Towards a Proactive and Data-Driven Future for Incident Management

Over the past few years, I’ve frequently shared my vision on LinkedIn regarding the future of incident management. It’s becoming increasingly clear to me that the greatest impact no longer comes from reactive measures – simply responding to an incident once it occurs – but from a proactive, data-driven approach. The technology is here, and so is the knowledge. Now it’s time for incident management to evolve from an event-based response to a more integrated and proactive approach.

Incident Management: Time for the Next Step?

Incident management has achieved significant milestones over the past decades, yet it remains largely a process that only kicks into action once an incident occurs. While this model is valuable, proactive data analysis and AI-driven forecasting can take it a step further. This shifts the focus from what is happening to what could happen, allowing us to save precious time that can be crucial.

Through proactive data analysis, we can identify patterns that indicate increased risk—not only at specific locations or times but also with variables like weather- and infrastructure conditions, traffic flows, and seasonal factors. By anticipating these risks, we can implement warnings and preventive measures, potentially even avoiding incidents before they occur.

The Power of AI and Data Analysis in Incident Management

As I’ve shared in previous articles, I’m convinced that AI and machine learning play a pivotal role in the future of incident management. By analyzing vast amounts of data—from traffic patterns and weather models to historical incident data—AI models can detect patterns that would otherwise go unnoticed. These insights make it possible to act proactively.

One example I’ve highlighted before is Automatic Incident Detection (AID). AID enables traffic control centers to detect incidents in real-time and automatically respond using video footage or sensor data. By combining this technology with predictive AI models, we can even forecast where and when there’s a high risk of an incident occurring. This offers unprecedented opportunities to manage incidents faster, better, and more effectively.

From Incident Management to Incident Prevention

The shift from a reactive to a proactive model is not only a matter of technology but also of strategy. As I’ve pointed out before, the role of collaboration between public and private sectors is crucial. Governments, infrastructure managers, and technology companies must unite to effectively utilize and share data and technologies. An integrated approach fosters a broad commitment, bringing together aspects like road safety, sustainability, and innovation.

Additionally, there is the challenge of harmonizing our processes and technologies. In Europe, we already see initiatives aimed at cross-border collaboration and standardization, yet there is more work to be done. By aligning our systems and promoting real-time data exchange, we can act proactively and consistently, even across borders.

Ready for the Next Phase

?With these developments in mind, I am determined to contribute to the evolution of incident management. Proactive data analysis and AI-driven forecasting, in my view, are the keys to the future of a safe, efficient, and data-driven traffic system. That’s why I’m happy to do my part by supporting research, specifically at the University of Castellon, where I cooperate to advance the latest innovations and insights in this area.

By embracing and applying these technologies, we can not only manage incidents but, in many cases, prevent them. I look forward to see partners across the sector—both public and private—to further shape this transition and realize our shared ambitions.

Together, we can define the future of incident management and prepare our infrastructure for a new era of safety and efficiency. Let’s not wait for the next incident to react but instead take steps to prevent as many as we can.

Leo van den Berg works as an independent consultant in the area?where ITS and IT meet. He has over 40 years experience in the development of Traffic Management & Enforcement systems. Leo is an enthusiastic Technology Scout who tries to find solutions for real-world problems.??

Header image: Traffic Control Centre Zuid-West Nederland (c) Hoogaerts Lichttechniek