Big Data & Smart City

Transportation behavior is changing rapidly with an unprecedented amount of data being generated at high speed and precision from sensors, mobile phones, smart cards, devices, apps, and social media feeds, most of which produce real-time data streams. This wealth of data, coupled with a boom of machine learning capabilities and cheap computing power is revolutionizing the way we manage our transportation network and plan for future mobility & city challenges.

At Surface Mobility, we understand the power of data in transportation, from building predictive models, to optimizing operations and understanding travel behavior. We understand transport & city authorities need for timely answers and actionable insights to their most pressing issues.

Our Big Data team is made up of: Smart City / Smart Mobility Consultants, Business & Data Analysts, Data Scientists, and Data Engineers, who will work hand in hand with our technology partners, to cover business, transportation, and IT aspects simultaneously.

Selected Projects

Enterprise Big Data Platform

3D Visualisation and Data-In-Motion

The Enterprise Big Data Platform aims to enable the ingestion of complex unstructured data-sets, coming from disparate sources in high volume, velocity, and variety, into a data lake, to enable the fusion and processing of this data for timely decision making and transportation planning.

The big data platform shall enable the storing and processing of complex datasets such as:
– Geo-location data
– Sensor data
– Image / video feeds from CCTV & drones
– Social media feeds
– Real-time transactions and app usage

Once all data has been ingested in the data lake in its raw form, data scientists will be able to apply advanced machine learning/artificial intelligence algorithms and build predictive models to enable RTA to enhance its planning & operations capabilities, and enhance data sharing among RTA’s agencies which makes data more valuable and information-telling.

Below are some of the use cases developed for RTA:

– Pro-active congestion detection & prediction
– Multi-modal real-time trip information
– Short-term & long-term demand prediction for all modes of transport (TDM)
– Route optimization
– Automated anomaly detection
– Traveler behavior analysis and trip types
– Impact analysis and scenario simulation
– Mobility-as-a-service planning
– Feasibility studies of new products & services
– Measuring & reducing environmental impact
– Predictive Maintenance
– Population density and movement
– Face recognition, video/audio analytics, pattern recognition
– Sentimental analysis based on social media
– Moment marketing & customer loyalty programs
– Dynamic pricing and revenue generation
– 3rd party data usage / data monetization

DOWNLOAD PROJECT SHEET

Following the development of a 2D Business Intelligence (BI) report, detailing taxi demand and origin-destination across the city of Dubai, Surface Mobility Consultants developed an interactive 3D visualization, enabling users to quickly and seamlessly identify taxi demand hotspots and view data-in-motion for individual taxi journeys between selected origin-destination (OD) points. A 3D base-map, including iconic buildings, was developed for the city of Dubai, with taxi demand and OD data then represented in 3D form.

Although displaying the same data as the 2D report, the 3D visualization adds greater context and interactivity, enabling users to quickly identify trends and hotspots for taxi demand. The visualization includes a timeline and date selection interface, enabling users to quickly visualize changes over time. The 3D visualization aids the perception of the depth of high-density data and can reveal anomalies that are not always apparent in other mediums. The 3D visualization allows users to view data from different perspectives and with a greater degree of freedom and interactivity when compared to traditional 2D BI reports.

DOWNLOAD PROJECT SHEET

Enterprise Big Data Platform

The Enterprise Big Data Platform aims to enable the ingestion of complex unstructured data-sets, coming from disparate sources in high volume, velocity, and variety, into a data lake, to enable the fusion and processing of this data for timely decision making and transportation planning.

The big data platform shall enable the storing and processing of complex datasets such as:
– Geo-location data
– Sensor data
– Image / video feeds from CCTV & drones
– Social media feeds
– Real-time transactions and app usage

Once all data has been ingested in the data lake in its raw form, data scientists will be able to apply advanced machine learning/artificial intelligence algorithms and build predictive models to enable RTA to enhance its planning & operations capabilities, and enhance data sharing among RTA’s agencies which makes data more valuable and information-telling.

Below are some of the use cases developed for RTA:

– Pro-active congestion detection & prediction
– Multi-modal real-time trip information
– Short-term & long-term demand prediction for all modes of transport (TDM)
– Route optimization
– Automated anomaly detection
– Traveler behavior analysis and trip types
– Impact analysis and scenario simulation
– Mobility-as-a-service planning
– Feasibility studies of new products & services
– Measuring & reducing environmental impact
– Predictive Maintenance
– Population density and movement
– Face recognition, video/audio analytics, pattern recognition
– Sentimental analysis based on social media
– Moment marketing & customer loyalty programs
– Dynamic pricing and revenue generation
– 3rd party data usage / data monetization

DOWNLOAD PROJECT SHEET

3D Visualisation and Data-In-Motion

Following the development of a 2D Business Intelligence (BI) report, detailing taxi demand and origin-destination across the city of Dubai, Surface Mobility Consultants developed an interactive 3D visualization, enabling users to quickly and seamlessly identify taxi demand hotspots and view data-in-motion for individual taxi journeys between selected origin-destination (OD) points. A 3D base-map, including iconic buildings, was developed for the city of Dubai, with taxi demand and OD data then represented in 3D form.

Although displaying the same data as the 2D report, the 3D visualization adds greater context and interactivity, enabling users to quickly identify trends and hotspots for taxi demand. The visualization includes a timeline and date selection interface, enabling users to quickly visualize changes over time. The 3D visualization aids the perception of the depth of high-density data and can reveal anomalies that are not always apparent in other mediums. The 3D visualization allows users to view data from different perspectives and with a greater degree of freedom and interactivity when compared to traditional 2D BI reports.

DOWNLOAD PROJECT SHEET

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