Term 252

Predictive Modeling of Traffic Demand Using Machine Learning

Project Type: Self-Initiated

Project Description

This infrastructure model leverages a data-driven, adaptive system that dynamically coordinates intersection signal timings to optimize urban traffic flow and significantly reduce commuter travel times. Additionally, it incorporates a decentralized onsite treatment approach for waste or water management. By providing localized processing, this method effectively eliminates the high logistical costs and inefficiencies associated with transporting materials to centralized facilities.