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 allocationsط£آ¢أ¢â€ڑآ¬أ¢â‚¬â€Œreducing 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 systemط£آ¢أ¢â€ڑآ¬أ¢â€‍آ¢s ability to support responsive, data-driven operations that reduce waiting times and improve overall service quality.