Predictive Analytics in Smart Traffic Management: A Case Study
Firstly, what is predictive analysis?
In technical terms, Predictive analysis is the use of statistics and modeling techniques to determine future performance based on current and historical data.
But, I’m sure we are all familiar with weather prediction which is one of the most common applications of predictive analysis. How do the weather forecasters predict climate every day? By combining real-time observational data with advanced computer models to simulate atmospheric conditions and make predictions based on numerical weather prediction techniques.
That is not all. Predictive analytics have wide range of applications. One of which is Smart Traffic Management.That is what this case study is about.
Introduction:
One of the important feature of a smart city design is having an integrated smart transportation solution.
What is smart traffic management system?
It is a system that provides an efficient and effective way to manage urban traffic, improving safe driving experience and reducing traffic’s negative impacts on the environment and quality of life like accidents.
According to the World Health Organization, every year the lives of approximately 1.19 million people die as a result of a road traffic crash. 20 to 50 million more people suffer non-fatal injuries, with many incurring a disability. Smart traffic system uses advanced technology to manage the traffic flow efficiently and reduce accidents.
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