IntelliDrive is a concept that leverages technology to promote connectivity among vehicles, roadway infrastructure, and wireless devices.

Connectivity will create a data-rich environment, providing substantial opportunities to make surface transportation safer, smarter, and more environmentally friendly.

The IntelliDrive 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.

These are the guiding principles.

We will fully leverage high-quality, integrated, multi-source data to support multiple applications.  The Dynamic Mobility Applications program will have to coordinate closely with the Data Capture and Management program to identify promising mobility applications that have similar data needs.

[Figure]:  The figure illustrates how data from mobile and fixed sources are integrated and managed in a data environment under the Data Capture and Management program.  Data and information from this environment can be systematically extracted and used to support the set of identified applications.  These may target specific modes (for example automated safety checks for freight vehicles) or may be multi-modal in nature (e.g., a traveler information service integrating tolling, transit and parking availability or cost).  Cross-modal applications refer specifically to system management functions coordinating control between modes and jurisdictions.

 

A coordinated approach is needed to develop mode-specific or multi-modal applications.   The open source approach will help us to avoid duplication and is definitely more cost effective.  For example, if we have an algorithm that gives us the expected time of arrival of a vehicle at an intersection, it might be valuable for signal optimization, transit signal priority, and eco driving applications.  There’s no reason to build that particular application or foundational element twice.  Let’s build it once and reuse it multiple times.

Risks are a combination of technical and institutional risks.

It is not too late to submit new ideas.