Public transport networks play an important role in minimising congestion and improving
environmental sustainability of developed cities. However, they face a number of challenges …

Information on congestion of buses, which are one of the major public transportation modes,
can be very useful in light of the current COVID-19 pandemic. Because it is unrealistic to …

In many of the world's major cities, commuter trains provide vital transportation support and
thus play an essential role in our daily lives. Therefore, it has become necessary to estimate …

Abstract Information on congestion of buses, which are one of the major public
transportation modes, can be very useful to avoid three Cs (Closes spaces, Crowded places …

In Intelligent Transportation Systems predicting arrival time of bus is a key challenge. The
bus arrival time is the primary information for providing passengers with an accurate …

This paper presents a groundbreaking approach to traffic prediction through the integration
of crowdsourced data within a big data analytics framework. The proposed methodology …

Efficient, convenient and reliable public transport is a vital part of a sustainable urban
transport system. Crowding inside vehicles has negative effects on all these aspects …

This thesis contributes to the development of public transport information systems with use of
human probe data. New methods for estimating three key performance indicators (KPIs) of …

We present CrowdMeter: a participatory system that leverages the sensed data collected
from users' phones during their daily train commutes to gauge the real-time congestion level …

A precise knowledge about future traffic will eventually open a new era in traffic
management. Research has focused on the still unresolved problem of predicting travel time …