The Kentucky Transportation Cabinet (KYTC) has utilized Elasticsearch in a production environment since 2016. The current architecture is an on-premise implementation consisting of five nodes, each containing 48 cores, 64GB RAM, and 4TB disks with plans to recreate the Elasticsearch implementation on Google Cloud before the end of the calendar year. Today's presentation will demonstrate the impact of big data and Elasticsearch, specifically, within the Transportation industry. Use cases from the Kentucky Transportation Cabinet will include: Incident/Crash Detection, Traveler Information Systems, Roadway & Work Zone Monitoring, Traffic Impact Studies, Snow and Ice Operations Decision Support, and several other use cases on the horizon. The presentation will also offer a sneak peak of work being done by AEM in cooperation with the Federal Highway Administration (FHWA) which may help to make Elasticsearch a staple among state and local Transportation agencies.
Chris Lambert worked for the Kentucky Transportation Cabinet (KYTC) for 22 years where he served in various positions. His most recent position was in Intelligent Transportation Systems where his responsibilities included: managing the public-private-partnership with Google/Waze and implementing a real-time data system which supports Traveler Information System (GoKY), Automated Crash Detection, Snow and Ice Decision Support, and Work Zone Monitoring. Chris recently transitioned to the private sector and now works for Applied Engineering Management (AEM), a Virginia based company, as part of their Transportation Data Science team.
Jeremy Gould: is a Systems Consultant with Kentucky Transportation Cabinet where he is the lead for ArcGIS Server and backup for ArcSDE. For the past 5 years, Jeremy has been instrumental in implementing KYTCs a Real-Time/Big Data Intelligent Transportation Systems solutions leveraging open source products such as Hadoop and the Elastic stack. He has a Bachelor in Mathematics from Kentucky State University and a Masters in Engineering GIS from the University of Colorado at Denver.