001469708 000__ 06644cam\\2200769\i\4500
001469708 001__ 1469708
001469708 003__ OCoLC
001469708 005__ 20230803003343.0
001469708 006__ m\\\\\o\\d\\\\\\\\
001469708 007__ cr\un\nnnunnun
001469708 008__ 230617s2023\\\\si\a\\\\o\\\\\101\0\eng\d
001469708 019__ $$a1382694057
001469708 020__ $$a9789819932849$$q(electronic bk.)
001469708 020__ $$a981993284X$$q(electronic bk.)
001469708 020__ $$z9789819932832
001469708 020__ $$z9819932831
001469708 0247_ $$a10.1007/978-981-99-3284-9$$2doi
001469708 035__ $$aSP(OCoLC)1382624574
001469708 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF
001469708 049__ $$aISEA
001469708 050_4 $$aHE191.8
001469708 08204 $$a388.3/12$$223/eng/20230623
001469708 1112_ $$aKES International Symposium on Smart Transportation Systems$$n(6th :$$d2023)
001469708 24510 $$aSmart transportation systems 2023 :$$bproceedings of 6th KES-STS International Symposium /$$cYiming Bie, Kun Gao, Robert J. Howlett, Lakhmi C. Jain, editors.
001469708 24630 $$a6th KES-STS International Symposium
001469708 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001469708 264_4 $$c©2023
001469708 300__ $$a1 online resource (xii, 242 pages) :$$billustrations (chiefly color).
001469708 336__ $$atext$$btxt$$2rdacontent
001469708 337__ $$acomputer$$bc$$2rdamedia
001469708 338__ $$aonline resource$$bcr$$2rdacarrier
001469708 4901_ $$aSmart innovation, systems and technologies ;$$vvolume 356
001469708 500__ $$aSelected conference proceedings.
001469708 500__ $$aIncludes author index.
001469708 5050_ $$aIntro -- Preface -- Contents -- About the Editors -- 1 Research Progress on Key Technologies of Environmental Perception and Detection of Transport System in Goaf of Coal Mine -- 1.1 Domestic and International Status Quo -- 1.2 UAV Autonomous Navigation -- 1.2.1 Navigation and Positioning Technology -- 1.3 Laser 3D Imaging Radar Technology -- 1.3.1 Principle and Composition -- 1.3.2 Point Cloud Processing -- 1.3.3 Radar Accuracy Improvement -- 1.4 Development Trend -- 1.5 Conclusions -- References -- 2 LSTM-Based Vehicle Trajectory Prediction Using UAV Aerial Data -- 2.1 Introduction
001469708 5058_ $$a2.2 Problem Statement -- 2.3 Data Presentation -- 2.4 Introduction to the Model -- 2.5 Results -- 2.6 Conclusions and Future Work -- References -- 3 Dynamic Pricing for Mobile Charging Service Considering Electric Vehicles Spatiotemporal Distribution -- 3.1 Introduction -- 3.2 System Model -- 3.3 Case Analysis -- 3.4 Conclusion -- References -- 4 Guidance Method of Connected Autonomous Vehicles Under Automatic Control Intersections -- 4.1 Introduction -- 4.2 Method -- 4.2.1 The Process of CAV Pass ACI -- 4.2.2 ACI Modeling -- 4.2.3 Conflict Resolution Process -- 4.3 Experimental Analysis
001469708 5058_ $$a4.4 Conclusion -- References -- 5 Multivariate Sequence Clustering for Driving Preference Classification Based on Wide-Range Trajectory Data -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Methodology -- 5.3.1 Domain Conversion -- 5.3.2 Multivariate Sequences Clustering Algorithms -- 5.3.3 Evaluation of Clustering -- 5.4 Data Preparation -- 5.4.1 Dataset Description -- 5.4.2 Data Preprocessing -- 5.5 Results and Discussion -- 5.5.1 Classification Results of Driving Preferences -- 5.5.2 Characteristics of Different Driving Preferences -- 5.6 Conclusion -- References
001469708 5058_ $$a6 Optimizing the Deployment of Automated Speed Camera at the Intersections Using GPS Trajectories -- 6.1 Introduction -- 6.2 Methodology -- 6.2.1 Data Collecting and Processing -- 6.2.2 Delta Speed Distribution -- 6.2.3 K-Means Clustering -- 6.3 Results and Discussions -- 6.4 Conclusions -- References -- 7 Examining the Effect of Speeding Patterns on Speeding-Related Harsh Decelerations for Commercial Drivers with Survival Analysis -- 7.1 Introduction -- 7.2 Data Collection and Analysis -- 7.2.1 Data Collection -- 7.2.2 Identification of Speeding Behaviors and SHDs -- 7.2.3 Variable Description
001469708 5058_ $$a7.3 Method -- 7.4 Results -- 7.4.1 Comparison of Goodness-of-Fit -- 7.4.2 Estimates of the AFT Model -- 7.4.3 Estimates of the Cumulative Survival Rate -- 7.5 Discussion and Conclusion -- References -- 8 Research and Application Analysis of Stepwise Incremental Fine Model for Speeding Behavior -- 8.1 Introduction -- 8.2 Assumptions and Framework -- 8.2.1 Model Assumptions -- 8.2.2 Basic Framework of the Model -- 8.3 Stepwise Incremental Fine Model -- 8.3.1 Determine the Number of Steps and the Number of Speeding in Each Step -- 8.3.2 Stepwise Incremental Fine Model Based on Driver Response
001469708 506__ $$aAccess limited to authorized users.
001469708 520__ $$aThis book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2023). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.
001469708 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 23, 2023).
001469708 650_0 $$aIntelligent transportation systems$$vCongresses.
001469708 650_0 $$aTransportation$$xData processing$$vCongresses.
001469708 655_0 $$aElectronic books.
001469708 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001469708 655_7 $$aConference papers and proceedings.$$2lcgft
001469708 7001_ $$aBie, Yiming,$$d1986-$$eeditor.
001469708 7001_ $$aGao, Kun,$$eeditor.
001469708 7001_ $$aHowlett, Robert J.,$$d1954-$$eeditor.
001469708 7001_ $$aJain, L. C.,$$eeditor.
001469708 77608 $$iPrint version: $$z9819932831$$z9789819932832$$w(OCoLC)1376921157
001469708 830_0 $$aSmart innovation, systems, and technologies ;$$v356.
001469708 852__ $$bebk
001469708 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3284-9$$zOnline Access$$91397441.1
001469708 909CO $$ooai:library.usi.edu:1469708$$pGLOBAL_SET
001469708 980__ $$aBIB
001469708 980__ $$aEBOOK
001469708 982__ $$aEbook
001469708 983__ $$aOnline
001469708 994__ $$a92$$bISE