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The Mobility program consists of two areas: Real time Data Capture and Management and Dynamic Mobility Applications.

Data from multiple sources and of multiple types (such as location data, transit data, weather data, vehicle status data and infrastructure data) are captured, cleaned and integrated into a data environment. The data is then used by multiple applications:

•enhanced weather applications (e.g., real-time weather advisory information or warning systems)

•real-time transit signal priority

•real-time traveler information systems

•environmental applications, such as eco drive

•safety alerts, queue warning systems

Real-time Data Capture and Management addresses the capture, cleaning and integration of data in real time. Dynamic Mobility applications addresses the use of data in real time to develop and deploy enhanced or transformative mobility applications that will enable system users, and system managers to:

•make more informed travel choices

•enable better system operations for optimal performance

•improve major investment plans

This slide is an illustrative example. It is not meant to be an exhaustive list of all applications that the Dynamic Mobility Applications program will consider nor does it list all the data sources that the Data Capture and Management program will consider.

Next we will examine Dynamic Mobility Applications.

As mentioned previously, we don’t collect data for nothing. We need to do something useful with it, specifically developing applications that maximize system productivity and enhance mobility of individuals within the system. The focus is primarily on public sector applications but we’re not ruling out private sector applications.

The program will leverage multi-source data to develop and assess the applications that show potential to improve dynamic decision making.

We will identify the potential benefits that can be realized by these applications. The applications will be prioritized with the help of stakeholders based on the potential benefits, deployment costs, institutional and technical risks, and stakeholder acceptance.

Only when we have proven in a smaller test environment or a demonstration that it really works, can we move to a deployment phase.