Screen LibrarySmart transportation systems 2022 : proceedings of 5th KES-STS International Symposium /
This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2022). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving...
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| Corporate Authors: | |
|---|---|
| Group Author: | ; ; ; |
| Published: |
Springer,
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| Publisher Address: | Singapore : |
| Publication Dates: | [2022] |
| Literature type: | Book |
| Language: | English |
| Series: |
Smart innovation, systems and technologies,
304 |
| Subjects: | |
| Summary: |
This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES STS 2022). 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. |
| Carrier Form: | x, 200 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references and author index. |
| ISBN: |
9789811928123 9811928126 |
| Index Number: | HE191 |
| CLC: | U495-532 |
| Call Number: | U495-532/K421/2022 |
| Contents: |
Intro -- Preface -- Contents -- About the Editors -- Complexity Quantification of Car-Following Dynamic Traffic in the Internet of Vehicles Environment -- 1 Introduction -- 2 Model -- 2.1 Quantitative Metrics of Car-Following Dynamic Traffic Complexity -- 2.2 The Establishment of the Quantitative Model -- 3 Experiment Plan and Data Processing -- 3.1 Experimental Design -- 3.2 Data Processing -- 3.3 Result Analysis -- 4 Conclusion -- References -- Driving Secondary Task Load Quantification Based on the AHP Algorithm Under the Voice Interaction Scenario -- 1 Introduction 2 Voice-Based Interactive Driving Simulation Test -- 2.1 Design of Test -- 2.2 Test Index Collection -- 2.3 Test Data Processing -- 3 Model Construction -- 3.1 Build a Hierarchical Analysis Matrix -- 3.2 Calculate the Consistency Index CI -- 3.3 Find the Consistency Indicator RI -- 3.4 Calculate the Consistency Ratio, CR -- 3.5 Weight Calculation -- 4 Conclusions -- References -- Investigating the Influence of ADAS on Drivers' Evasive Behaviors During Car-Following on Highways -- 1 Introduction -- 2 Methodology -- 2.1 Experiment -- 2.2 Data Extraction -- 2.3 Modeling Evasive Behaviors 2.4 K-means Clustering -- 3 Results -- 3.1 NCEs Classification by K-means Clustering -- 3.2 Comparison of the Probability of Different Evasive Behaviors -- 3.3 Analysis of the Influence of THW on Different Evasive Behaviors -- 4 Discussion and Conclusion -- References -- Effect Factors Analysis of Driver's Freeway Route Deviation Based on Questionnaire Survey Data -- 1 Introduction -- 2 Research Content -- 2.1 Questionnaire Design -- 2.2 Respondents -- 3 Effect Factors of Route Deviation -- 3.1 Exploratory Factor Analysis (EFA) -- 3.2 Questionnaire Reliability and Validity Tests 4 The Effect of Driver Cognitive Models on Route Deviation -- 5 The Effect of Demographic Factors on Route Deviation -- 6 Response to Effect Factors of Route Deviation -- 7 Conclusion -- References -- Demand Analysis of Customizable Car Sharing Functions Based on Kano Model -- 1 Introduction -- 1.1 Background and Study Motivation -- 1.2 Current Research Status -- 2 Research Contents and Methods -- 2.1 Interview Research and Questionnaire Survey -- 2.2 Survey Method of Importance Degree -- 3 Building a Hierarchy of Needs Model 3.1 Identify and Screen the Kano Category of Personalized Demand Items for Car Sharing -- 4 Importance Ranking of Personalized Demand Items -- 4.1 Calculating Initial Weights of Personalized Demand Items for Car Sharing -- 4.2 Weight Adjustment and Determining the Importance Ranking of Personalized Demand items for car Sharing Functions -- 5 Conclusion -- References -- Characteristics Extraction and Increasing Block Fine Modeling for Repeated Speeding Behaviors -- 1 Introduction -- 2 Off-Site Law Enforcement Data Collection and Preprocessing -- 3 Speeding Behavior Feature Extraction |