Emergency stop lights Dashboard
Data Viz
Results
Time to First Action improved by 68% First Fixation Time on Problem Area under 2 sec
Link
Case Study: Enhancing Emergency Traffic Light Monitoring for Rapid Response
Overview
Role: UX/UI Designer
Project Type: Dashboard Redesign
Client: https://gtt.com/
Duration: 6 weeks
Team: 1 UX Designer (me), 1 Frontend Developer, 1 Traffic Analyst, 1 Project Manager
Problem Statement
Emergency responders and traffic controllers were struggling to quickly understand where incidents were occurring and how to act on them using the city’s existing emergency traffic signal dashboard. This led to delays in response time and an increase in manual override errors.
Goal
Redesign the emergency traffic dashboard to:
Reduce time to identify and respond to incidents
Improve clarity and situational awareness through visual design
Increase operational confidence and efficiency
Research
Methods:
Stakeholder interviews (traffic operators, system engineers)
Heuristic evaluation of the current system
Benchmarking against related systems (e.g., Waze live map, dispatch UIs)
Usability testing with five current system users
Key Findings:
80% of users were unable to locate the issue within 5 seconds
Heavy reliance on external communication (radio) rather than the system
No clear visual hierarchy between critical alerts and minor notices
Manual override function was difficult to access under pressure
Design Process
1. Information Architecture
Restructured the layout to focus on a high-level situational overview. Grouped controls by function (Observe, Act, Log).
2. Wireframes
Developed mid-fidelity wireframes in Figma, tested iteratively with key stakeholders.
3. Visual Design
Introduced a colorblind-friendly palette for signal statuses
Designed animated emergency vehicle indicators and pulsing alert zones
Created custom icons for signal types and incident categories
Incorporated timeline and heatmap visualizations to aid in retrospective analysis
4. Prototyping and Testing
Built a high-fidelity prototype and conducted usability tests with six emergency operators.
Key Metrics (Before vs. After Redesign)
Metric | Before | After | Change |
---|---|---|---|
Time to First Action (TTFA) | 12.5 seconds | 4.1 seconds | 67% decrease |
Issue Identification Accuracy | 72% | 98% | 26% increase |
Navigation Path (avg. clicks) | 4 steps | 1–2 steps | 50–75% fewer |
User Satisfaction (1–5 scale) | 2.3 | 4.6 | 100% increase |
Error Rate (false overrides) | 3.4/week | 0.6/week | 82% decrease |
Design Highlights
Live Alert Cards: Clearly prioritized by severity with regional grouping
Real-Time Map View: Dynamic visuals for vehicles and flashing intersections
Analytics Dashboard: Historical data including heatmaps and signal timing logs
Control Panel: Streamlined manual override interface with confirmation safety checks
Iteration Example
Initial Design:
Alert icons were stacked over the live map. Operators often missed alerts that appeared lower in the list.
User Feedback:
“I only saw the top two alerts. I missed the third incident entirely.”
Revised Design:
Introduced a collapsible alert drawer with severity-level tabs and regional filters, improving visibility and discoverability.
Outcome
Successfully piloted at three major intersections
Significant reduction in response time and override errors
Strong user feedback: “I finally trust the system to show me what I need when I need it”
Featured in an internal smart city innovation report
Tools Used
Figma (wireframing, visual design, prototyping)
Miro (journey mapping, information architecture)
Maze (usability testing)
After Effects (conceptual interaction demos)
Reflection
This project reinforced the importance of designing for clarity in high-pressure, real-time environments. One major takeaway was how visual hierarchy and interaction design directly impact decision-making and safety. Designing this dashboard was a practical lesson in balancing complex data presentation with simplicity and speed of use.
Next Steps
Expand the design system to support responsive mobile and tablet interfaces
Explore integration of voice commands for hands-free operations
Collaborate with data scientists to integrate predictive emergency routing features