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Markets
Transportation
Roberto Perez
Project Director, TMC Operations, Atlanta, Georgia, USA contact form+1 678 247 2411
Traffic congestion and crashes have steadily risen over the years, significantly impacting daily traffic operations and increasing safety risks to motorists worldwide. As technology continues to rapidly evolve, America’s transportation agencies are seeking to leverage available tools and resources to streamline their traffic management operations and improve safety and mobility. Artificial Intelligence (AI) has emerged as a transformative technology capable of revolutionizing traffic operations by offering powerful, data-driven solutions that can dynamically adapt to real-time conditions, enabling traffic management centers to efficiently optimize traffic flow, reduce congestion and enhance safety.
With more vehicles using roadways than ever before, this presents challenges to traditional traffic management approaches. Today’s traffic management systems are often quite reactive, relying on outdated hardware and disconnected data sources. These limitations only allow for a response after a problem occurs, rather than proactively anticipating the issue and preventing it from happening. This makes it difficult to effectively maintain smooth traffic flow, leading to inefficiencies, increased fuel consumption and frustrated motorists.
AI offers a compelling solution by leveraging the vast amounts of data generated by traffic devices, roadway sensors and connected vehicle infrastructure to provide predictive insights and automate decision-making processes. Utilizing advanced technologies such as adaptive signal control, AI can improve traffic flow by enabling traffic pattern prediction tools to more accurately analyze historical and real-time data and anticipate congestion. In addition, more AI-enabled traffic management solutions such as advanced driver assistance systems and autonomous vehicles are currently being developed. However, these technologies face regulatory and public perception challenges. To achieve widespread adoption, collaboration among government agencies, private industry and the public will be critical.
Various countries, including the United States, are working to create regulatory standards for AI that ensures responsible usage and fosters public acceptance. In the U.S., we have frameworks requiring a unified approach for the safe and responsible development of AI, such as the AI Bill of Rights and the Executive Order on Artificial Intelligence. Worldwide, the European Union AI Act is the most comprehensive law governing AI’s development and use, taking a risk-based approach to regulation. Other countries seek to enforce regulations prioritizing national security and emphasizing data privacy.
As AI regulations continue to evolve, we are leveraging the technology to support transportation agencies across America. In Texas, we are building an AI chatbot using existing policies and procedures to enable operators to efficiently access information through native language search capabilities. In Florida, we have implemented AI-driven scorecards to evaluate the quality of customer service calls and generate insights identifying individual and team coaching opportunities.
The future of traffic management and operations relies on the successful adoption and integration of AI technologies. By implementing AI solutions, we can reshape how we manage traffic, reduce congestion and create a smarter, safer and more sustainable transportation network.
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