In today’s world, we have almost everything with the term smart such as smartphone, smart TV, smart cities, etc. A smart traffic management system is among them. The thing with the term smart is due to the use of IoT, deep learning, and machine learning. Here have a look at the uses of internet of things (IoTs):
1. smart traffic signals
Looking like your emblematic stoplight, smart traffic signals use a wide range of sensors for traffic monitoring in real-time. Often, the aim is for the reduction of time cars spend idle. With the use of IoT technology, there is an ease of communication between several signals and the adaption in the change of traffic conditions in real-time. It helps in reducing traffic jams and carbon emissions.
2. emergency assistance
As per a study, road crashes are one of the leading death causes in people in 1-54 age groups. Driving to work or getting into cars is a highly dangerous job that people have to face in their daily life. The use of AI and IoT in the traffic management system makes this job safer. It facilitates the authority to have real-time accident detection and notification. There is a reduction in time to attend injured persons.
3. Optimised commutes with apps
With locating tracking or similar apps, the cornered authority has an idea about the exact location and speed of vehicles moving on roads in a particular area/city. With the collected data, the traffic police can determine optimal routes, make suggestions, and produce notifications on traffic jams or accidents in advance.
4. Smart parking technology
Finding a place to park vehicles is a frustrating job in cities. Usually, people seem to think that there is no space at designated parking areas. Further, they leave their vehicles anywhere on city roads when they have no easy access to parking spaces. With the IoT, a driver can easily know where the parking space is available at what distance. The technology facilitates drivers to reserve the slot, have directions on the available parking slot, and make payment for parking directly from their smartphones.
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5. Safer fleet management
A transportation or cab/bus/taxi agency manager needs to have an idea about location, number, and ideal condition of trucks and allied vehicles. With AI and IoT based solutions, the agency manager has all the requisite ideas in real-time and finds operating all vehicles smoothly.
6. Prediction on vehicle maintenance
With IoT, drivers have an idea about the time when the vehicle will need fuelling and how parts of vehicles are working. Having an idea about vehicle parts makes the prediction of vehicle maintenance easier. And it helps the fleet manager or a vehicle driver to avoid having more idle time by getting the issue fixed before they start creating problems.
7. Enhanced tolls and ticketing
Paying road tolls is common for vehicle drivers when they are on highways or using parking facilities in a city. Drivers have to wait a lot to pay tolls before crossing the toll plaza on a highway. With an IoT based app, they can pay tolls by showing a respective to a system at the toll plaza and move ahead smoothly. There is a reduction in wait time.
Conclusion
IoT and allied technologies like AI and deep learning have facilitated almost each part of life, including traffic. From traffic signals to accident reduction and paying toll tax, they are making our life better.
