One of the most interesting new approaches in the transportation research field is the Naturalistic Driver Behavior which is intended to provide insight into driver behavior during everyday trips by recording details about ...

The COVID-19 pandemic has significantly impacted the construction sector, which is highly sensitive to economic cycles. In order to boost value and efficiency in this sector, the use of innovative exploration technologies ...

The concept of smart cities has become prominent in modern metropolises due to the emergence of embedded and connected smart devices, systems, and technologies. They have enabled the connection of every “thing” to the ...

Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic congestion, vehicle crashes, injuries and ...

The Electronic Health Records (EHR) sharing system is the state of art for delivering healthcare. The tools within the system can predict outcomes during the patient's lifetime, monitor how effective are treatments, track ...

Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In ...

The use of Blockchain technology has recently become widespread. It has emerged as an essential tool in various academic and industrial fields, such as healthcare, transportation, finance, cybersecurity, and supply chain ...

In strategic energy planning, human-oriented factors are uncertain and lead to unpredictable challenges. Thus, decision-makers must contextualize the target society to address these uncertainties. More precisely, uncertainties ...

Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making independent decisions about cyber threats, ...

Generative adversarial networks (GANs) are deep generative models (GMs) that have recently attracted attention owing to their impressive performance in generating completely novel images, text, music, and speech. Recently, ...