Our research focuses on establishing a suitable and reliable method for measuring the
movement of pedestrians and passengers in public transit. The objective is to assess the …

Regarding the passive WiFi sensing based crowd analysis, this paper first theoretically
investigates its limitations, and then proposes a deep learning based scheme targeted for …

This paper presents a method that generates a hierarchical user mobility model from the
analysis of the data available from Wi-Fi connections. The data obtained from the Wi-Fi …

Recently, requirement of city monitoring and maintenance using ICT techniques increases
with the help of transportation system. In addition, the spread of COVID-19 has increased the …

Nowadays, Internet of Things (IoT) applications are widespread in different scenarios, such
as industry, mobility, healthcare, and agriculture. A relevant share of the credit is due to the …

Currently, there are many researches trying to find the position of people inside the building
or indoor positioning to apply in many different applications in the future. This research is an …

This conference paper presents a comprehensive exploration of the applicability of passive
mobile crowdsensing for measuring pedestrian and passenger movement in public transit …

This paper presents an investigation into automated data collection, applied to pedestrians
in public spaces. Three case studies conducted in Brno, Czech Republic, a typical, medium …

Our research deals with creating a suitable and sufficiently reliable methodology to use for
evaluating the movement of passengers in public transport or pedestrians. The goal is to …

Abstract The Smart City is an abstract projection of future communities, a virtual fence
defined by a set of needs that find answers in technologies, services and applications which …