Tips For Implementing Smart City Technology
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The document discusses the implementation of smart city technology, focusing on the integration of IoT, GIS, and traffic management systems for improved infrastructure management and responsiveness. It emphasizes the importance of management commitment, measuring before-and-after metrics, and the need for adequate training to ensure staff adaptability to new technologies. Additionally, it highlights the use of big data and analytics to enhance diagnostic capabilities for urban infrastructure issues.
Tips For Implementing Smart City Technology
- 1. Tips For Implementing Smart City Technology
- 2. 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.
- 3. 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 urban road infrastructure as truck fleets pass through the area.
- 4. Top-down management commitment There will probably be initial resistance to any new GIS-traffic management approach. "Decision makers have to decide that they are going to replace older data collection and performance measurement tools and streamline existing processes," said Schewel. From there, it becomes a process of fostering this commitment throughout the organization and providing employees with the necessary cross-training.
- 5. Before and after metrics Too often, cities implement new solutions and make infrastructure changes—but neglect to do a follow-up to measure the results. "Processes need be put in place to measure both the before and after effects of making a change based on the analytics," said Schewel. A good way to do this is to measure how you are doing a specific function, like reducing traffic jams, before and after you implement a technology solution. One metric could be how often a particular intersection was getting jammed before implementation of traffic monitoring technology that could alert drivers of delays, and how often the intersection was congested afterward.
- 6. A focus on diagnostics Cities already have GIS systems in place that can perform advanced mapping functions. Now is the time to make these systems more diagnostic-oriented by equipping them with dynamic feeds from trucking fleets and other sources, analytics, and data modeling that better equip staff to diagnose infrastructure hazards and events as they happen. These diagnostics also help planners and those responsible for scheduling maintenance activities because they can see where the infrastructure problems are.
- 7. A system install that includes people as well Too often, system installs are planned without sufficient time or resources set aside for training. A new GIS/traffic management system approach is a big change for many staffers. Cities adding enhanced analytics and IoT shouldn't underestimate this task, or the fact that many workers, used to doing their jobs for years in certain ways, can be nervous and resistant to change. Time should be set aside to help them understand the new system and how it works so they can get confident and comfortable with the new technology before it goes live.