,,iii  #aah? ,,congress  #a/ ,session   
,s4 ,,res4 #bgd  ,,9 ,,! ,,s5ate ,,( ,,!
 ,,unit$ ,,/ates  ,june #bb1 #bjbc ,mr4 
,blum5?al 7= himself1 ,mr4 ,m>key1 ,mr4 
,k+1 ,mr4 ,van ,holl51 ,mr4 ,lujn1 ,mr4 
,m]kley1 ,mr4 ,s&]s1 ,mr4 ,fett]man1 &  
,ms4 ,smi?7 submitt$ ! foll[+           
resolution2 :i* 0 ref]r$ to ! ,committee
 on ,comm]ce1 ,sci5ce1 & ,transportation
  ,,resolution  ,express+ ! s5se ( !    
,s5ate to r$uce traffic fatalities to   
z]o by #bjej4  ,:]eas roadway fatalities
 kill t5s ( ?\s&s ( p 9 ! ,unit$ ,/ates 
ea* ye>2 ,:]eas1 accord+ to ! ,national 
,highway ,traffic ,safety ,adm9i/ration 
7ref]r$ to 9 ?is preamble z ,,nhtsa71   
#db1ici lives 7 lo/ 9 motor vehicle     
cra%es 9 #bjba & all ( ! dea?s 7        
prev5table2 ,:]eas1 accord+ to ! ,c5t]s 
= ,disease ,control & ,prev5tion1       
traffic cra%es are a lead+ cause ( dea? 
= p ages #a to #ed & kill m ?an #ajj p e
 day2 ,:]eas1 accord+ to ,,nhtsa1       
alcohol-impair$ driv+ cra%es are a lead+
 kill] on ! roadways ( ! ,unit$ ,/ates1 

) #ac1chd lives lo/ to alcohol-impair$  
driv+ 9 #bjba2 ,:]eas1 accord+ to       
,,nhtsa1 #c1ebb p di$ 9 motor vehicle   
cra%es involv+ di/ract$ driv]s 9 #bjba2 
,:]eas1 accord+ to ,,nhtsa1 #g1chh      
p$e/rians 7 kill$ 9 traffic cra%es 9 !  
,unit$ ,/ates 9 #bjba1 repres5t+ a #bb  
p]c5t increase 9 ! la/ #e ye>s2 ,:]eas1 
accord+ to ,,nhtsa1 ! numb] ( p$e/rian  
fatalities increas$ by #ec p]c5t f #bjab
 to #bjba2 ,:]eas1 accord+ to !         
,national ,complete ,/reets ,coalition  
at ,sm>t ,gr[? ,am]ica1 ! p$e/rian      
fatality rate comp>$ to t ( ,:ite1      
non-,hispanic p 9 ! ,unit$ ,/ates is--  
7#a7 #bbj p]c5t high] = ,am]ican ,indian
 & ,alaska ,native p2  7#b7 #ajj p]c5t  
high] = ,black p2 &  7#c7 #bj p]c5t     
high] = ,hispanic & ,lat9x p2 ,:]eas1   
accord+ to ,,nhtsa1 a total ( #ifa      
bicycli/s 7 kill$ 9 cra%es ) motor      
vehicles 9 #bjba1 repres5t+ a #cb p]c5t 
increase 9 ! la/ #aj ye>s2 ,:]eas       
indep5d5t rese>* 9 #bjae f\nd t motor   
vehicle cra% dea? rates 7 z mu* z #d4c  

times great] = ^? at ! bottom ( !       
education spectrum ?an ^? at ! top2     
,:]eas1 accord+ to ,,nhtsa1 motorcycles 
repres5t$ only #c p]c5t ( all regi/]$   
vehicles1 b acc\nt$ = #ad p]c5t ( all   
traffic fatalities & #ag p]c5t ( all    
occupant fatalities 9 #bjba2 ,:]eas1    
accord+ to ,,nhtsa1 9 #bjba1 #dj p]c5t (
 motor vehicle traffic fatalities       
occurr$ on rural roads1 despite only #cb
 p]c5t ( miles travel$ occurr+ on rural 
roads2 ,:]eas1 accord+ to ,,nhtsa1      
seatbelts prev5t$ #ad1fec fatalities &  
#dej1jjj s]i\s injuries 9 #bjai1 sav+   
#ic1jjj1jjj1jjj 9 m$ical c>e1 lo/       
productivity1 & o!r injury-relat$ co/s2 
,:]eas1 accord+ to ,,nhtsa1 9 #bjba1 #ej
 p]c5t ( pass5g] vehicle occupants :o   
di$ 9 a motor vehicle cra% 7 unre/ra9$1 
:ile #he p]c5t ( occupants :o surviv$ a 
motor vehicle cra% 7 re/ra9$2 ,:]eas !  
,national ,academies ( ,sci5ces1        
,eng9e]+1 & ,m$ic9e cite t approximately
 #dj p]c5t ( cra% fatalities initially  
surviv$ ! impact b lat] di$1 highlight+ 

! importance ( improv+ po/-cra% c>e2    
,:]eas1 accord+ to ! ,insurance         
,in/itute = ,highway ,safety1 increas+  
spe$ limits ov] ! la/ #be ye>s h l$ to  
approximately #cg1jjj dea?s2 ,:]eas1    
accord+ to ,,nhtsa1 spe$+ acc\nt$ = #bi 
p]c5t ( all traffic fatalities 9 #bjba2 
,:]eas1 accord+ to ,consum] ,reports1   
exi/+ safety te*nologies c\ld cut road  
fatalities 9 half if su* te*nologies 7  
made /&>d on all vehicles1 sav+         
approximately #bj1jjj lives annually2   
,:]eas roadway fatalities & injuries    
rose dur+ ! ,,covid-#ai p&emic & rema9 a
 p]si/5t cause ( dea? 9 ! ,unit$ ,/ates2
 ,:]eas a deep hi/ory ( inequalities 9 !
 ,unit$ ,/ates cont9ues to impact       
transportation sy/ems1 ) l[-income      
neighborhoods exp]i5c+ m ?an twice z _m 
p$e/rian fatalities z neighborhoods ) ! 
highe/ incomes1 accord+ to ! ,national  
,complete ,/reets ,coalition at ,sm>t   
,gr[? ,am]ica2 ,:]eas roadway fatalities
 disproportionately affect p ( color &  
und]s]v$ communities & !re mu/ be an    

ef=t to collect bett] data to und]/& ^! 
impacts2 ,:]eas too _m families 9 !     
,unit$ ,/ates h be5 p]sonally affect$ by
 prev5table cra%es2 & ,:]eas a          
data-driv5 safe sy/ems approa* is prov5 
to be effective at r$uc+ traffic        
fatalities & injuries1 includ+ ?r\gh    
tak+ into acc\nt all aspects ( !        
transportation environm5t & n requir+ a 
s+le actor to be responsible = traffic  
safety3 ,n[1 !re=e1 be x  ,t ! ,s5ate-- 
7#a7 commits to advanc+ policies t w end
 roadway fatalities by #bjej2  7#b7     
calls on ,congress & ! ,dep>tm5t (      
,transportation to commit to work+      
toge!r to a*ieve z]o roadway fatalities 
by ! ye> #bjej2  7#c7 supports ef=ts to 
address disp>ities & o!r equity-relat$  
issues relat$ to transportation safety2 
7#d7 calls on ! ,dep>tm5t (             
,transportation1 & ! ag5cies )9 !       
,dep>tm5t ( ,transportation1 to improve 
data ga!r+ & track+ ( traffic cra%es &  
o!r issues relat$ to transportation     
safety2  7#e7 calls on ! ,dep>tm5t (    

,transportation1 & ! ag5cies )9 !       
,dep>tm5t ( ,transportation1 to commit  
to ! implem5tation ( prov5 c\nt]measures
 & int]v5tions to prioritize            
transportation safety2  7#f7 recognizes 
! ne$ = a safe sy/em approa* to         
transportation 9 ! ,unit$ ,/ates to     
improve access1 safety1 & mobility2 &   
7#g7 supports ! use ( ! t]m cra%1 in/ead
 ( accid5t1 :5 describ+ traffic incid5ts
 & enc\rages all ag5cies ( ! ,f$]al     
,gov]nm5t to use ?is t]m4