In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …

Smart card data is increasingly used to investigate passenger behavior and the demand
characteristics of public transport. The destination estimation of public transport is one of the …

Commuting reflects the long-term travel behavior of people and significantly impacts urban
traffic congestion and emission. Recent advances in data availability provide new …

Recent years have seen a surge in shared mobility. Amid various emerging shared mobility
services, bike-sharing has received growing popularity for its economic affordability …

Objective This paper aims to provide a comprehensive overview of the current state of agent-
based models, focusing specifically on their application in urban transportation research. It …

Operations, management and planning of urban transit systems have evolved substantially
since the application of transit data collection technologies, such as, automated fare …

Mobility patterns at region level can provide more macroscopic and intuitive knowledge on
how people gather in or depart from the region. However, the analysis and prediction of …

The rail transit has difficulties in meeting daily travel needs of passengers owing to a large
population and accelerating urbanization. Analyzing urban travel behaviors with big data …

Collecting fares through" smart cards" is becoming standard in most advanced public
transport networks of major cities around the world. Travellers value their convenience and …

Abstract Intelligent Transportation Systems (ITS) applications in public transportation have
allowed for automated data collection, which is particularly useful for planning and …