Page 47 - CT_AI_Class-8

But have you ever wondered how traffic could be managed more efficiently in busy cities? This is
where smart transportation comes in. Smart transportation uses advanced technologies to help
improve traffic flow, reduce congestion and make roads safer.

By collecting real-time data from sensors, cameras and GPS systems, smart transportation systems
can make better decisions and respond quickly to changing traffic conditions. For example, traffic
lights can be adjusted automatically to reduce waiting times at busy intersections, while vehicles
can be guided along the fastest routes using GPS and real-time traffic updates.

SMART TRANSPORTATION

Traffic Signal Control Violation Detection Route Optimisation

How AI Helps

Artificial Intelligence plays an important role in improving modern transportation systems. It
analyses traffic patterns using information from cameras, sensors and GPS technology to support
better traffic control and management. This information helps in several ways:

 AI-based traffic signal systems can replace traditional time-based traffic signals. In cities like
Delhi and Bengaluru, AI has already been implemented to adjust traffic signal timings based
on real-time traffic conditions, helping to reduce congestion and improve traffic flow.

 AI-powered cameras are now installed in many cities to automatically detect traffic violations
such as speeding or not wearing a helmet. These systems can issue fines automatically,
improving road safety and reducing human error.
 Navigation apps now use AI to analyse traffic data in real time and suggest alternative routes
that help drivers avoid traffic jams, saving time and reducing congestion on busy roads.

By using AI, cities can make traffic management more responsive, reduce delays and improve
safety for everyone.

Ask
AGENT
OrangeAI
In what ways can AI-powered systems reduce congestion in cities through smart transportation?
Study

AI in Agriculture

In India, agriculture relies heavily on hard work and is closely tied to weather conditions.
Traditionally, farmers have used manual observation and their experience to decide when to
water crops, apply fertiliser and manage pests.

Deeper Dive into AI Applications 45