Smart Urban Infrastructure

Problem Statement:

Predicting passenger flow and managing commuter behavior during peak hours presents a major challenge for public transportation systems. There is limited visibility into how many people use services like buses or metros, and what their preferences or destinations are—resulting in overcrowding, inefficiencies, and poor passenger experience.

Objective:

To develop a smart solution that gathers real-time data on commuter activity and provides timely guidance, enabling better planning, reduced congestion, and an improved transit experience.

Solution:

The project proposes a smart, connected bus stop equipped with sensors and communication tools to collect data on passenger volume and preferences, and display real-time travel information. This system supports both commuters and transit operators by enhancing visibility and enabling smarter decision-making.

Role:

I led the R&D team during the initial phase of the project, overseeing the design, development, and deployment of the first prototype of the smart bus stop system.