VOLUME 14(2) • 2022
The Social Justice of Intelligent Transportation Systems: Deep Learning-based Autonomous Driving Technologies, Cooperative Navigation Algorithms, and Vehicle and Pedestrian Detection Tools
ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore Internet of Things-sensing tools, data processing and smart mobility technologies, and self-driving car control algorithms. In this research, previous findings were cumulated showing that self-driving car..
The Algorithmic Governance of Autonomous Driving Behaviors: Multi-Sensor Data Fusion, Spatial Computing Technologies, and Movement Tracking Tools
ABSTRACT. This paper provides a systematic literature review of studies investigating autonomous driving technologies, lane detection algorithms, and adaptive and dynamic route planning tools. The analysis highlights that autonomous driving perception algorithms require multi-object detection and tr..
Deep Learning-based Ethical Judgments in Connected Vehicle Technologies: Route Planning Algorithms, Spatial Data Visualization Tools, and Real-Time Predictive Analytics
ABSTRACT. The aim of this systematic review is to synthesize and analyze virtual simulation and geospatial mapping tools, computer vision and path planning algorithms, and autonomous vehicle interaction control software. With increasing evidence of data simulation and optimal trajectory planning too..
Ethical Artificial Intelligence in Smart Mobility Technologies: Autonomous Driving Algorithms, Geospatial Data Mining Tools, and Ambient Sound Recognition Software
ABSTRACT. In this article, we cumulate previous research findings indicating that smart transportation networks deploy route planning and visual perception algorithms, predictive urban analytics, and cognitive data fusion techniques. We contribute to the literature on data modeling and mobility simu..
Autonomous Vehicle Ethics in Networked Transport Systems: Spatial Cognition Algorithms, Mobility Data Processing Tools, and Deep Learning-based Sensing Technologies
ABSTRACT. The present study systematically reviews the existing research on geospatial mapping and simulation modeling tools, environment and vehicle sensors, and crash avoidance technologies. My findings clarify that interconnected sensor networks integrate visual recognition and image processing t..
Big Data-driven Governance of Smart Sustainable Intelligent Transportation Systems: Autonomous Driving Behaviors, Predictive Modeling Techniques, and Sensing and Computing Technologies
ABSTRACT. This article reviews and advances existing literature concerning com- puter vision and route planning algorithms, sensing and computing technologies, and vehicle and pedestrian detection tools. Throughout June 2022, a quantitative literature review of the Web of Science, Scopus, and ProQue..
Artificial Moral Agents in Big Data-driven Transportation Systems: Autonomous Vehicle Perception Sensors, Virtual Simulation Algorithms, and Geospatial Mapping Tools
ABSTRACT. Despite the relevance of autonomous vehicle driving algorithms, behavior tracking and virtual data modeling tools, and image recognition and urban sensing technologies, only limited research has been conducted on this topic. In this article, I cumulate previous research findings indicating..
The Moral Decision-Making Capacity of Autonomous Mobility Technologies: Route Planning Algorithms, Simulation Modeling Tools, and Intelligent Traffic Monitoring Systems
ABSTRACT. The purpose of this study is to examine road environment data, tracking control and spatial cognition algorithms, and virtual navigation and simulation modeling tools. In this article, I cumulate previous research findings indicating that urban transportation systems leverage autonomous ve..
The Social Ethics of Autonomous Vehicle Routing and Navigation: Spatial Recognition Technologies, Environment Mapping Algorithms, and Mobility Simulation Tools
ABSTRACT. The objective of this paper is to systematically review connected vehicle data, spatial recognition technologies, and machine learning and computer vision algorithms. The findings and analyses highlight that autonomous mobility technologies leverage vehicle and pedestrian detection tools, ..
Socially Responsible Technologies in Autonomous Mobility Systems: Self-Driving Car Control Algorithms, Virtual Data Modeling Tools, and Cognitive Wireless Sensor Networks
ABSTRACT. We draw on a substantial body of theoretical and empirical research on smart infrastructure sensors, deep learning-based autonomous driving and data processing technologies, and spatio-temporal fusion algorithms. In this research, prior findings were cumulated indicating that monitoring an..