LEADER 01256nam  2200349I  450 
001 9910709962603321
005 20180828130444.0
035   $a(CKB)5470000002474639
035   $a(OCoLC)1050113387
035   $a(EXLCZ)995470000002474639
100   $a20180828d2018      ua             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aQuantifying the mobility and energy benefits of automated mobility districts using microscopic traffic simulation /$fLei Zhu [and five others]
210  1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d[2018]
215   $a1 online resource (1 page) $ccolor illustrations
225 1 $aNREL/PO ;$v5400-71872
606   $aAutomated vehicles
606   $aTraffic flow$xMathematical models
615  0$aAutomated vehicles.
615  0$aTraffic flow$xMathematical models.
700   $aZhu$b Lei$0955407
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910709962603321
996   $aQuantifying the mobility and energy benefits of automated mobility districts using microscopic traffic simulation$93546364
997   $aUNINA