Summary
This white paper discusses the evolution of manual image review into hybrid intelligence within the tolling industry. It outlines how artificial intelligence (AI) has significantly improved tolling operations by enhancing speed, scalability, and cost efficiency through automation. However, the paper emphasizes that technology alone is insufficient to ensure accuracy, compliance, and public trust. It presents the concept of hybrid intelligence, which combines automated systems with human oversight to address the limitations of fully automated processes. The document details the necessity of manual image review in maintaining billing accuracy and preventing revenue leakage, particularly in complex traffic scenarios. It also highlights the role of human operators in training AI systems to adapt to new challenges and improve overall performance. The paper concludes by asserting that a hybrid approach is essential for the future of tolling, ensuring that agencies can meet increasing demands while maintaining operational integrity.
