LEADER 07081nam 2201777z- 450 001 9910557345603321 005 20231214133655.0 035 $a(CKB)5400000000042434 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76626 035 $a(EXLCZ)995400000000042434 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Transportation Related Complex Systems and Sensors 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (494 p.) 311 $a3-0365-0848-1 311 $a3-0365-0849-X 330 $aBuilding around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data. 606 $aTechnology: general issues$2bicssc 610 $aimage dehazing 610 $atraffic video dehazing 610 $adark channel prior 610 $aspatial-temporal correlation 610 $acontrast enhancement 610 $atraffic signal control 610 $agame theory 610 $adecentralized control 610 $alarge-scale network control 610 $arailway intrusion detection 610 $ascene segmentation 610 $ascene recognition 610 $aadaptive feature extractor 610 $aconvolutional neural networks 610 $ain-cylinder pressure identification 610 $aspeed iteration model 610 $aEKF 610 $afrequency modulation 610 $aamplitude modulation 610 $asensor synchronization 610 $amicroscopic traffic data 610 $atrajectory reconstruction 610 $aexpectation maximization 610 $avehicle matching 610 $aartificial neural networks 610 $ametro 610 $atransportation 610 $auser flow forecast 610 $amatrix inversion 610 $atime-varying matrix 610 $anoise problem in time-varying matrix inversion 610 $arecurrent neural network (RNN) 610 $aRNN-based solver 610 $areal-time fast computing 610 $areal-time estimation 610 $aprobe vehicle 610 $atraffic density 610 $aneural network 610 $alevel of market penetration rate 610 $adeep neural network 610 $aneural artistic extraction 610 $aobjectification 610 $aride comfort 610 $asubjective evaluation 610 $aroad surface recognition 610 $aGaussian background model 610 $aabnormal road surface 610 $aacceleration sensor 610 $atraffic state prediction 610 $aspatio-temporal traffic modeling 610 $asimulation 610 $amachine learning 610 $ahyper parameter optimization 610 $aITS 610 $acrash risk modeling 610 $ahazardous materials 610 $ahighway safety 610 $aoperations research 610 $aprescriptive analytics 610 $ashortest path problem 610 $atrucking 610 $avehicle routing problem 610 $adata visualization 610 $adescriptive analytics 610 $apredictive analytics 610 $aurban rail transit interior noise 610 $asmartphone sensing 610 $aXGBoost classifier 610 $arailway maintenance 610 $avehicle trajectory prediction 610 $alicense plate data 610 $atrip chain 610 $aturning state transit 610 $aroute choice behavior 610 $areal world experiment 610 $aIntelligent Transportation Systems (ITS) 610 $aadvanced traveler information systems (ATIS) 610 $aconnected vehicles 610 $aparticle filter 610 $aKalman filter 610 $aroad safety 610 $atravel time information system 610 $asafety performance function 610 $abicycle sharing systems 610 $apublic transport systems 610 $adata-driven classification of trips 610 $aBSS underlying network 610 $atrip index 610 $aautomatic rail-surface-scratch recognition and computation 610 $atriangulation algorithm 610 $acomplete closed mesh model 610 $aonline rail-repair 610 $aautonomous vehicle 610 $aobstacle avoidance 610 $aartificial potential field 610 $amodel predictive control 610 $ahuman-like 610 $avariable speed limits 610 $aintelligent transportation systems 610 $aITS services 610 $adriving simulator studies 610 $atraffic modelling 610 $asurrogate safety measures 610 $adriving safety 610 $adriving emotions 610 $adriving stress 610 $alifestyle 610 $asensors 610 $aheart rate 610 $aplate scanning 610 $alow-cost sensor 610 $asensor location problem 610 $atraffic flow estimation 615 7$aTechnology: general issues 700 $aKyamakya$b Kyandoghere$4edt$01294150 702 $aAl-Machot$b Fadi$4edt 702 $aMosa$b Ahmad Haj$4edt 702 $aChedjou$b Jean Chamberlain$4edt 702 $aBagula$b Antoine$4edt 702 $aKyamakya$b Kyandoghere$4oth 702 $aAl-Machot$b Fadi$4oth 702 $aMosa$b Ahmad Haj$4oth 702 $aChedjou$b Jean Chamberlain$4oth 702 $aBagula$b Antoine$4oth 906 $aBOOK 912 $a9910557345603321 996 $aIntelligent Transportation Related Complex Systems and Sensors$93022932 997 $aUNINA