American roadways are deadlier than ever, with traffic fatalities rising 7.2% last year. Policy changes aside, how can new technologies such as real-time traffic monitoring and signaling, advanced data analytics, and personal electric vehicles increase safety and enforcement? How does the street of the future support all modes safely?

Our guest this week, Drover AI co-founder and Chief Business Officer Alex Nesic, did precisely that with on-demand scooters and he joins the show to explain the new possibilities his company has unleashed. From regulatory compliance to safety-enhancing ADAS-like features, we discuss the ways that a camera can address some of the biggest challenges that shared scooters present.

With the popularity of these programs across the globe, the parking of these free-floating vehicles remains the biggest challenge and is a source of palpable friction between the various stakeholders in cities - including operators, regulatory authorities, elected officials and community advocacy groups.

In this episode, we're talking with Alex Nesic, co-founder and Chief Business Officer at Drover. Drover provides an advanced IoT module for micromobility vehicles that is capable of granular infrastructure distinction in real time without the need for ground truth information or precise GPS.

The good news is that Artificial Intelligence (AI) is proving itself to be quite capable at mastering the type of boring yet impactful decision-making in the micromobility space that humans often seem unwilling to do — i.e. obey regulations.

While there are in fact numerous examples of the private sector doing things more efficiently and effectively than the public sector (see parcel delivery), transit is historically not one of them.