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005 20260102122842.0
010   $a3-032-14094-3
024 7 $a10.1007/978-3-032-14094-4
035   $a(CKB)44769984900041
035   $a(MiAaPQ)EBC32470821
035   $a(Au-PeEL)EBL32470821
035   $a(DE-He213)978-3-032-14094-4
035   $a(OCoLC)1573149864
035   $a(EXLCZ)9944769984900041
100   $a20260102d2026      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSmart and Environmentally Friendly Contemporary Road Traffic and Transportation Engineering Solutions /$fedited by El?bieta Macioszek, Irena Jurdana, Grzegorz Sierpi?ski
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (324 pages)
225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1769
311 08$a3-032-14093-5 
330   $aThis book presents many valuable tips for making decisions related to road traffic in transport networks. The knowledge base in practical examples, as well as the decision support systems described in this book, will find interest among people who face the daily challenge of searching for solutions in the area of road traffic research, analysis, and modeling with taking into account smart, and environmentally friendly contemporary road traffic and transportation engineering solutions. The publication is therefore addressed to local authorities related to the planning and development of strategies for selected areas with regard to transport (both in the urban and regional dimension) and to representatives of business and industry, as people directly involved in the implementation of traffic engineering solutions. The tips contained in individual sections of the publication will allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (among others, in relation to the impact of road conditions on energy consumption in the electric drive system of a passenger cars, the effectiveness of traffic calming measures on the city?s street and road networks, hourly distribution of the probability of a fire accident in a urban road tunnel or the relationship between built road environment and perceived road traffic safety level). .
410  0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1769
606   $aComputational intelligence
606   $aTransportation engineering
606   $aTraffic engineering
606   $aComputational Intelligence
606   $aTransportation Technology and Traffic Engineering
615  0$aComputational intelligence.
615  0$aTransportation engineering.
615  0$aTraffic engineering.
615 14$aComputational Intelligence.
615 24$aTransportation Technology and Traffic Engineering.
676   $a006.3
700   $aMacioszek$b Elz?bieta$01080977
701   $aMacioszek$01885321
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049108003321
996   $aSmart and Environmentally Friendly Contemporary Road Traffic and Transportation Engineering Solutions$94520516
997   $aUNINA