Smart Transportation Systems 2023: Proceedings of 6th KES-STS International Symposium

Description

This 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. 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 2.2 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 4.4 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 6 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 7.3 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 8.4 Case Analysis 8.4.1 Optimize the Number of Fines at Each Level 8.4.2 Stepwise Incremental Fine Model Effectiveness Analysis 8.5 Conclusion and Future Research Directions References 9 Interaction-Aware Trajectory Prediction for Autonomous Vehicle Based on LSTM-MLP Model 9.1 Introduction 9.2 Methodology 9.2.1 Problem Formulation 9.2.2 Model Structure 9.3 Experiment 9.3.1 Dataset 9.3.2 Evaluation Metric 9.3.3 Baselines 9.3.4 Results 9.4 Conclusion References 10 Speed Profile Optimization for Energy-Saving Operations of Electric Buses 10.1 Introduction 10.2 Problem Formulation 10.2.1 Problem Statement 10.2.2 Speed Profile Generation Algorithm 10.2.3 Objective Function and Constraints 10.2.4 Optimization Model 10.2.5 Solution Algorithm 10.3 Case Study 10.3.1 Data Collection 10.3.2 Results 10.4 Conclusions References 11 Control Methods for Energy-Saving Electric Bus Operation 11.1 Introduction 11.2 Methodology 11.2.1 Problem Statement 11.2.2 Description of State of Electric Bus 11.3 Objective Function and Constraints 11.4 Solution Algorithm 11.5 Case Study 11.5.1 Data Investigation 11.5.2 Results and Analysis 11.6 Conclusions References 12 Content and Evaluation of an Enterprise Reference Architecture for Demand-Responsive Public Transport 12.1 Introduction 12.2 Research Approach 12.3 Reference Enterprise Architecture for Demand-Responsive Public Transport 12.3.1 Motivational and Strategic Elements of the Architecture 12.3.2 Business and Application Level 12.4 Evaluation of Reference Enterprise Architecture 12.4.1 Evaluation of the Motivational and Strategic Elements 12.4.2 Evaluation of the Business and Application Level 12.5 Conclusions and Future Work References 13 Prospects of the Activity-Based Modelling Approach: A Review of Sweden’s Transport Model- SAMPERS 13.1 Introduction 13.2 Theoretical Background 13.2.1 ABM Components and Applications 13.2.2 Overview of Sweden’s National Transport Model 13.3 Sampers Innovation Projects 13.3.1 IHOP Project: Building Dynamic Network Models for Next-Generation Activity-Based Models 13.3.2 Simulations for Long-Distance Trips: Vehicle Fleet Electrification 13.3.3 Modelling and Analysis Module for EVs, ITS and Autonomous Vehicles 13.3.4 Synthetic Sweden Mobility (SySMo): Agent-Based Models 13.4 Limitations and Recommendations for Sampers 13.4.1 Long-Term Development Recommendations 13.5 Conclusions References 14 A Novel Longitudinal Control Strategy of Connected Automated Vehicle in Heterogeneous Traffic Flow and String Stability Analysis 14.1 Introduction 14.2 Literature 14.3 Control Design 14.3.1 Spacing Policy 14.3.2 Design of SAIDM-MPC Control Law 14.4 Analysis of String Stability 14.5 Results of String Stability 14.6 Conclusion and Future Work References 15 Dynamical Classification to Improve the Selection of the Driver-Cargo Transportation Duo for a Trucking Company 15.1 Introduction 15.2 Related Work 15.3 Characterization of Human Behavior and Mechanical Transport Status Variables in the Local Environment 15.4 Proposed Architecture Software System 15.5 Conclusions and Future Work References 16 Analysis of Driver Navigation Software Use Experience Based on Structural Equation Model 16.1 Introduction 16.2 Structural Equation Modeling of Driving Navigation Software Use Experience Evaluation 16.2.1 User Experience 16.2.2 Basic Structure of the Structural Equation 16.2.3 Structural Equation Model Construction 16.2.4 Driver Navigation Software Usage Experience Model 16.3 Questionnaire Survey 16.3.1 Survey Time and Number of Questionnaires 16.3.2 Reliability and Validity Analysis of the Data 16.4 Model Validation Analysis 16.4.1 Model Assumptions 16.4.2 Exclusion of Correlations with Insignificant Significance Levels 16.4.3 Analysis of Model Results 16.4.4 The Total Effect of Each Factor on Navigation Software Usage Experience 16.5 Conclusion 16.6 Discussion References 17 Design of a Highway Traffic Safety Assessment System Based on Crash Data Mining and Modeling 17.1 Introduction 17.2 System Functional and Architecture Design 17.2.1 System Architecture Design 17.2.2 System Architecture Design 17.3 System Implementation 17.3.1 Basic System Framework 17.3.2 Data Presentation Module 17.3.3 Data Upload Module 17.3.4 Data Cleaning Module and Query Module 17.3.5 Temporal and Spatial Distribution Module 17.3.6 Association Analysis Module 17.3.7 Bayesian Network Module 17.4 Conclusion References 18 Visualization Method of Urban Motor Vehicle Trajectory Based on License Plate Recognition Data 18.1 Introduction 18.2 License Plate Recognition Data Characteristics 18.2.1 License Plate Data Source 18.2.2 License Plate Data Structure 18.3 Vehicle Trajectory Database Construction 18.3.1 License Plate Data Pre-processing 18.3.2 Vehicle Trajectory Database Construction 18.4 Visualization of Vehicle Travel Trajectories 18.4.1 Vehicle Travel Trajectory Point Matching 18.4.2 Vehicle Travel Trajectory Route Matching 18.4.3 Vehicle Travel Desire Line Generation 18.5 Conclusion References 19 A Two-Stage Teaching Philosophy for Postgraduate Students 19.1 Introduction 19.2 Methods 19.3 Results 19.4 Conclusion References 20 A Network-Wide Traffic Speed Estimation Model with Gaussian Process Inference 20.1 Introduction 20.2 Problem Statements 20.2.1 Gaussian Process 20.2.2 Variational Inference 20.3 Case Study 20.3.1 Data Description 20.3.2 Model Prediction Results and Analysis 20.4 Conclusion References 21 Rule-based Recommendation System for Traffic Congestion Measures 21.1 Introduction 21.2 State of the Art 21.3 Proposed Approach 21.3.1 Data Collection 21.3.2 System Reasoning and Context Analysis 21.3.3 Proposed Algorithm 21.4 Experiments and Results 21.5 Conclusion and Perspectives References Author Index