TraPIST

Duration: 2014 – 2015

Project Description:

TRAPIST_LOGO_WEB_LR_TRANSP_v1.0

The project TraPIST – Train Passenger Information for Smart Travel – aims to offer Information for train passengers on a silver platter. Real-time travel information for rail travelers is still used inefficiently today. It is up to the rail travelers themselves to look actively for important information about their trip. In a dynamic context such as that of public transport, it would be much simpler to be able to consult the right information at the right time.

The current generation of applications based on real-time train information (RTTI) is still not fully using (open) data to facilitate rail travel. They are often based on only one source, even though more relevant sources are available (e.g. vehicle sensor data, passenger data, weather forecast, etc.). Moreover, travelers today expect additional ‘layers’ of information, such as integration with social media or entertainment.

“The TraPIST project seeks to offer train travelers relevant information proactively, at the right time and through the most appropriate channel.”

The development of a framework that collects, analyzes, classifies and filters data from various sources, based on a dynamic traveler profile, is at the heart of the TraPIST project. Based on this information, specific traveler applications are developed giving passengers direct access to the information they need. These applications can be practical, offering travel-related information, as well as social information or entertainment. The moment when the information is presented is triggered by a specific time, a location, an event or the traveler’s own circumstances (e.g. mood, present company, destination, activities, etc.). The project envisages the development of two different demo applications: an application for personal devices (e.g. smartphone) and an application for public displays (e.g. screens in train stations or on-board devices).

Team members from CUO | Social Spaces:

Karin SlegersJorick VissersSelina SchepersNiek Kosten

Partners: 
Research groups:
Social Spaces (MAD-Faculty)
CUO (KU Leuven/iMinds)
SMIT (VUB/iMinds)
IBCN (UGent/iMinds)
RxD (KU Leuven)

Industrial partners:
Televic RAIL
Digitopia
BeMobile
NMBS
TreinTramBus

Funding: 
ICON

Publications:
-

Recent activities:

[posts-for-page tag_slug='TRAPIST' show_full_posts='false' show_meta=true]