2018/09/15: data from sensors located in vehicles have an important advantage over traditional data-gathering systems:
Currently, city managers and planners are faced with the challenge of relying on incomplete or out of date information.
A less obvious application of Geotab’s dataset is the ability to spot problems like potholes. Aggregated vertical axis accelerometer data from vehicles can be analyzed in near real-time to indicate areas in need of road maintenance. Other aspects of urban life that can be monitored in this way include areas where cars idle, thus wasting fuel and increasing air pollution, and roads where drivers are searching for parking places. Gathering this kind of data would be expensive using other approaches, but emerges naturally from aggregated traffic flows.
Huge datasets generated by sensors on connected vehicles offer interesting new opportunities for urban analytics. But there are naturally privacy concerns, too. Connected vehicles inevitably track the people who drive them. Analyzing the habits of drivers as revealed by their journeys can expose extremely sensitive information - think of repeated visits to a hospital, or unexpected overnight stays at private houses.
I was driving 70 mph on the edge of downtown St. Louis when the exploit began to take hold.
U.S. Senator Ed Markey of Massachusetts has asked automakers to provide information on the security and privacy protections in connected vehicles.