Context awareness adds intelligence to and enriches data for applications, services and
systems while enabling underlying algorithms to sense dynamic changes in incoming data …

Public transportation agencies are one of the industries that generate a large volume of data
on a high frequency and velocity basis. The General Transit Feed Specification (GTFS) is …

Passengers of public transportation nowadays expect reliable and accurate travel
information. The need for occupancy information is becoming more prevalent in intelligent …

Time series forecasting of passenger demand is crucial for optimal planning of limited
resources. For smart cities, passenger transport in urban areas is an increasingly important …

Precise travel time prediction allows travelers and system controllers to be aware of the
future conditions on roadways and helps in pre-trip planning and traffic control strategy …

Urban transportation systems are increasingly burdened by traffic congestion, a
consequence of population growth and heightened reliance on private vehicles. This …

Travel time information is used as input or auxiliary data for tasks such as dynamic
navigation, infrastructure planning, congestion control, and accident detection. Various data …

Public transport agencies observe the travel time as one of the main parameters of urban
transport performance. In particular, travel time forecasting is an important planning tool for …

Bus travel time analysis plays a key role in transit operation planning, and methods are
needed for investigating its variability and for forecasting need. Nowadays, telematics is …

Public transit service is a sustainable and eco-friendly alternative for commuting, and
promoting its usage is the need of the day. An understanding of the variability of travel time …