The objective of this study is to provide a better understanding of the potential of using
Artificial Intelligence (AI) to improve Public Transport (PT), by reviewing research literature …

Public transportation is expensive to operate and maintain and is often unsatisfactory. The
attractiveness of public transportation can be enhanced by making it more seamless, which …

Measurements of CO 2 and counting of occupants were carried out in 37 public bus trips
during commuting rush hours in Barcelona (NE Spain) with the aim of evaluating parameters …

Monitoring and predicting the environment in an indoor space plays an important role in
securing big data and detecting abnormal conditions in the industrial environment and living …

Machine learning (ML) solutions have been proposed to make public transportation more
attractive. Works that employ ML in bus transportation focus on various problems, such as …

Accurately estimating the number of people is a useful information to monitor the occupancy
level of spaces due to the COVID-19 pandemic in order to keep social distancing …

Indoor air quality is a determining factor in maintaining occupant comfort, especially in
educational environments such as classrooms. Traditional methods of monitoring indoor air …

The objective of this work is to detail the development of an IoT system to monitor the indoor
air quality index and record the entry and exit of occupants of the same space. Data is …

Exposure to in-vehicle air pollutants has been recognized as a risk factor for respiratory
diseases. The present study, therefore, investigates the factors, including duration of …