This article presents an empirical study carried out to evaluate and analyze autonomous
driving algorithms and behaviors, sensing and computing technologies, and connected …

Despite the relevance of algorithm-driven sensing devices and connected vehicle data in
smart transportation networks, only limited research has been conducted on this topic. Using …

This paper analyzes the outcomes of an exploratory review of the current research on
intelligent vehicular networks, deep learning-based sensing technologies, and big data …

Based on an in-depth survey of the literature, the purpose of the paper is to explore
intelligent transportation applications, autonomous vehicle perception sensor data, and …

The purpose of this study was to empirically examine autonomous vehicle interaction control
software, big geospatial data analytics, and networked driverless technologies in smart …

Employing recent research results covering smart transportation systems, and building my
argument by drawing on data collected from AAA, Abraham et al.(2017), AUDI AG …

The purpose of this study was to empirically examine real-world connected vehicle data,
deep learning-based sensing technologies, and decision-making self-driving car control …

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 …

Employing recent research results covering autonomous vehicle algorithms, big geospatial
data analytics, and interconnected sensor networks in urban transportation systems, and …

We draw on a substantial body of theoretical and empirical research on autonomous vehicle
driving algorithms, deep learning-based sensing technologies, and big geospatial data …