IT 226 4.1 Activity Blog Post for Revision_Chitwood
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Southern New Hampshire University *
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226
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Information Systems
Date
Apr 3, 2024
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docx
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Uploaded by BrigadierMetal12001
IT 226 4-1 Activity: Blog Post for Revision
SnarlReporter
We have a new AI-driven web application, SnarlReporter, that can monitor public traffic cameras throughout the United States and will create real-time visual aids that correlate to congested areas in any city in America. This quick and accurate information will be highly beneficial to customers who rely on accurate data and traffic patterns to understand potential bottlenecks and problems better and get ahead of them before they cause more significant issues.
The developers behind SnarlReporter aim to provide a quality tool that city planners can utilize at various levels of government. This will allow other transportation projects, such as rail and roadway changes, to improve the flow of traffic and reduce commute times while reducing more expensive traffic
study costs. By using publicly available data, combined with the power of AI, we can keep the cost at a lower level to the clients.
Our plan with SnarlReporter is to provide individual users with free consumer access to real-
time traffic data. However, they will not be able to download the data. They will be able to utilize real-
time traffic visualizations and see any problem areas ahead of time, so they can then adjust their routes based on the level of congestion. If users want more options than just being able to view the live data, then they will be able to purchase the additional features. Some of the features available are detailed reports, with the ability to narrow the information to specific times; they can customize the app in various ways to improve the user experience, and they can insert custom fields into the reports to better
suit their needs. There is an extensive owner's manual to aid the consumer with any questions, and it will explain all the features available to them.
The developers of this app, Optimum Wave Development, are committed to providing ongoing improvements and changes to the app to ensure a quality product. Accident data will be incorporated to
assist in explaining some traffic jams, and the improvement of AI will help explain other random events. The data smoothing techniques could also be implemented to further increase SnarlReporter's accuracy.
As more users provide feedback and contribute to the data collection, our accuracy and effectiveness will continue to increase.
When you choose to invest in our company, you are investing in better traffic management solutions, making way for more efficient and smoother traffic analysis that will continue to grow and adapt to meet all your needs.
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