Driving Tolling Insights: The Next Wave of Intelligent Tolling Technology

The tolling industry is entering a critical phase of transformation, driven by artificial intelligence (AI), advanced analytics, and connected mobility technologies. From AI-powered tolling systems to real-time traffic data integration, these innovations are redefining how transportation infrastructure is operated, optimized, and experienced.

What is emerging is not simply an evolution of tools, but a structural reinvention of how data flows—across roadside systems, back-office platforms, and customer interaction—are increasingly interconnected. As tolling agencies and operators modernize legacy systems, the industry is shifting toward a fully intelligent, adaptive, and predictive mobility ecosystem.

In this interview, Darius Eshragh, Senior Vice President of Business Solutions North America at Emovis, shares insights on how AI in tolling, digital transformation, cybersecurity, and data-readiness is shaping the next generation of intelligent tolling.

AI and Workforce Transformation

Q: Over the past decade, digital transformation has reshaped how tolling organizations operate. What fundamental shift is now required to move from digitalized processes to truly intelligent, AI-enabled operations?

A: Darius Eshragh: Digital transformation laid the essential groundwork for today’s tolling operations by digitizing processes, integrating legacy systems, and making data more accessible. The move to AI-enabled operations is a natural extension of that journey, not a replacement of it. Digitalization helped organizations streamline and scale what they already knew how to do; intelligence builds on that foundation by enabling systems to learn, adapt, and support more dynamic, real-time decision making.

The key shift now is recognizing where traditional, rules-based solutions have reached their limits in meeting growing business needs and operational complexity. Rather than rearchitecting everything, organizations need to thoughtfully layer AI-enabled capabilities on top of existing platforms while augmenting analytics, automating judgment heavy tasks, and surfacing insights that teams couldn’t previously see. When executed correctly, AI becomes a practical enhancement to trusted systems, helping tolling organizations move from reactive to more predictive, resilient, and adaptive operations.

Read the full interview featuring Darius Eshragh’s exclusive insights.