Context-aware travel support in public transport disturbances
- Contact person:
- Åse Jevinger
- Swedish Transport Administration
- Responsible at MaU:
- Åse Jevinger
- Project members:
- Time frame:
- 05 July 2021 - 30 September 2022
- Research environment :
- Research subject:
About the project
Smartphones create new opportunities within public transport (PT) to both provide the traveler with more personalized information and give the traveler possibilities to contribute with their own information, e.g. about where the traveler currently is. If this type of bilateral communication is used for transmitting real-time information during unplanned traffic disturbances, both the passenger's decision basis for the continued journey and the actors' decision basis for disturbance management can be improved.
This project aims to investigate how such bilateral communication can be realized. A prototype in the form of an app/web interface (hereafter referred to as "app") is developed in the project to validate feasibility. The app is developed independently but its functionality is in a longer perspective intended to be integrated with general travel planners. In the event of a disturbance, the traveler is given the opportunity to request personalized information through the app. This request also means that the traveler agrees to share information about the current context (in this project: which train/bus/platform/stop the traveler is currently on) and desired destination, with actors within KT.
Based on the traveler's context, disturbance information and timetables, the app provides suggestions for alternative ways to continue the journey. Each travel alternative is associated with an uncertainty factor for the travel time that can be designed in different ways (expected travel time with e.g. standard deviation, best/worst case or probability). The traveler can choose between the different travel alternatives based on personal needs and thus make a more informed decision about continued travel. This type of uncertainty factor can also serve as a support for traffic managers and traffic informants. Their roles and communication will therefore also be investigated.