Research at the Intersection of Big Data and Connected and Autonomous Vehicles

Olli, self driving bus.

UB’s self-driving shuttle, Olli.

UB's Lincoln MKZ, automated driving platform.

UB’s Lincoln MKZ, an automated driving platform

Recently, there has been an unprecedented interest in Connected and Automated Vehicles (CAVs) or self-driving vehicles. CAVs have the potential to revolutionize transportation, resulting in a major paradigm shift in the way we move and move our goods. The current project is conducted in synergy with another project at UB, funded by New York State Energy and Research Development Authority (NYSERDA) and New York State Department of Transportation (NYSDOT). That project is evaluating the technical feasibility, safety and reliability of using CAV technology, and in particular the self-driving shuttle, Olli, manufactured by Local Motors. 

In addition to utilizing Olli, the project is utilizing another Autonomous Vehicle (AV) platform we are developing here at UB.  That second vehicle is a Lincoln MKz outfitted for self-driving by AutonomouStuff.  The current project explored the following seven research tasks: (1) Enabling Autonomous Driving with High-Definition Map Creation and the self-driving open source software, Autoware; (2) Lidar Simulation for Integrated Simulation based Safety Evaluation of CAVs; (3) Sensory Data Exchange Using V2V (Vehicular Ad Hoc Network); (4) Road Geometry Estimation for Advanced Driver Assistance Systems (ADAS) and CAVs; (5) Integrating Autonomous Shuttles with Public Transit; (6) Researching Fifth Generation (5G) Cellular Technology for CAVs; and (7) Acquiring LIDAR and Data Storage Equipment to support research at the intersection of CAV and Big Data.