Wednesday, July 11, 2012
Fundamentals of Traffic Management - NTP server
It is reported that there are so many cars on the road and to test homes and just take a short trip in rush hour to realize that this is very true. Congestion is a major problem in our towns and cities and control the traffic and keep it moving is one of the most essential aspects of reducing congestion.
Security is also a concern on our roads since the chances that all those vehicles traveling around without bumping into each other occasionally are close to zero, but the problem can be exemplified by poor traffic management.
When it comes to controlling the flow of traffic in our cities there are more weapons than the humble traffic light. In some cities these simple devices are synchronized lights that stop traffic on a road and allow the other and vice versa. However, the potential of how the lights can reduce congestion is now being done, and thanks to the millisecond synchronization using NTP servers is dramatically reducing congestion in major cities worldwide.
Instead of just simple time segments green, amber and red traffic lights can meet the needs of the road, allowing more cars going in one direction, while others are reduced. Can also be used in conjunction with each other allowing the green light for cars on major routes.
However, all this is only possible if the system of traffic lights throughout the city is locked and can only be achieved with an NTP time server.
NTP (Network Time Protocol) is an algorithm that is widely used for synchronization purposes. A NTP server will receive a time signal from an accurate source (usually an atomic clock) and the NTP software distributed across devices in a network (in this case the light).
The NTP will continue to monitor the time of each device and ensure that corresponds to the time signal, ensuring that all devices (traffic lights) are perfectly synchronized together allowing all the traffic light system is managed as a single, flexible management system traffic lights rather than individually randomized.
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