urban acci dents were reported. General acci dent data and general o ccupant data were gathered by means o f forms sent to the drivers who completed and returned the s e . Overal l response was more
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than 50% and the working sample consi sts o f 22 . 082 dr1 vers . Medi cal data were c o l l ected after the accident by a co-operating medical insti tute . Car damage data were reported by special teams who vi s ited the cars after the acc ident whenever thi s car could be found , whi ch happened in 35% o f all cas e s . In all 2 2 . 082 cases a damage report was made by the spe cial teams from the general driver data, for whi ch purpose the f orm was also devel oped. An analys i s us ing multivariate analys i s te chni c s i s carried out.
The internat i onal study whi ch i s part of the big Road Safety Programme o f the Committee on the Chal l enges o f Modern Soc i e ty o f NATO i s a p i l ot study, whi ch means that the results are not directed towards improvement of road safety primarely, but towards improvements of acci dent inve stigations method s . The purpose in the study i s the gathering o f acc i dent data (mainly crash data, but pre crash data can be examined voluntary ) by means o f on the spot examination with multid i s c ipl inairy teams . About 9 countri e s are partic ipating. Data are reported in a special c o l l i s i on forn and the study i s already on the point that f inal dec i s i ons about how to carry on in a f o l l ow up study can be made . The mo st important i tem o f thi s study, apart from the internati onal character i s the co l l i s i on analys i s report f orm, which i s s imi lar f or all parti cipating team s .
Worth menti oning are several current studie s o f the world . 1 . There is in the USA a nati on wi de tri-l evel study, in whi ch three
type s , each wi th a d i fferent qual i ty/quantity relation, are combined al l the advantage s of each seperate study. Since in 1966 the Hi ghway Safety Act and the Traff i c and Motor Vehi c l e Safety Act became operati onal , many valuabl e acci dent investigation programme s have been started i n the USA, and thi s tri-l evel programme i s one o f them . Reports on i t s indepth mul tidi sc ipl inairy team studi e s are currently avai lab l e all over the world ; mo st of the reports are deal ing with pre crash , crash and post crash factors s imultaneously. 2 . Another interesting "mul tidi sciplinairy" study i s formed by the
c ombined e fforts of Wayne State University , USA ( Pro f . Patri ck ) and Volvo Sweden. From thi s investigati on i s not much informati on avai labl e . Purpo s e o f thi s study i s the determinati on o f human tol erance data by the combined methods o f actual accident inve stigati on and tests in the laboratory. 3. NATO - CCMS, already menti oned, i s carrying more pro j ects in whi ch
many countri e s o f the wor ld ( including Japan and Sweden, being no NATO countri e s ) are partic ipating . Worth menti oning i s the Experimental Safety Vehi c l e ( ESV) programme, in whi ch many acci dent studi e s were carried out by manufacturers or others . 4 . Many other institutes , all over the world , are working on the i r own
acci dent inve stigati on programme and i t i s one o f the aims o f thi s paper that more co-operation wi l l be reached � since i t i s proved that i t can be done . ( See the NATO - CCMS example ) .
2 . COLLISION CHARACTERI STICS In the first three paragraphs of thi s chapter , data needed for accident investigation are discussed. In paragraph 2 . 4 s ome of the actual c o l l is ion characteristic s o f the 6 main examples ,ment ioned in 1 . 5 , wil l be compared, or at l east put next to each other .
2 . 1 . Data c la s s i f i cation
Data needed for accident investigat i on can easily be' div±ded into three main categories : 1 . General accident and occupant data; 2 . Car ( damage ) data ; 3 . Injury data. For crash ac c ident studies a l l three categorie s of data are needed ; for pre crash s tudies detailed data are needed o f category 1 , including a des cription of the maintenance condition of the car before the accident . In the next two paragraphs , data needed for crash accident s tudies are dealt with .
2 . 2 . Review of important data and the ways of obtaining them
General accident data date and l ocation of acc ident overal l c o l l i s ion type ( frontal , s i de , etc . ) c o l l i s ion s equence description ( c onfiguration ) col l i s ion speed and/or driving speed before the accident .
General occupant data ( for each occupant ) seat position age sex description of availab l e restraint system use o f restraint system.
Car (damqge) data general car characteri sti c s {make , mode l , ei c . ) car damage � every part o f the car s eparately, interior and exterior ) damage c ausation.
Injury data type and s everity of every s ingl e injury to each occupant .
The ways to obtain a l l thes e data are various and dependent on how the study i s organised . Most general accident and occupant data are easy to record. Police reports can be used and also driver reports ( such as insurance reports or special enquiry forms ) .
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The greatest prob l em i s the speed determinati on o f whi ch the c o l l i s ion speed is the most important . Onc e this factor is known , there is a reliabl e parameter for the acc i dent s everity . Many methods of rec onstructing c o l l i s i on speed have been created , us ing skid marks and other physi cal eviden c e . Dr iving s�eed can b e determinated more easy , ( for instance by drive r , by wi tnes ses ) but gives l e s s information about the resulting col l is i on sever ity and the information might be bi ased�
Obtaining damage data o f the case car(s) i s mostly work for special i s t s , though there are some indirect ways that can b e qu ite useful . For instanc e , s ince in many ac tual accident cases the spe c ia l i sts are not ava i l ab l e , or wil l c ome too late on the s c ene , it can b e neces sarily that the damage data are recorded by others ( for ins tance po l ic e o f f i c ers , towing s ervic e people ) by means of photographing . The responsible accident inveatigators and analysers may use the se photographs or slides to determinate the damage o f the car . Even i f spe c ia l i sts d i d see the car ( s ) , in many cases sl ides and photographs proved to be very useful . In Figure 3 a c ompar i son i s made for the mentioned study examples as far as the obtaining and description of the important a c c i dent data are c oncerned ( see also paragraph 2 . 3 ) . In s ome studies damage data were provided c ompl etely or partly by drivers ( or in case of fatal i t i e s ) by pol ice-officers . It also might be useful , i f driver enquiries are being used , to ask questions about the parts in the interior that were hit and relate the answers to the same data from reports of damage special i sts .
Accurate injury data can eas ily be obtained, assuming that a phys i c ian or surgeon made a report on the injuries . Co-operation of medi cal authorities proved to be rather wel l in most studies yet reported. Since in most countries various legal problems arise i f someone i s kil led in an acc ident , the autopsy reports ( if available ) and injury de ·-scriptions might be very difficult to obtain , thus caus ing a big lack of information for those cas e s . Hospital teams , organis ing ac c i dent studies , have an advantage there , s ince they wi l l start their cases on detai led injury descriptions even of fatal injured occupants . The only source for injury description of minor injured occupant s , are the occupants themselve s . Thi s information and also the knowledge that certain occupants were not injured at all , are important data in every crash acc i dent study , because thi s information might help to answer the questions about tbreshold values for injury causation, c o n c e rn i n g interior structures and human tol erance data .
2 . 3 . Data description in accident forms
2 . 3 . 1 . General
In every ac c i dent study some kind of accident form is used for the uniform rec ording and storage of acc ident data . Since for the studies with bigger samples almost always ( digital ) computer analys i s or at least computer counting is appl ied , the forms wil l show already s igns for that purpos e . Thi s means that numerical codes have to be used and code l i sts have to be availab l e , e ither on the form itsel f , or on s eparate l i sts , for every separate variable .
Simple data l ike sex (male , f emale , unknown ) are easy to describe numerical , for they need only one c omputer card column. In cases with more than 9 or 10 pos sib i l ities within one variable it i s possible to use two or more columns ( digits ) , as with "speed" or "age" or "year" .
In most studies codes have been created for severity ratings both o f the car damage and the injuries to each occupant. These severity ratings can be very important for s impl i fying the analysi s and for comparing acc i dents . A wel l known car damage severity index is the Vehi�le Deformati on Index (VDI ) , created in the USA . Thi s index i s among others described in the SAE draft Recommendati on Practice , nr J 224a , 19 7 1 . Apart from a classif i cation for the damage severity thi s index gives a description of the main c o l l i s ion events and the damaged parts of the car (us ing a total of 7 digits ) . Thi s index has been used in the NATO-CCMS study but unti l now, on its interpretati on no f inal agreement has been reached.
Simple , but very useful severity ratings for car damage c lassify the damage into 5 or 6 categorie s , ranging from "0" = no damage to " 5 " or 1 16 11 = complete destruction o f car compartment . To avo id mis interpretation it i s important that a severity scale i s s impl e enough . But at the same time , to allow the analyser to determinate the important di fferences between categories , it has to be detailed enough .
Another important severity scale i s the injury severity scale , of which many different kinds are in existance today . A well known American one i s the Abbreviated Injury Scale (AIS ) , also been used in the NATO-CCMS study. All these scales give in more ar less categories the overall sever-
ity of the injuries to an occupant , ranging from not injured to fatal injured. The s impl est way is a three category scal e : not injured, injured , dead . A more sophisticated one i s : not injured , s l ightly injured , severe injured , fatal injured . Of course all depends on the proper description o f the d ifferent categories , but practice proved that less difference b etween analysers existed in interpretation of injury severity than in interpretation of car damage severi ty . Both the damage severi ty and the injury severi ty need support of detailed damage and injury descriptions for detai l ed analysi s .
2 . 4 . Examples o f character istics o f accident studies
In this paragraph some of the most interesting characteristics of the before mentioned studies wi ll b e compared , as far as comparison is possible and allowed . Important characteristics o f ac c i dent studies are : di stributions o f c o l l i �i on types ; di stributions o f c o l l i s i on speeds ; di stributions of injuries to body regions ; distr ibuti ons o f injury severity ; effects o f use o f s eat be lts . In Figure 4 these characteristics are given.
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In some studies no c o l l i s i on speeds had been determinated but driving speeds by means of driver report s . The effect of the use o f seat belts can be described i n terms of the number ( or percentage ) of people that would have been saved from fatalities or injuries with regard to the number of peopl e actual ly kill ed or injured , if they had been us ing their be lts .
3 . FINAL REMARKS AND R�COMMENDATIONS
Crash acc ident studies have proved to be adequate means of improving traffic safety by applying the ir results in terms of improving exteri or and interior parts of cars ( espec ial ly by applying restraint systems ) and environment . Pre crash studies have to deal with the almost inpredictab l e human behaviour factors and their results might therefore be difficult to apply ; although recommendations for improvement of cars and roads , as far as acc ident prevention i s concerned , seems to be necessary.
Human tolerance data , the determation of which is part of the IRCOBI programme , cannot be gathered only from crash accident studies . Suppl ementary information i s needed on the forces and decelerations that caused actual injuries or fatal itie s . Two important ways exi sting today are : 1 . The use o f l aboratory ( s led ) test in which dummies or human cadavers are b eing used and in which the c o l l i s ion conditions can b e accurately measured . By comb ining these results with those of actual acc i dent information on injuries , it i s possible to determinate threshold values for injury causation. Many different pro j ects in this area are carried out all over the worl d at thi s moment ( one being mentioned in paragraph 1 . 5 . 7 . , item 2 ) . 2 . By providing a big sample o f cars ( preferably of one owner ) with so called crash recorders , in whi ch the decelerations of the ca� during the accident are recorded , the acc ident inve stigator has got much actual information about the accident severity ; but even then he wi l l miss the forces and dece lerations to the occupants themselve s . Again i n the USA a promis ing project had b een started, involving cars of f l eet owners . But this project seems to be abandonned due to lack of money .
lt has been stated that there i s need for big sample acc ident studie s . Since gathering indepth information ( o ften on scene studie s ) means sma l l samples , there are two ways l e ft : 1 . Organis ing l arge statistical accident studies a s given in some o f the examples , in whi ch qual itatively fair information was gathered without vi s it ing the s c ene of the accident . A prel iminary study of the differences between on-s cene and off- scene information as far as quality c oncerned ( c arried out by SWOV) did not show that off scene information was necessarily worse than on scene information. 2 . The combining of indepth studies . If organisers of indepth crash studies use the same accident report forms , and if the ways of gathering the data are the same , it i s possi.b l e to compare and/or to c ombine results , provided that differences in spec if i c local fac tors can be e l iminated .Up t i l l now it proved to be almost impossible to compare results of different acc ident studie s . The examples of Figure 4 will prove this .
The NATO-CCMS Acc ident Investigation Program seems to be one of the first in whi ch these facts are acknowledged, and we hope that all parties concerned wi l l agree upon ways to go on with this kind of comb ined investigation.
No crash acc ident studies have yet been mentioned concerning improvement of the environment ( the third factor in the acc ident area of Figure 1 ) . However , many studies are exi sting and it has been proved that studies on roads ide obstacles and guard rai l s are important contributors to road safety .
REFERENCES
1 . N . I . Bohlin . A stati stical analysis of 28000 acc ident cases with emphas is on occupant restraint value . AB VOLVO, Gothenburg , Sweden
2 . Innere Sicherheit im Auto . Eine Untersuchung des HUK-Verbandes über PKW-Unfälle mit Insas senverl etzung . Bericht über 10 . 27 1 Fäll e , nr I und II HUK-Verband , Hamburg , Germany , 1972 .
3 . R .N . Kemp . I . D . Neilson, G . C . Staughton and H .A . Wilkin s . A prel iminary report on a on the spot survey of acc ident s . TRRL report LR 434. TRRL, Crowthorne , Berkshire , U .K . , 1972 .
4 . Jaako K . Kihlberg . Efficacy of seat belts in injury and noninjury crashes , in rural Utah . ACIR-CAL report VJ-2721-R3 . C .A . L . , Buffalo N .Y . , USA , 1969 .
1 6 3
pre crash crash post crash
l:::l 1 2 3 "' � �
� � 4 5 6 t) 'M �
� I>
;.J l:::l � 7 8 9 � 0 �
'M I> l:::l �
Figure 1 . Programme Matrix for Highway Safety Research
�
O"')
U'1
samp
le y
ear
num.be
r of
ca
ses
VOLV
O HUK
TR
RL
ACI
R
swov
NA
TO-C
CMS
1 2
3 4
5 6
1965/6
6 --
----
1969
-
-19
68/69
1966/6
7 19
69/
70
1970
/71
2878
0 dr
iver
s 10
271
driv
ers
247
driv
ers
7125
dr
iver
s 22
082
driv
ers
500
driv
ers
quan
tity
/ h
igh/
hig
h/ lo
w/ fa
ir/
hig
h/ ��
low/
qua
lity
fa
ir
fair
h
igh
fair
fa
ir
hig
h
data
ana
lyse
d by
inst
itu
te c
ode
(see
1.4
.)
area
typ
es o
f ca
rs
typ
es o
f ac
cide
nt
VOLV
O,
HUK,
Swed
en
Germ
any
2 5
rura
l m
ostl
y
unkn
own
Vol
vo
's o
nly
a
ll
all
on
ly d
riv
ers
who
wer
e "q
uil
ty"
only
inj
ury
pr
odu
cing
a
ccid
ent
s
TRRL
, U
.K.
1 rura
l m
ostl
y
all
all
CORN
ELL,
U
SA.
1
rura
l
swov
, N
ethe
rlan
ds
1 rura
l an
d u
rban
all
a
ll
inju
ry
pro
-al
l du
cing
and
no
n in
jury
pr
odu
cing
a
ccid
ents
Figu
re 2
. Ch
arac
teri
stic
s of
6 d
iffe
rent
acc
iden
t st
udie
s.
SOUT
H W
ESTE
RN
RESE
ARCH
IN
ST.
USA
.
1
diff
eren
t fo
r d
iffe
rent
te
ams
dif
fere
nt f
or
dif
fere
nt
team
s
dif
fere
nt f
or
diff
eren
t te
ams
Rep
orti
ng
of
gen
eral
dat
a by
car
damag
e da
ta b
y in
jury
dat
a by
damag
e se
ve:r
i t
y s
cale
use
d
damag
e r
epor
ti
ng
inju
ry s
ever
i t
y s
cale
use
d
inju
ry r
epor
ti
ng
amou
nt
of
data
or
com
pute
r ca
rds
for
one
VOLV
O
driv
ers
driv
ers
driv
ers
own
syst
em
repa
ir c
osts
an
d es
tim
ate
d co
lli
sion
spe
ed
not
de
tail
ed
HUK
TRRL
driv
ers
team
dam
age
grou
p te
am
doct
ors
and
hos
pit
als
own
syst
em
5 ca
tego
ries
no
n li
nea
ir
deta
iled
team
+
hosp
ital
s
own
syst
em
5 po
int
sca
le
+ li
nea
ir
not
de
tail
ed
own
syst
em
USA
syst
em
STA
TS s
yst
em
4 ca
tego
ries
3
and
4 ca
te-
7 ca
tego
ries
go
ries
grou
ps
o:f
inju
ries
co
ded
at l
east
80
dif
fere
nt
data
deta
iled
cod
e no
ne
syst
em f
or
sev
erit
y,
type
an
d b
ody
regi
on
abou
t 20
0 di
ffer
ent
data
unkn
own
ACI
R
pol
ice
pol
ice
pol
ice
+ h
osp
ital
s
own
syst
em
esti
mat
ed
impa
ct s
peed
in
to 4
cat
ego
ries
not
deta
iled
swov
driv
ers
+ p
olic
e
NATO
-CCM
S
dif
fere
nt f
or
dif
fere
nt
team
s
spec
ial
team
s se
e ab
ove
spec
ial
phy-
see
abov
e si
cian
+
driv
-er
inf
orm
atio
n
own
syst
em
VDI
5
cate
gori
es
non
lin
eair
deta
iled
v
ery
deta
iled
pol
ice
syst
em o
wn
syst
em
AIS
5
cate
gori
es
7 ca
tego
ries
none
abou
t 80
di
ffer
ent
data
deta
iled
cod
e de
tail
ed c
ode
syst
em
("N
code
") fo
r se
ver
ity
, ty
pe
and
body
re
gion
abou
t 28
0 di
ffer
ent
data
(a
ver
age
of
4 co
mpu
ter
card
s)
syst
em f
or
sev
erit
y,
type
an
d bo
dy
regi
on
abou
t 30
00
diff
eren
t da
ta
(av
erag
e of
50
co
mpu
ter
card
�
Figu
re 3
. Co
mpar
ison
of
the
ways
da
ta w
ere
repo
rted
and
des
crib
ed i
n 6
acc
iden
t st
udie
s
VOL
VO
num
ber
of
2878
0 dr
iver
s dr
iver
s 87
31 fr
ont
seat
an
d pa
s-53
02 r
ear
seat
se
nger
s 42
813
occu
pant
s di
stri
bu-
.fro
ntal
35
,7
tion
of
si
de
33,5
co
llis
ion
off
road
17
,2
type
s·
roll
ov
er
4 ,9
rear
and
ot
her
8 7
1 otr
2878
0 ca
ses
dist
rib
u-n
ot a
vail
able
t
ion
of
spee
ds
dis
trib
u-no
t av
ail
able
ti
on o
f da
mage
se-
ver
ity
_.,.
Fig
ure
4.
Part
1
cn
......
HUK
TRR
L A
CIR
1027
1 dr
iver
s n
ot r
e-71
25 d
riv
ers
5175
fron
t se
at p
orte
d 41
63 f
ront
sea
t 19
09 r
ear
seat
25
64 r
ear
seat
1735
5 oc
cupa
nts
409
unkn
own
1426
1 oc
cupa
nts
fron
tal
30,2
no
t re
-fr
onta
l 40
,6
side
41
,3
port
ed
side
11
,3
rear
28 %5
rear
15
,3
1 ro
ll o
ver
8,
6 10
271
case
s un
know
n 24 %2
1 14
261
case
s
only
ava
ilab
le
not
re-
hig
hes
t im
pact
fo
r se
pera
te
port
ed
spee
d (m
ph)
coll
isio
n ty
pes
<
20
23,7
20
-39
35,2
40
-59
22,6
)
60
7,8
unkn
own
10 %7 10
0 14
261
case
s
only
ca
t to
car
0-
8,9
not
avai
lab
le
coll
isio
n 1
. 1-
17,0
(82
26 c
ase
s)
1-38
,5
ligh
t 5,
9 4-
22,3
m
ediu
m
31,3
1-
8,9
hea
vy
46,6
1t-
2�8
ver
y h
eavy
13,
0 ov
er
. 1
6 to
tal
des-
14-
1,
tru
ctio
n
10�%2
swov
N
ATO
-CCM
S
2208
2 dr
iver
s n
ot y
et
9088
fro
nt s
eat
repo
rted
53
47 r
ear
seat
14
90 o
ther
+ u
nkn
3820
7 oc
cupa
nts
fron
tal
41j 5
see
si
de
25,5
abo
ve
rear
13
,6
rol
l ov
er
4,0
unde
rrid
e 0,
2 re
ar+f
ront
7,
3 ot
her
4,0
unkn
own
10&%9
2208
2 ca
ses
driv
ing
spe�
d se
e ( km
/h)
abov
e 0
1 3, 5
1-
25
19,2
29
-50
34,4
51
-75
1 4, 7
76
-100
12
,2
101-
125
2,2
> 12
5 0,
8 un
know
n 10&%0
m
inor
63
,3 se
e m
oder
ate
14,0
abo
ve
sev
ere
11, 3
con
side
rab
le
com
part
men
t da
mag
e 3 ,
3 co
mple
te
com
part
men
t 0,
9 de
stru
ctio
n
unkn
own
7 2
100%
VOLV
O HUK
TR
RL
ACI
R sw
ov
NATO
-CCM
S
dist
ribu
-no
t av
ail
able
no
in
juri
es 2
2,8
not
re-
not
avai
lab
le
no
inju
ries
63
,7 n
ot y
et
tion
of
fo
r al
l 28
780
ligh
t 60
,2 p
orte
d li
ght
20,4
rep
orte
d in
jury
se-
case
s m
oder
ate
12,3
m
oder
ate
8,7
ve
riti
es
sev
ere
3,0
se
ver
e 3
,6
(dr
iver
s da
nger
ous/
da
nger
ous/
on
ly)
1 if
e th
reat
-li
fe t
hrea
t-en
ing
o,6
en
ing
o,6
fa
tal
0,9
fa
tal
1,4
un
know
n 0
2 10
0% un
know
n 0
2 10
0% di
stri
bu-
not
ava
ilab
le
hea
d 39
,6 n
ot r
e-no
t av
ail
able
br
ain
14,1
se
e ti
on o
f th
orax
17
,2 p
orte
d h
ead
14,5
abo
ve
inJu
ries
ab
dom
en
5,6
n
eck
6
,8
to b
ody
nec
k
19,5
th
orax
7
, 7
reg
ion
s sp
ine
abdo
men
1,
2
(dr
iver
s (l
ower
) 3
,0
back
2
,8
only
) ar
ms
32,4
p
elv
is
0,3
le
gs
1&�%3
arm
s 2
1,3
10
271
=
legs
..
..lL. 2 (n
umbe
r of
16
046
=
100%
dr
iver
s)
(num
ber
of
inju
rie
s)
effe
ctiv
e -3-
poin
t be
lts
: co
nsi
dera
ble
n
ot r
e-la
p be
lts
, 50
-80%
red
uct
ion
see
abov
e n
ess
of
40-9
0%
effe
ctiv
enes
s p
orte
d al
l oc
cupa
nts
: of
fat
ali
ties
se
atbe
lts
inju
ry
50%
redu
ctio
n;
for
all
seat
bel
t re
duct
ion
any
inju
ry:
type
s to
geth
er
depe
nden
t on
40
% m
ore
risk
sp
eed
if
seat
bel
t no
fat
ali
ties
no
t u
sed
bel
ow 6
0 mp
h a
ccid
ent
spee
d
Fig
ure
4.
Comp
aris
on o
f so
me
char
acte
rist
ics
of 6
a
ccid
ent
stud
ies.
Par
t 2
Summary
Thi s paper give s a review o f real-ac c i dent stud i e s in general , the requi red efforts , the problems and the bene f i t s . Example s o f spe c i f i c stud i e s from different countri es o f the world are menti oned and some o f the i r characteri sti c s are compared, both in terms o f organi sation and of result s . Though much o f the data used in thi s paper are based on vari ous l i terature , on�y in spe c i f i c cases references are given. Emp'has i s wi l l be la id on so called crash a c c ident s tudie s , of whi ch a definition wi l l be given.
1 6 9