Aired December 13, 2018
In today’s era of connected everything, intelligent transportation systems are poised to change how people live. Real-time information on traffic, road conditions, parking availability and more help to reduce congestion and create safer, more efficient commuting.
These data-driven connected systems create petabytes of data that must be rapidly processed and reacted to, in order to enable smarter decision making at the edge.
Intelligent transportation requires a distributed architecture which eliminates single points of failure and ensures highly-reliable automation at or near locations and events of interest. The architecture must enable a robust bi-directional data flow of information from IoT sensors to targeted recipients. Architecting your system based on a framework created for autonomous systems will address these challenges as well as reduce risk and provide a faster path to safety certification.
Join technical experts from RTI and Phizzle for a live demonstration and to learn:
- Current challenges for intelligent transportation systems
- How a distributed approach using a databus for data in motion addresses the real-world challenges of autonomous vehicles and Integrated Corridor Management
- Best practices in managing extreme data volume with an intelligent connectivity framework for edge computing.
- How to bridge the cloud-to-edge continuum for intelligent transportation systems.
Speakers
Mark Carrier, Market Development Director, Process Automation, RTI
Neil Frost, CEO, iSAHA
Ryan Brady, VP of Engineering, Phizzle
Michael Patrick, SVP of Technology, Phizzle