Accessibility metrics are gaining momentum in public transportation planning and policy-
making. However, critical user experience issues such as crowding discomfort and travel …

The paper develops a data-driven approach for the inference of passenger itineraries in
urban heavy rail systems, the Passenger Itinerary Inference Model (PIIM). In light of …

Urban transit networks typically consist of multiple modes and the journeys may involve a
transfer within or across modes. Therefore, the passenger experience of travel time reliability …

We present a pioneering investigation into the relation between passenger flow distribution
and network properties in public transport systems. The methodology is designed in a …

Society has a very ambitious vision of building smart interconnected cities through the
Internet of Things (IoT). Billions of data streams will be generated by devices using different …

The “asymmetry” between spatiotemporally varying passenger demand and fixed-capacity
transportation supply has been a long-standing problem in urban mass transportation (UMT) …

One of the most widely used applications for urban public transport passengers, especially
for tourists, are route recommendation applications. These applications are generally based …

This study presents a methodology for estimating passenger's spatio-temporal trajectory with
personalization and timeliness by using incomplete Wi-Fi probe data in urban rail transit …

In this extended abstract, we show the supervised learning approach to predicting
passenger load of trams, based on historical passenger load patterns. We look at two …

Unreliable waiting times may cause frustration and anxiety amongst public transport
travellers. Although the effect of travel time reliability has been studied extensively, most …