Artificial Intelligence(AI) is rapidly transforming the landscape of transportation infrastructure, intelligent transportation systems, and traffic signal maintenance. From optimizing traffic flow to enhancing safety, AI-powered sensors and connective infrastructure are enabling unprecedented levels of monitoring, prediction, and optimization across our roadways. However, when it comes to the specific details of preventative maintenance for traffic signals, many agencies are still missing out on the full potential of AI. While robust preventative maintenance programs typically include monthly services to prevent common issues, our research revealed that only about 15% are currently leveraging AI for their preventative maintenance effort (based on interviews of select customers from within our public agency accounts). This represents a significant missed opportunity. Understandably many public agencies are not yet able to seize the full AI potential as many of their devices, detectors and sensors many still be early generational and not fully connected to the software systems that can fuel the machine learning required of AI. So, how exactly can AI play a pivotal role in traffic signal maintenance? Unlike traditional data analysis, AI empowers us to delve into more complex and comprehensive datasets. These richer datasets provide invaluable insights, guiding traffic signal maintenance crews to focus their limited time and resources on the most critical and impactful aspects of a traffic signal maintenance program. Here are a few examples of how AI can elevate your traffic signal maintenance:
