Overview
Routeplume explores rail journey notebook through a mobile experience built around a vertical journey timeline with ticket drawer. A rail-journey notebook connecting imported tickets, timestamped itineraries and searchable station notes. The proposed journey connects journey strip, ticket reader, travel-note helper, trip archive. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Java architecture.



Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Challenge
Rail travelers need saved tickets, station notes and revised personal plans connected without treating unverified AI text as live departure information. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep journey strip and ticket reader connected within a short mobile flow.
- Make ticket extraction correctable when the model misreads the input.
- Explain itinerary questions through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Solution
The design begins with a vertical journey timeline with ticket drawer, using large touch targets, short task sequences and contextual sheets. Draft journey fields from user-supplied tickets. Condense saved station and transfer notes with links. The companion views keep drafts, original material and accepted decisions distinct. A rail blue, cream and signal red visual system gives this app its own character within the collection.
- Draft journey fields from user-supplied tickets.
- Condense saved station and transfer notes with links.
- Answer from imported plans while showing their timestamps.
- Suggest a checklist from the user's trip duration and preferences.
Results
4
Original mobile
showcase views12
Designed
feature areas4
Proposed AI
workflows


