turning big data into the big picture...turning big data into the big picture pete comps conduent,...

Turning Big Data into the Big Picture

Pete CompsConduent, Director, Business Development

Chicago, IL

Xavier DefrenneConduent, Director, Fare Collection

Atlanta, GA

Traditional Reports

• Tabular− Excel

− Business Intelligence tools

− Tables, rows and columns

− Occasional graph

• Geographic Information Systems (GIS)− Require geo-located data (e.g., stop location)

− Typically produce static images

− Limited use

Typical Sources of Transit “Big Data”

• Fleet Management (CAD/AVL) systems

• Automatic Passenger Counters

• Fare collection systems

• GTFS

• Maintenance Management Systems

• Mobility Enablers− TNC (Uber, Lyft)

− Scooters (Lime, etc.)

− Bikeshare

Challenge:

Inconsistent content and format

Data Consolidation

• Use common data elements (e.g., timestamps) to rationalize data from multiple sources

• Build a “data warehouse” that provides a ready source of consolidated data

• Automate data mining process so consolidated data is always current

MAP

Fare Collection

Passenger Counter

GTFS

Maintenance Management

TNC (Uber, Lyft)Scooters

Bikeshare

CAD / AVL

Mobility Analytics Platform (MAP)

MAP helps with fact-based decision making and planning

• “Big Data” mining and consolidation

• Easily defined query parameters

• Analysis using AI

• Visualization− Geographic

− Interactive

− 4th Dimension with scenario playing (am-pm, hour per hour, vehicle progression)

• Simulation

MAP Views

MAP Views

MAP Views

MAP Views

Video

• Example with Houston

• 4 Views− Validations across the network

− Vehicle load

− Schedule adherence (early/late)

− Origin/Destination

Vehicle Load

4

Vehicle Load

Observation of real stop times

(Tap on validations)

Alignment of real / theoretical journey

Passenger alighting forecasting

Inference of vehicle load

3

2

4

1

4

Key Presentation Take-Aways

• “Big Data” mining and consolidation allows comprehensive analytics

• Interactive visualization enhances analysis− Geographic

− 4th dimension animation