Artificial Intelligence in Public Transportation Systems

Artificial Intelligence has revolutionized every aspect of modern living. From healthcare to communication, intelligent systems simplify daily proceedings remarkably. Public transportation systems are the most economical and ecofriendly systems, but they lack popularity in developing countries due to implementation inconsistencies. Here, we shall explore the impactful effects of AI on public transportation to birth intelligent transportation systems. This shall delve into cutting-edge systems like Lane Traffic Control and Automatic Passenger Counters. Integrating AI with transport sytems eases traffic control by providing resilient fleet management/operation systems to fleet managers and real-time information to the passengers to enhance the public transportation experience. Oyster cards in London, Electronic Toll Collection in Florida and TOPIS in Seoul have proved how groundbreaking AI has been in developed countries' public transports. Incorporating Intelligent Transport Systems in developing countries would evolve their traditional public transport systems and incline passengers towards public transport more, thus benefitting the economy, the environment and also themselves.
This session shall take the participants to a zoomed resolution to perceive the importance of intelligent transportation systems in the modern world and the benefits/challenges in implementing them from a non-Euclidean angle. Major systems demonstrating an intersection between AI, transport and communications engineering are to be discussed and technically/practically assessed for implementation purposes. Bus Management Systems, Vehicle enforcement systems and Smart city management systems also provide deeper insights to this power-packed session.

Sanya Sinha

Sanya Sinha

Beta Microsoft Learn Student Ambassador, Community Leader at VoC, Published Author

Other sessions from: Sessions October 2021

A Deep Dive Into Machine Learning

A Deep Dive Into Machine Learning

Come and see how you can integrate machine learning into your daily life a...

Narcisse Mbuyu Narcisse Mbuyu
Roundtable: MS Learn for Personal Development and In-Class

Roundtable: MS Learn for Personal Development and In-Class

We will bring together some students as well as professors who have experie...

Amir Pourabdollah Amir Pourabdollah
Syed Farhan Ahmad Syed Farhan Ahmad
Dmitry Soshnikov Dmitry Soshnikov
Anaam Sayeda Anaam Sayeda
Rishit Dagli Rishit Dagli
Recommendation Systems and their types In our daily lives

Recommendation Systems and their types In our daily lives

Recommendation systems are everywhere in this world from Netflix movie...

Kaushik Tummalapalli Kaushik Tummalapalli
Roundtable: Women in Data Science

Roundtable: Women in Data Science

In this roundtable session, you will hear opinions of several students and...

Ornella Altunyan Ornella Altunyan
Locksley Kolakowski Locksley Kolakowski
Anchal Bhalla Anchal Bhalla
Can a Machine Learning System Outperform Humans in Emotion Recognition?

Can a Machine Learning System Outperform Humans in Emotion Recognition?

In 1961, when Carl Sagan learned that a NASA spacecraft to Venus would...

Valentina Zhang Valentina Zhang
Computer vision made easy with Azure Custom Vision

Computer vision made easy with Azure Custom Vision

Learn how to build a no-code image classification model with the Azure Cus...

Foteini Savvidou Foteini Savvidou