Is the End of the Dispatch? Reducing Traffic in Smart Cities Through the Use of Real-Time Data – Daniel Reitberg

There is a possibility that traffic delays, which are the misery of every commuter’s existence, will soon become a thing of the past.

Real-time traffic management solutions, which are powered by the brilliance of big data and artificial intelligence, are becoming increasingly popular in smart cities. The analysis of traffic patterns in real time is performed by these devices, which function like a digital maestro. They are therefore able to make continuous adjustments to the timing of the traffic lights, so improving the flow of vehicles. Picture yourself never having to run a red light again! Of course, that is not all. There is also the capability for these systems to reroute public transit based on the degrees of congestion, which ensures that buses and trains move quickly through the urban maze.

The potential benefits are obvious: commutes that are more efficient, travel durations that are shorter, and a reduction in the amount of frustration experienced by drivers and commuters. Take a mental picture of a city in which traveling from point A to point B is not a struggle but rather a breeze. On the other hand, accountability comes along with this newly acquired power. Cities have a responsibility to address concerns regarding privacy in relation to the gathering and utilization of real-time traffic data. When it comes to the success of any smart city program, public trust is of the utmost importance, and protecting the privacy of data is an essential component of that jigsaw.

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