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

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
Introduction to Siamese Network

Introduction to Siamese Network

This session focuses on building a Siamese Network using TensorFlow functio...

Rohan Raj Rohan Raj
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
Biometric Artificial Intelligence

Biometric Artificial Intelligence

A brief intro about the vast application of Artificial Intelligence and...

Sidharth Sudheer Sidharth Sudheer
Introduction to Azure Health Bot

Introduction to Azure Health Bot

Azure Health Bot enables users to build a Health Bot by using built-in or...

Shreyan J D Fernandes Shreyan J D Fernandes
Yesasvini Sai Meghana Chikkam Yesasvini Sai Meghana Chikkam
Project Plant AI

Project Plant AI

Just the other day I was reading some articles and I saw an online news ar...

Rishit Dagli Rishit Dagli
Rishabh Singh Rishabh Singh
Rucha Yagnik Rucha Yagnik