At TNEDICCA®, we provide the cloud-based analytical platforms and proprietary insights that can advance our understanding of the probable crash risks inherent in any given road system’s design

Developing effective countermeasures is an important task in the transportation-planning process, as it allows for improvements in mobility and safety for drivers on the road. Yet, due to budget limitations and difficulties in procuring accurate, timely and cost-effective safety statistics, the monitoring of empirical evidence regarding the impact of enacted countermeasures has been executed on a very limited basis. That is why there is a growing importance for data-driven decisions to further improve the overall allocation of available resources.

By utilizing our well-curated content, city planners and engineers will be able to more conveniently understand and monitor the impact of their implemented countermeasures in term of crash frequency and severity.

Our systems also have an innate ability to assist police, fire and rescue forces in better allocating their resources and also changing their patrolling routes, based on the location and frequency of crash occurrence data.


Currently, comprehensive views of overall traffic incidents are only accessible on a small scale. But, in order to fully leverage this data, we must push for it to be attainable in a higher degree. We see opportunities to partner with city and state officials to improve our combined understanding regarding the impact of countermeasures as it relates to reductions in crash frequency and severity. To truly implement these possibilities, both cities and states need to build a foundational digital database on all enacted countermeasures, which would include information such as the project’s anticipated goals and objectives; date of completion; project costs; and variations in the executed design.

By combining this foundational countermeasure information with the dynamic content on crash frequency and severity at each given location, we will have the ability to quickly and cost-effectively broaden our understanding of countermeasure effectiveness in terms of reducing traffic crashes.



Cleansing, geocoding, reverse geocoding, geo-clustering and the standardization of crash data across multiple states


Scalable proprietary processes based on proven methodologies that have been tested and refined over the course of decades and the standardization of crash data across multiple states


Which when combined with our other capabilities ensure we can intuitively partner with insurance carriers and provide capable solutions that can integrate and scale seamlessly


Which allow us to ensure our data is ready and available for use across a variety of devices and systems at any given time.


It allows us to receive and compile ongoing updates regarding historical data, as well as recent crash risk statistics

By putting into action a foundational digital database on all enacted countermeasures and combining it with dynamic content on crash frequency, we have an opportunity to better understand the effectiveness of our countermeasures.