Cases
/ Abu Dhabi Mobility
In partnership with
Aimsun
Abu Dhabi’s transportation system amassed over 70 billion data points—from IoT sensors and police reports to public transport logs—yet these volumes were scattered across isolated silos. Pixonal led a sweeping data overhaul, partnering with Aimsun to merge historical metrics, real-time feeds, and future simulations into a single, centralized platform. The result? Analysis times plummeted, diverse agencies united under a unified viewpoint, and 950+ powerful insights now guide everything from daily traffic management to strategic urban planning.
Context & Key Challenges
Diverse Data Streams
Multiple organizations—transport, police, aviation, school buses—collected large volumes of information, each using unique formats and tools.
Decision Blind Spots
With no cohesive view of daily, seasonal, or event-driven patterns, leadership found it difficult to spot unusual trends or respond swiftly to emerging issues.
Technical Barriers to Access
Combining data from legacy databases, sensor APIs, and simulation platforms required specialized alignment, making correlation slow and cumbersome.
Project Objectives
Consolidate all mobility-related data into a governed architecture with consistent naming conventions and time references.
Accelerated Analysis & Reporting
Reduce the integration and reporting cycle from weeks to hours or minutes, enabling real-time decision-making.
Encourage shared data usage among multiple departments through role-based access, fostering aligned strategies and transparent governance.
Approach & Methodology
Research & Benchmarking
User Studies & Workshops
Conducted detailed sessions with stakeholders to document current processes, pain points, and desired outcomes.
Global Mobility Models
Compared best practices from leading international transit authorities to devise an optimal architecture for Abu Dhabi.
Data Ecosystem Revamp
Strategic Partnership
Teamed with Aimsun for AI-driven data preparation, while Pixonal managed the overall design of the unified platform.
Holistic Framework
Integrated historical logs, real-time sensor data, and simulation outputs into a standardized environment—enabling seamless layering and cross-comparison.
Robust Governance Protocols
Implemented a flexible permission model for secure data sharing without compromising ownership or confidentiality.
Advanced Correlation & Visualization
Immersive Map-Based Dashboards
Merged speed, accident, and ridership data onto interactive 2D/3D maps, making complex patterns easier to grasp.
Dynamic Time-Series Analysis
Equipped users with “time machine” features that jump between past records, current stats, and simulated predictions for future scenarios.
Storytelling Framework
Provided narrative-building tools that assemble correlated data into clear, actionable presentations—for example, exploring the chain reaction of an accident on surrounding junctions.
Key Discoveries
& Milestones
Instant Normal vs. Anomalous Detection
Agencies can quickly identify whether traffic issues stem from seasonal fluctuations, events, or sudden disruptions—all in one interface.
Accident Analysis as a Model
By fusing location, time, and environment data, teams uncovered patterns that would have been invisible with siloed reporting—paving the way for similar approaches to other KPIs.
950+ Curated Insights
Standardized definitions and a shared architecture now produce a rich catalog of analytics, revealing everything from commuter trends to multi-agency collaboration opportunities.
Tangible Results
Rapid Turnaround
Preparing data-driven briefs and maps once took weeks of manual merging; it now takes minutes—boosting operational agility.
Elevated Collaboration
Police, transport, and aviation departments align their strategies more effectively, avoiding duplicate work and fragmented policies.
Informed Leadership
Senior decision-makers see real-time dashboards that offer context on whether spikes or dips are part of normal trends, ensuring swift, well-grounded directives.
