Page 177 - Ebook HTKH 2024

can help reduce urban planning costs by up to 30% due to its ability to analyze large
data sets and simulate development scenarios.

Prediction and Simulation: AI has the ability to analyze large data sets and
provide accurate predictive models for climate change, land degradation, and changes
in ecosystems. These predictions assist resource and environmental management
agencies in making timely and informed decisions, thereby minimizing environmental
risks. A study by MIT shows that AI can detect air pollution sources with 90% accuracy
through analysis of data from air sensors and satellite imagery. AI can improve the
accuracy of weather prediction models by up to 25% compared to traditional methods,
enhancing the capacity to respond to extreme weather events.

These figures demonstrate that AI not only has the capacity to improve efficiency
in environmental resource management but also plays a crucial role in protecting and
maintaining the sustainability of natural ecosystems.
Parking Management and Support for Autonomous Vehicles (Self-Driving
Cars, Drones):
Smart Parking Solutions: AI can assist in locating available parking spots and

optimizing parking space usage in urban areas, reducing search time and traffic
congestion. A study by C40 Cities indicates that the use of AI technologies in parking
management can reduce parking search time by up to 30%, thereby minimizing
congestion and CO2 emissions.
Vehicle Sharing and Multimodal Transportation: AI supports vehicle-sharing
platforms and multimodal transportation services, helping residents easily choose
different transportation options and optimize routes. AI is a core technology in

autonomous vehicles, enabling them to perceive their surroundings, make real-time
decisions, and improve traffic safety. Studies show that the adoption of self-driving cars
can reduce traffic congestion by up to 50% by optimizing flow and vehicle coordination.
According to a report by Waymo, self-driving cars can reduce traffic accidents by up to
94% compared to traditional vehicles due to their ability to quickly analyze and respond
to their environment.

1.1. Solution
Vietnam is at a critical turning point in balancing economic growth with
environmental sustainability. Over the past decade, the country has made progress in
renewable energy, sustainable agriculture, and environmentally friendly industries.
However, challenges remain, such as:
Environmental degradation: Due to rapid industrial growth, deforestation, air and
water pollution, as well as improper waste management, these issues have become
increasingly noticeable.

Energy demand: Fossil fuels still dominate the energy mix, although renewable
energy sources like wind and solar are gaining more attention.
Policy implementation: Although Vietnam has enacted policies for sustainable
growth, the enforcement and application of these policies are often weak.

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