Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …

Real-time highway traffic monitoring systems play a vital role in road traffic management,
planning, and preventing frequent traffic jams, traffic rule violations, and fatal road accidents …

Unmanned aerial vehicles (UAVs) mounted with remote sensors have been widely used in
architectural, civil, and environmental engineering fields. In particular, UAVs are applied for …

Predicting unsafe behaviour in advance can enable remedial measures to be put in place to
mitigate likely accidents on construction sites. Prevailing safety studies in construction tend …

The establishment of smart construction sites employing smart technologies for real-time
interconnection, communication, and interaction has emerged as an interesting topic for …

Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Potential safety hazards (PSHs) along the track needs to be inspected and evaluated
regularly to ensure a safe environment for high-speed railroad operations. Other than track …

The ability to monitor and track the interactions between construction equipment and
workers can lead to creating a safer and more productive work environment. Most recent …

Smart cities have emerged as a pivotal aspect of urban planning and policy, leveraging
technology and data analytics to enhance sustainability and citizens' quality of life …