Vol. 14 No. 2, November 2022
Index
- The Social Justice of Intelligent Transportation Systems: Deep Learning-based Autonomous Driving Technologies, Cooperative Navigation Algorithms, and Vehicle and Pedestrian Detection Tools.
- The Algorithmic Governance of Autonomous Driving Behaviors: Multi-Sensor Data Fusion, Spatial Computing Technologies, and Movement Tracking Tools.
- Deep Learning-based Ethical Judgments in Connected Vehicle Technologies: Route Planning Algorithms, Spatial Data Visualization Tools, and Real-Time Predictive Analytics.
- Ethical Artificial Intelligence in Smart Mobility Technologies: Autonomous Driving Algorithms, Geospatial Data Mining Tools, and Ambient Sound Recognition Software.
- Autonomous Vehicle Ethics in Networked Transport Systems: Spatial Cognition Algorithms, Mobility Data Processing Tools, and Deep Learning-based Sensing Technologies.
- Big Data-driven Governance of Smart Sustainable Intelligent Transportation Systems: Autonomous Driving Behaviors, Predictive Modeling Techniques, and Sensing and Computing Technologies.
- Artificial Moral Agents in Big Data-driven Transportation Systems: Autonomous Vehicle Perception Sensors, Virtual Simulation Algorithms, and Geospatial Mapping Tools.
- The Moral Decision-Making Capacity of Autonomous Mobility Technologies: Route Planning Algorithms, Simulation Modeling Tools, and Intelligent Traffic Monitoring Systems.
- The Social Ethics of Autonomous Vehicle Routing and Navigation: Spatial Recognition Technologies, Environment Mapping Algorithms, and Mobility Simulation Tools.
- Socially Responsible Technologies in Autonomous Mobility Systems: Self-Driving Car Control Algorithms, Virtual Data Modeling Tools, and Cognitive Wireless Sensor Networks.