Autonomous Driving

In Kyle’s notes, autonomous driving surfaces as a concrete municipal pilot rather than an abstract technology trend. The City of Dublin, Ohio — where Doug McCullough is CIO — “jumped in with both feet,” joining the 33 Smart Mobility Corridor council of cities and securing a USDOT grant to lay fiber/wireless infrastructure enabling autonomous driving along the corridor. McCullough’s CIO portfolio spans AI, autonomous driving, IoT, and AR, and Dublin partners with Ohio State on environmental sensors and with vendors like TTS and NoTraffic on traffic-signal timing — the connective tissue an AV corridor depends on.

The thread running through these notes is that the hard part of autonomous driving for a small city is less the vehicle than the surrounding infrastructure, data, and procurement: fiber backbones, sensor networks, and the willingness to fund early-stage experiments. It sits alongside the broader Autonomous Vehicles and Autonomous Mobility threads in Kyle’s smart-city / govtech work.

Context: Autonomous (self-driving) vehicle technology uses sensors, mapping, and machine learning to operate cars with reduced or no human input. In the late-2010s, USDOT Smart Mobility / connected-corridor grants funded municipal infrastructure (fiber, V2X communications) to support such pilots; Ohio’s “33 Smart Mobility Corridor” along US Route 33 was one such effort.

Where this appears

• City of Dublin — the Smart Mobility Corridor and USDOT fiber/wireless grant enabling autonomous driving along the corridor.
• Doug McCullough — Dublin’s CIO, whose portfolio includes autonomous driving alongside AI, IoT, and AR.