Next Generation Traffic Signal Control Will Be Driven by AI

Monday, June 17, 2024

1:30 PM - 2:45 PM ET

Room: Galleria

Primary Author(s)

Paul Slone, PE, PTOE

Director of Traffic Operations & ITS
Cincar Consulting Group, LLC
Woodstock, GA, United States

Submitter(s)

PS

Paul Slone, PE, PTOE

Cincar Consulting Group, LLC
Woodstock, Georgia, United States

Abstract:

Traditional methods for traffic signal coordination have relied on fixed-cycle timing plans, occasionally incorporating technological advancements such as traffic-responsive operation or an adaptive system. Adaptive signal systems marked a pivotal shift, promising substantial improvements in traffic flow, but came with increased costs of maintenance and technical expertise for transportation agencies. Despite this progress, these adaptive systems still operate within predetermined timing plans crafted by system operators. Their efficacy falters when faced with unusual traffic patterns, such as non-recurring congestion or large-scale special events, posing significant challenges. The pivotal question emerges: can artificial intelligence enable real-time control of traffic signal systems? The answer is yes; AI for coordinated traffic signal systems is currently being studied and will soon be achievable. With existing computational power, scalability, and robust communication infrastructure, the realization of AI-driven real-time traffic signal control is not a matter of if, but when. This presentation will summarize research and trials to date.

Learning Objectives:

Attendees can expect to learn the following from this session:

Participants will gain insights into the historical progression of traffic signal coordination, from conventional fixed-cycle timing plans to revolutionary adaptive signal systems.
Attendees will delve into the limitations of traditional coordinated traffic signal systems, particularly when faced with atypical traffic scenarios like non-recurring congestion and special events.
This presentation will equip the audience with a profound understanding paradigm shift in vehicle detection and communication infrastructure necessary for implementing AI-driven solutions.
Participants will learn about the transformative impact AI integration could have on their skills and knowledge of the evolving landscape of traffic management.