01
Abstract feedback
People may say “make it greener” or “make it safer,” but different participants can imagine very different outcomes.
Real-time participatory urban design
Design streets together.
See the change instantly.
Street Cloud transforms community input into visual street-design scenarios, creating a shared feedback loop between people, planners, and the places they are shaping.
No app installation required. Join through a QR code and contribute from a phone.
Live co-design session
42 participants128 inputsScenario updating…
An interface between public participation and urban-design visualization— not just an AI image generator.
Listen→Interpret→Visualize→Discuss→Refine
Why Street Cloud
Public participation produces ideas. Seeing those ideas can take much longer.
Planning workshops generate valuable knowledge. Yet much of that knowledge is captured through conversations, sticky notes, forms, and written feedback— leaving participants to imagine spatial consequences without seeing them. Street Cloud shortens the distance between what people say and what everyone can see and discuss together.
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Slow interpretation
Workshop information may need to be manually coded, analysed, mapped, and visualized after the event.
03
Unequal visual literacy
Technical plans and drawings can be difficult for non-specialists to interpret.
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Broken feedback loops
Participants may provide input but never see how their contribution influences the design conversation.
The feedback loop
Street Cloud closes the feedback loop.
A shared visual loop where community preferences can be captured, interpreted, visualized, and discussed within the same participatory environment.
Step 01
Listen
Step 02
Interpret
Step 03
Visualize
Step 04
Discuss
Step 05
Refine
How it works
From QR code to shared street scenario.
Scan. Share. Visualize. Discuss. Street Cloud turns participation into a live, visible design conversation.
Step 01
Scan and participate
Participants join the session by scanning a QR code. No specialist software or design knowledge is required.
Session
SC-2409
Participants
37 online
Status
Live
Live product interface
Built for the room, not just the browser.
Participants contribute through phones while facilitators manage the session from a shared Street Cloud display.
Live Co-Design SessionLive
Current scenario · Community Green Street
Participants
42
Responses
128
Community priorities
- Trees & vegetation84%
- Pedestrian space78%
- Street seating63%
- Cycle lane51%
- Parking retention29%
Recent input
- “More shade near the bus stop.”
- “Reduce roadside parking.”
- “Need safer pedestrian crossing.”
Product showcase
A participation session you can actually see happening.
An existing street scene becomes the starting point. Participants interact through phones while the shared display responds to collective preferences— the full interaction cycle, not just a finished AI image.
Product walkthrough · Conceptual workshop demonstration
Start with the street as it exists
The session begins with a recognizable image of the actual place.
Before / after
Existing street. Community-informed scenario.
Conceptual AI-assisted visualization generated from selected participatory design priorities. Drag to compare.
Existing StreetStreet Cloud Scenario
Conceptual visualization for participatory discussion—not an engineering drawing.
Interactive demo
Shape the street. See a prepared scenario respond.
Choose design priorities and simulate how Street Cloud surfaces a community scenario. This website demonstration uses prepared assets—not the live generation engine.
What should change?
Interactive website demonstration using prepared Street Cloud scenarios.
Waiting for your priorities…Demo
Core features
Participation, interpretation and visualization in one loop.
The distinctive value is not any single feature—it is the connection between participation, structured interpretation, visual scenarios, and shared discussion.
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QR-based participation
Join live engagement sessions directly from a phone—no app install required.
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Multi-modal input
Contribute through buttons, sliders, free text, voice, and reaction voting.
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Preference aggregation
Repeated inputs organize into collective themes and visible design priorities.
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Existing-context visualization
Start from an image of the actual street so people discuss a place they recognize.
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AI-assisted scenarios
Translate design signals into conceptual street alternatives for discussion.
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Shared live display
Turn isolated survey submission into a collective conversation in the room.
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Iterative exploration
Explore greener, walkable, mobility-focused, or balanced alternatives of the same street.
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Facilitator controls
Open sessions, moderate input, generate scenarios, compare alternatives, and export summaries.
Scenario gallery
One street. Different priorities.
Street Cloud is about exploring alternatives—not generating one “correct” answer.
Green Street
- · More canopy
- · Planting & shade
- · Lower vehicle dominance
Walkable Street
- · Wider pedestrian zone
- · Crossings & seating
- · Active frontage
Active Mobility
- · Cycle infrastructure
- · Pedestrian priority
- · Reduced vehicle allocation
Balanced Street
- · Mixed mobility
- · Vegetation
- · Pedestrian improvements
Use cases
Designed for workshops, consultations, and research.
From participatory street redesign to university studios—Street Cloud supports conversations where spatial ideas need to become visible.
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Participatory street redesign
Engage residents in exploring sidewalks, trees, crossings, parking, and public space.
02
Public consultation
Use visual scenarios in community meetings to make proposed changes easier to understand.
03
University design studios
Let students, stakeholders, and communities explore design priorities together.
04
Tactical urbanism
Visualize temporary interventions before physical implementation.
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Urban regeneration
Support early-stage discussion about streetscape and public-realm transformation.
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Research collaborations
Study participatory planning, visual preference, and human–AI collaboration.
Traditional process vs Street Cloud approach
Traditional
Street Cloud
Feedback collected
Feedback collected
Interpretation often happens later
Input can be interpreted during the session
Visuals often prepared afterward
Scenarios can be generated rapidly
Participants imagine consequences
Participants see visual alternatives
Feedback may be one-directional
Feedback can become iterative
Static consultation artifact
Live shared interaction
System architecture
One continuous participation pipeline.
Four layers—participation, interpretation, scenario, and visualization— connected so feedback can loop back into the room.
1
Participant devices
QR / text / voice / preference controls
2
Input processing
Cleaning, moderation, intent extraction
3
Design signals
Trees ↑ · Walkability ↑ · Parking ↓
4
Scenario engine
Existing context + parameters + priorities
5
Visual generation
AI-assisted conceptual output
6
Shared display
Compare, discuss, refine
New feedback
Philosophy
The image is not the decision.
Street Cloud generates visual scenarios to support discussion. It does not determine which design should be built. Community preferences can conflict. Accessibility, safety, transport performance, cost, climate, regulation, maintenance, and professional judgement remain essential.
AI in Street Cloud
AI is the visualization layer—not the decision-maker.
Inputs originate from participants and facilitators. Professional planning and design judgement remains necessary to interpret feasibility, safety, regulation, cost, and implementation.
Human-led
People define priorities. Professionals retain judgement.
Context-aware
The existing place remains the visual reference.
Iterative
Outputs can be revised as the conversation evolves.
Transparent
Generated imagery is clearly identified as a conceptual scenario.
Non-final
Visualizations are not engineering or construction documents.
Research
Built at the intersection of planning, participation and AI.
Street Cloud is grounded in digital planning tools, participatory planning, urban informatics, visualization, and AI-assisted design.
Participatory planning
How can communities engage meaningfully with spatial decisions?
Planning support systems
How can digital tools improve exploration of planning alternatives?
Urban informatics
How can real-time digital interaction support urban understanding?
Human–AI collaboration
How can AI support—not replace—design discussion?
Visual communication
How can design ideas become understandable to non-specialists?
Collective intelligence
How can many contributions become shared priorities?
Developed in connection with the Urban Simulation Lab, Department of Town & Country Planning — University of Moratuwa, Sri Lanka, and the SmartMind UI & AI Group.
Limitations
What Street Cloud does—and what it does not do.
Honesty builds credibility. Street Cloud is most useful as an engagement and scenario-exploration interface, not as a replacement for professional design and planning processes.
- Generated images are conceptual.
- Geometry may not always be technically precise.
- Generated scenarios require professional review.
- A visually attractive outcome is not automatically a feasible outcome.
- Community preferences may conflict.
- Participation levels can affect representativeness.
- AI models may introduce visual artifacts.
- Results should not be treated as engineering drawings.
- Planning regulations and technical standards require independent validation.
FAQ
Clear answers for planners, researchers, and partners.
Street Cloud is a research-driven prototype exploring participatory street design—not an automated planning authority.
Street Cloud is a participatory urban-design platform that converts community input into visual street scenarios during an engagement process.
Street Cloud uses AI-assisted visualization, but the product is broader than image generation. Its core purpose is to connect participation, design priorities, visual scenarios, and discussion.
No. The intended workflow uses browser-based participation accessed through a QR code.
No. Street Cloud produces conceptual design scenarios for discussion and exploration. Final planning and design decisions require professional and technical review.
Yes. The product is designed around existing-place imagery so participants can discuss transformations of a recognizable location.
Voice input is part of the intended multi-modal participation workflow and can be converted into structured design signals.
Yes. Multiple scenarios can be explored using different combinations of community priorities and design parameters.
No. Participation data should inform discussion, not automatically determine the final planning decision.
Yes. The platform can support studies relating to participatory planning, visual communication, human–AI collaboration, and urban informatics.
Street Cloud is currently being developed and demonstrated as a research-driven prototype. Selected pilot and collaboration opportunities are being explored.
What would your street look like if everyone could help shape it?
Explore Street Cloud for participatory workshops, research collaborations, urban-design demonstrations, and pilot projects.
Request a demo
Interested in testing Street Cloud?
We are interested in conversations with planning authorities, municipalities, researchers, universities, urban designers, community-engagement teams, and innovation partners.
Explore Street Cloud for participatory workshops, research collaborations, urban-design demonstrations, and pilot projects.
What would your street look like if everyone could help shape it?