GRANT PROGRAM: TÜBİTAK European Interest Group (EIG) CONCERT-Japan

OBJECTIVE: The aim of the project is to develop a proactive, coordinated and adaptive signalized intersection management system. Our approach, which integrates deep learning and innovative traffic control strategies, involves predicting traffic conditions and optimizing traffic light control based on various collected data. The system we developed will reduce traffic delays, travel time and emissions.

EXECUTIVE UNIT: ISBAK Inc.

START DATE: –

PROJECT DURATION: 36 months