The concept of smart cities was premised on integrating information, communications and Internet of Things (IoT) technologies like sensors and cameras in a secure fashion to manage a city’s assets. One goal was more effective and cost-efficient management of city infrastructures and property, but equally important was responsiveness to emerging infrastructure events to help cities and their occupants. Several years ago, cities began integrating their traffic management systems with city geographical information systems (GIS) so city planners and also city traffic managers could observe traffic flows, determine maintenance needs, and plan for future infrastructure. Initially these efforts captured static or near real-time information from sensors placed on traffic lights, at intersections, or on other stationary infrastructure assets that the city managed. SEE: Smart cities: The smart person’s guide (TechRepublic) Now, big data and analytics technology can further contribute by adding data collected from sensor feeds of commercial vehicles. A fleet truck accelerometer, for instance, can measure speed increases, braking, and tire vibration. Other truck-equipped sensors can measure weather conditions such as temperature. As trucks travel, this data can be transmitted in real time to commercial fleet managers—and it can also be piped into municipal data repositories to enhance knowledge about… Read full this story
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