Traffic and congestion are major problems for cities across the world. In fact, these problems are currently poised to worsen in the future, since these difficulties will increase as urban population centers continue to grow. Cities are under growing pressure to improve their infrastructure; however, they have less space and often tightening budgets. Data gathered from traffic patterns are becoming part of the solution. This addresses congestion, gridlock, pollution, and vehicular accidents. Most cities typically decide where to place new electronic crosswalks, traffic lights, turn restrictions, medians, and other upgrades based on accident reports. The difficulty with relying on these reports alone is that drivers don’t mention avoided accidents to the police, etc. This can mean that an intersection has become dangerous, but city officials have no way to know until it’s too late. Without analytics, cities are powerless to prevent initial accidents and injuries. Instead, they have to react after incidents happen and analytics can help pinpoint problem areas before issues even arise. Telematics Data from IoT-Enabled DevicesUsing what’s known as the Internet of Things data (IoT), cities can begin the transition to smart cities. Large urban centers have hundreds of traffic cameras; but, it’s almost impossible to manage every individual camera feed. Traffic cameras can be upgraded using analytics to pinpoint problematic areas. Analytics monitors the bulk of the data collected. Meanwhile, city employees can pay closer attention to data feeds from important areas. Telematics, a subset of IoT, utilizes sensors like GPS mounted on vehicles. Numerous systems already exist, such as on taxis, commercial trucks, etc. These vehicles use sensors to monitor speed, braking, and maneuvering to identify dangerous drivers. For instance, if vehicles are braking hard in a specific intersection or on a certain road, there may be a need for a turn lane. Telematics can also incorporate data gathered from outside vehicles. Houston is a prominent example of a city that uses IoT devices on the outside of vehicles to monitor air quality. Vehicle-mounted cameras can also analyze interactions with pedestrians or on-the-ground traffic conditions.