Term 251

SMART COMMUTE : a Computer Vision Enabled Bus Routing and Scheduling System in Dhahran and Al Khobar

Project Type: Self-Initiated

Project Description

Despite major investments, public transportation in Dhahran and Al Khobar remains under-optimized, resulting in long waits, inefficient routes, and low seat utilization. Smart Commute addresses this by uniting computer vision, AI, and mathematical optimization on a secure private cloud to deliver real-time, data-driven routing and scheduling. Riders receive personalized trip recommendations, while agencies gain optimized schedules and fleet allocations—reducing costs, improving service quality, and supporting sustainable mobility. Testing confirmed that Smart Commute delivers the real-time performance needed to improve transit efficiency: routing updated in under a second, computer vision maintained high accuracy across conditions, the backend handled heavy load reliably, and the mobile app performed smoothly on lower-end devices. These results validate the system’s ability to support responsive, data-driven operations that reduce waiting times and improve overall service quality.

Poster not available