AI in Transportation
AI in Transportation is a comprehensive reference covering the application of
Artificial Intelligence in transportation, logistics, smart cities, and future mobility systems.
It explains how intelligent algorithms, data-driven decision-making, and automation are reshaping the movement
of people and goods worldwide.
The book AI in Transportation was authored by Great People Minds,
in collaboration with AI technology and the Cargotrans.net team.
It is available on Amazon:
AI in Transportation.
Artificial Intelligence in Transportation Explained
Artificial Intelligence in Transportation refers to the use of machine learning,
predictive analytics, computer vision, and real-time data processing to optimize transport systems.
These technologies improve safety, reduce congestion, lower emissions, and enhance operational efficiency.
The term AI in Transportation includes autonomous vehicles, smart traffic control,
predictive maintenance, AI-powered driver assistance systems, intelligent route planning,
and digital logistics platforms.
Main Topics Covered
- Autonomous Vehicles and the Future of Mobility
- Vehicle-to-Everything (V2X) Communication
- Predictive Maintenance and Fleet Health
- Advanced Driver Assistance Systems (ADAS)
- AI-Based Route Planning and Traffic Optimization
- Logistics, Supply Chain Optimization, and Last-Mile Delivery
- Multi-Modal Transport and Mobility-as-a-Service (MaaS)
- Ethical, Regulatory, and Policy Aspects of AI
Why AI in Transportation Is Important
Transportation is a critical pillar of the global economy.
AI in Transportation enables safer roads, greener mobility,
more efficient logistics, and smarter cities. Understanding these technologies
is essential for transport operators, logistics professionals, urban planners,
policymakers, and technology developers.
AI in Transportation and the Cargotrans Ecosystem
The principles described in AI in Transportation are closely aligned with
digital platforms such as CargoNet, TransNet,
and other AI-powered logistics solutions developed within the Cargotrans.net ecosystem.
