Smart Transportation Systems 2022: Proceedings of 5th KES-STS International Symposium (Smart Innovation, Systems and Technologies, 304)
معرفی کتاب «Smart Transportation Systems 2022: Proceedings of 5th KES-STS International Symposium (Smart Innovation, Systems and Technologies, 304)» نوشتهٔ Yiming Bie (editor), Bob X. Qu (editor), Robert J. Howlett (editor), Lakhmi C. Jain (editor)، منتشرشده توسط نشر Springer Verlag در سال 2022. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
"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."-- Provided by publisher 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 3.1 Speeding Frequency Within Each Range 3.2 Speeding Range and Interval Time 4 Increasing Block Fine Model Development 4.1 The Number of Speeding Violations Within Each Block 4.2 Model Construction of Fines 4.3 Optimization of Fines for Each Level 5 Case Analysis 6 Conclusions and Future Research Directions References An Effective Berths-Based Approach to Calculate the Capacity of Drop-Off Exclusive Roadway 1 Introduction 2 Lane Function Layout Types of Drop-Off Exclusive Roadway 3 Calculation Approach of the Capacity of Multi-lane Drop-Off Exclusive Roadway Based on Effective Berths 3.1 The Theoretical Model Based on Time-Space Trajectory Theory 3.2 Concept of Effective Berths 3.3 Calculation Approach of the Capacity of Drop-Off Exclusive Roadway 4 Determination of the Effective Berth Factors Based on Simulation 4.1 Basic Assumptions and Parameter Settings 4.2 Simulation Results Analysis 5 Case Analysis 6 Conclusions References Impact Analysis of Wired Charging and Wireless Charging on Electric Bus Operation: A Simulation-Based Method 1 Introduction 2 Problem Description 2.1 Problem Environment Descriptions 2.2 Basic Operation Strategies 3 Example Analysis 3.1 Simulation Parameter Setting 3.2 Establishment of Simulation Environment 3.3 Results and Analysis 4 Conclusions References A Data-Driven Method for Diagnosing ATS Architecture by Anomaly Detection 1 Introduction 2 Problem Description and Methodology Overview 3 Architecture Embedding Model 3.1 Knowledge Representation in ATS Architecture 3.2 Training Model with Negative Sampling 4 Experiments 4.1 Preparing Dataset 4.2 Evaluation Results 5 Conclusions and Future Work References Dynamic Electric Bus Control Method for the Route with Dedicated Bus Lane 1 Introduction 2 Methodology 2.1 Problem Analysis 2.2 Calculation of Travel Time of the Electric Bus 2.3 Energy Consumption Calculation of the Electric Bus 3 Solution Algorithm 4 Case Study 4.1 Data Description 4.2 Results Analysis 5 Conclusions References Evaluating the Impact of Signal Control on Emissions at Intersections 1 Introduction 2 Literature Review 3 Methods 3.1 VSP Model 3.2 Mixed Traffic Flow VSP 4 Case Study and Results 4.1 VISSIM Simulation 4.2 Signal Timing Optimization 4.3 Emission Calculation 5 Summary References Investigating Contributing Factors of Hard-Braking Events on Urban Road Network 1 Introduction 2 Materials and Methods 2.1 Process of Raw Data 2.2 Identification of Hard Braking Event 2.3 The Measure of Potential Factors 2.4 Statistical Methods 3 Results and Discussions 3.1 Estimates of Contributing Factors of HBE 3.2 Explanation of Contributing Factors 4 Conclusion References Usage Pattern Analysis of e-scooter Sharing System: A Case Study in Gothenburg, Sweden 1 Introduction 2 Literature Review 3 Study Area and Data 3.1 Extracting Trip Transactions from Position Data 4 Results 4.1 Usage Demand and Trip Characteristics 4.2 Differences of Using SESS Different Zones 5 Conclusion References Smart Pavement: An Attention-Based Classification Model for Road Pavement Material 1 Introduction 2 Relation Work 3 Method 3.1 Basic Network 3.2 Self-attention Module 4 Experiments 4.1 Datasets 4.2 Experimental Setting 4.3 Comparison to Existing Methods 4.4 Case Study 5 Discussion References Traffic Flow Model of the Weaving Section in Signalized Roundabouts 1 Introduction 2 Model Development 2.1 Description 2.2 Model Methodology 3 Model Validation 3.1 Simulation Condition Setting 3.2 Parameter Calibration 3.3 Result Analysis 4 Conclusions References On the Impact Analysis of Emergency Vehicles Preemption on Signalized Intersections with Connected Vehicles 1 Introduction 2 Methodology 3 Case Study 4 Conclusion References Spatiotemporal Distribution of Traffic Violations in a Medium-Sized City Luzhou 1 Introduction 2 Method 2.1 Data 2.2 Analytical Approach 3 Results 3.1 Temporal Characteristics 3.2 Spatial Characteristics 4 Discussions and Conclusions References Scenario-Oriented Contract Based Design for Safety of Autonomous Vehicles 1 Introduction 2 Literature Review 3 Methodology 4 Running CARLA Simulation 4.1 Creation of a Scene in Scenic 4.2 Creation of Scenarios in Scenic 5 Results 5.1 Case 1: Results Without Controller Implementing Contracts 5.2 Case 2: Results with Controller Implementing Contracts 5.3 Discussion About Results 6 Conclusion and Future Work References Dynamic Imputation Methodology for Multi-source Streaming Mobility Data 1 Introduction 2 Related Work 2.1 Time Series Data Imputation 2.2 Streaming Data Imputation 3 Materials and Methods 3.1 Matrix Factorisation 3.2 Spatio-Temporal Profiling 3.3 Estimation of Missing Values 3.4 Imputation Strategy 3.5 Data and Computer Code 4 Results and Benchmarking 4.1 Validation Strategy 4.2 Imputation Results 5 Conclusion References Author Index
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