We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

While road navigation systems seek to determine the shortest routes between a given set of
origin and destination points, there are certain situations in which the fastest route increases …

Research on what makes people walk/cycle for tourism is significantly understudied in
relation to smart app use among Asians. To bridge this gap, this work proposes and verifies …

Economic instruments are considered promising to achieve the urgently needed reduction of
greenhouse gas emissions in the transportation sector. In this context, tradable credit …

Pedestrian detection by a car is typically performed using camera, LIDAR, or RADAR-based
systems. The first two systems, based on the propagation of light, do not work in foggy or …

Public green spaces (eg, parks, green trails, greenways) and motivations to engage in active
transport are essential for encouraging walking and cycling. However, how these key factors …

This study aims to enhance people's mobility in the context of mobility restrictions in the
Palestinian territories, West Bank. It aims to develop a comprehensive route planning model …

Cities are transforming into smart areas thanks to several key technologies involving artificial
intelligence (AI), 5G or big data aimed at improving the lives of their inhabitants with new …

Матеріал та методи. У дослідження включено результати обстеження та лікування 112
хворих з переломами середньої зони обличчя, які знаходилися на стаціонарному …

This thesis aims at developing a smart mobility solution to enhance the travel experience of
individuals facing mobility restrictions due to the occupation in Palestine, West Bank. The …