Online demand prediction plays an important role in transport network services from
operations, controls to management, and information provision. However, the online …

Modern public transit systems are often run with automated fare collection (AFC) systems in
combination with smart cards. These systems passively collect massive amounts of detailed …

Transportation demand management, long used to reduce car traffic, is receiving attention
among public transport operators as a means to reduce congestion in crowded public …

Smart cards of most bus transit system only record boarding stops of passengers, which
hinders direct exaction of alighting stops. In this paper, we associate multi-source …

Recognition of spatio-temporal traffic patterns at the network-wide level plays an important
role in data-driven intelligent transport systems (ITS) and is a basis for applications such as …

A reasonable land use development around subway stations can balance the utilization
rates of the subway system during peak and off-peak hours, thereby enhancing its service …

Mobility demand analysis is increasingly based on smart card data, that are generally
aggregated into time series describing the volume of riders along time. These series present …

The passenger flow characteristics of rail transit stations and their relationship with
surrounding urban space play an important role in urban planning and transit‐oriented …

The problem of traffic prediction is paramount in a plethora of applications, ranging from
individual trip planning to urban planning. Existing work mainly focuses on traffic prediction …

Public transport, a vital part of transportation systems, plays an essential role in our society
to reduce many social issues. however, the issue of mismatching in operation and …