Traffic congestion in road transportation presents a significant issue for both developed and
developing nations. This research leverages artificial intelligence (AI) to assess, retime, and analyze
pre-timed traffic signals in the Oredo local government area of Edo State, where vehicle volume has
recently surged. Traffic data, including vehicle flow, composition, and movement, was manually
recorded at 15-minute intervals. Machine learning techniques, particularly an Artificial Neural