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 …

Over the past decades, Intelligent Transportation Systems (ITS) have developed and
deployed in order to improve transportation safety and mobility, reduces environmental …

Origin-destination (OD) modeling facilitates effective demand-responsive public
transportation planning in order to meet emergent needs. Given recent advances in transit …

Smart urban transportation management can be considered as a multifaceted big data
challenge. It strongly relies on the information collected into multiple, widespread, and …

Inferring trip destination in smart card data with only tap-in control is an important
application. Most existing methods estimate trip destinations based on the continuity of trip …

Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

Although smart‐card data secures collective travel information on public transportation
users, the reality is that only a few cities are equipped with an automatic fare collection …

Minimizing passenger transfer times through public transport (PT) transfer synchronization is
important during tactical planning and real-time control. However, there are computational …

Background The provision of seamless public transport supply requires a complete
understanding of the real traffic dynamics, comprising origin-to-destination multimodal …