Now 5G And IoT Can Help Ease  Traffic Congestion In India

One of the most crucial applications of the 5G to the world would be managing the flow of traffic, something that most major countries of the would face, irrespective of the economy. With the help of smart traffic management using the 5G, along with the combination of IoT, there is a great potential to increase the flow of traffic.

Data Used

In order to deploy the technology of 5G and IoT to manage the traffic, lots of data is needed, This data has to be real time for an effective functioning of the system. This data can be the number of vehicles in areas and sensors which will be connected to the traffic signals can take this number with 5G for further analysis. When a threshold is reached, analytics software send a message to traffic display 1km before the signal.

With this information, vehicles can be accurately directed to go to other routes if the original routes are jammed, thereby reducing the traffic. When number of vehicles at signal decreases below the given threshold, messages would be flashed on the display stops urging drivers to drive towards signal. Installing similar system across the city makes all signals congestion free

How Does It Work?

Real time data provided to the 5G network will help it function increase the flow of traffic in cities, based on the real time data. This will be used in combination with IoT, where the IoT sensors would help in collecting this real time data required. Cameras would also play a role here, useful to track vehicles. The traffic lights, in this case, can receive the real-time data regarding the current traffic patterns from cameras on the streets. IoT sensors, along with drones tgether can controbute to this real-time road data. This should allow traffic lights to be more responsive to actual traffic, keeping traffic flowing and reducing unnecessary stops at red lights.

Major cities in the world have already started rolling out such Internet of Things (IoT) initiatives in order to increase their traffic flow. Kansas City, for example, has installed sensors on street lights along a 2.2-mile rail line in March 2016. And Carnegie Mellon University’s recent test of smart traffic lights in Pittsburgh, Pa., led to a 26 percent faster commute and a 40 percent reduction in vehicle wait time. Preliminary tests of smart traffic light systems by Carnegie Mellon University in Pittsburgh yielded a 40 percent decrease in traffic stops, a 21 percent drop in emissions and a 26 percent speedier commute.

The integration of interconnected smart devices and IoT in vehicles is helping us monitor driving behaviour. Such cars are reducing carbon footprints and enabling pro-active driver awareness and education. Automated parking and ticketing save drivers a lot of time. Such intelligent traffic systems are improving the safety of drivers as well as passengers.

Smartly placed cameras are sending large amounts of data, and because real time decisions must be made to maintain optimal traffic flow, high-performance processors and highly optimized artificial intelligence applications that act on data generated by IoT devices are necessary. When autonomous vehicles are connected to the traffic system, alerts, routing information, and instructions between cars and traffic systems will be generated. Systems, both on the cars and in the traffic control infrastructure, will handle gigabytes of data generated. IoT devices in the cars—devices that control car functions, in addition to sensors that monitor hundreds of data inputs—will be used for generating data necessary to operate the vehicle, as well as providing speed, navigation and other controls.

Apart from just solving the traffic issues, 5G and IoT will also help with traffic safety issues. The integration of interconnected smart devices and IoT in vehicles would help to monitor driving behaviour. Such cars are reducing carbon footprints and enabling pro-active driver awareness and education. Automated parking and ticketing save drivers a lot of time. Such intelligent traffic systems are improving the safety of drivers as well as passengers.

In Conclusion

The usual reasons for accidents are human errors, neglecting safety procedures, improper use of equipment, drink and drive and so on. These factors can either be internal or external factors such as the road condition. To help prevent these accidents, both kind must be paid attention to. For this, IoT and 5G together can come and solve the issue.

Use of technology like 5G and IoT in traffic management is making developments, with some cities already deploying it. The key to a successful traffic management system is the use of data from different sources in real-time and processing information to take immediate decisions. It is the need of the hour to leverage enormous amount of data around us and create a more meaningful and smooth living for us.

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