Intro
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