This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

From a transport perspective, increasing active travel–and walking in particular–is crucial for
the future of sustainable cities, as reflected in global decarbonisation policies and agendas …

In recent years, the design (and re-design) of cities to encourage walkability has taken on
new urgency as part of a wider campaign for sustainable urban development …

Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

Purpose-Perception has been identified as the main cause underlying most autonomous
vehicle related accidents. As the key technology in perception, deep learning (DL) based …

Cities world-wide have taken the opportunity presented by the COVID-19 pandemic to
improve and expand pedestrian infrastructure, providing residents with a sense of relief and …

This study utilised multi-year data from 5354 incidents to predict pedestrian–road traffic
accidents (PTAs) based on twelve socioeconomic and built-environment factors. The …

Several studies have shown the relevance of biosignals in driver stress recognition. In this
work, we examine something important that has been less frequently explored: We develop …

A rich volume of research has detected urban growth by quantifying the land use/land cover
(LU/LC) changes based on remote sensing technologies. However, the research has …

Safety is an important quality of street space that affects people's psychological state and
behavior in many ways. Previous large-scale assessment of street safety focuses more on …