Initiative details
The primary challenge addressed is the legacy, reactive model of urban traffic safety, where city planners traditionally implement safety measures only after a history of collisions is recorded. This approach means infrastructure flaws are identified too late, relying on historical crash data rather than prevention.
Additionally, current methods struggle to ensure equity in urban safety design, often failing to effectively integrate vulnerable road users (VRUs) - such as pedestrians and cyclists - into risk simulations. Municipalities also face the hurdle of deploying expensive on-street hardware to gather data, slowing down critical safety interventions. Finally, local authorities frequently lack the objective metrics needed to rank interventions and weigh capital investment costs against potential injury savings before making decisions.
Roadscor fundamentally disrupts this by virtualizing physical networks into dynamic Digital Twins. By shifting from reactive crashes to a proactive risk framework, the platform uses advanced predictive conflict analytics to evaluate infrastructure hazards, traffic volumes, and behavioral patterns simultaneously. It quantifies risk based on conflict likelihood, controllability, and severity, allowing cities to protect VRUs and maximize safety gains within their budgets without relying on costly hardware.
Additionally, current methods struggle to ensure equity in urban safety design, often failing to effectively integrate vulnerable road users (VRUs) - such as pedestrians and cyclists - into risk simulations. Municipalities also face the hurdle of deploying expensive on-street hardware to gather data, slowing down critical safety interventions. Finally, local authorities frequently lack the objective metrics needed to rank interventions and weigh capital investment costs against potential injury savings before making decisions.
Roadscor fundamentally disrupts this by virtualizing physical networks into dynamic Digital Twins. By shifting from reactive crashes to a proactive risk framework, the platform uses advanced predictive conflict analytics to evaluate infrastructure hazards, traffic volumes, and behavioral patterns simultaneously. It quantifies risk based on conflict likelihood, controllability, and severity, allowing cities to protect VRUs and maximize safety gains within their budgets without relying on costly hardware.
Initiative date
Who was/is your target audience?
Public authorities
Others
Topic
Improve vehicles and infrastructure
Organisation details
Roadscor B.V.
Enterprise
Netherlands
Velserbroek, Netherlands
Contact name
Robbert H.C. Lohmann
Telephone number
+31621202685
robbert@roadscor.com
Website link
Project activities
If you work together with external partners, list the most important partners and briefly describe their role.
For the ROADSCOR project, collaboration with key strategic partners was essential to bridging the gap between automotive safety technology and municipal traffic engineering. The most important partners and their roles include:
FIA (Fédération Internationale de l'Automobile): Serves as the project lead and global network partner, bringing the technology to market under a globally trusted banner and unlocking unprecedented access to local authorities worldwide.
VUFO: Acted as a core technical partner, playing a critical role in complementing the predictive conflict analysis with advanced accident research and risk-scoring.
W2Economics: Contributed as a specialized partner to integrate high-resolution financial metrics into the platform, allowing municipal authorities to weigh intervention costs against future injury savings.
EIT Urban Mobility: Acted as the primary funding and innovation partner, providing the critical grants and institutional backing necessary to develop, scale, and refine the platform across European cities.
Aimsun: Serves as the traffic simulation partner, allowing Roadscor’s software-driven risk-quantification to integrate directly into advanced traffic modeling environments.
Haskoning: Serves as the engineering and implementation partner, leveraging their deep expertise in mobility and infrastructure design to help deploy Roadscor's insights into concrete municipal planning.
Siemens: Acted as a technology and infrastructure partner, supporting the digital virtualization of physical road networks and alignment with broader smart city traffic management systems.
FIA (Fédération Internationale de l'Automobile): Serves as the project lead and global network partner, bringing the technology to market under a globally trusted banner and unlocking unprecedented access to local authorities worldwide.
VUFO: Acted as a core technical partner, playing a critical role in complementing the predictive conflict analysis with advanced accident research and risk-scoring.
W2Economics: Contributed as a specialized partner to integrate high-resolution financial metrics into the platform, allowing municipal authorities to weigh intervention costs against future injury savings.
EIT Urban Mobility: Acted as the primary funding and innovation partner, providing the critical grants and institutional backing necessary to develop, scale, and refine the platform across European cities.
Aimsun: Serves as the traffic simulation partner, allowing Roadscor’s software-driven risk-quantification to integrate directly into advanced traffic modeling environments.
Haskoning: Serves as the engineering and implementation partner, leveraging their deep expertise in mobility and infrastructure design to help deploy Roadscor's insights into concrete municipal planning.
Siemens: Acted as a technology and infrastructure partner, supporting the digital virtualization of physical road networks and alignment with broader smart city traffic management systems.
Please describe the project activities you carried/are carrying out and the time period over which these were implemented.
The ROADSCOR project, supported by EIT Urban Mobility, spans from its initial platform launch in 2025 through active scaling and validation phases in 2026. The core activities focus on transitioning municipal road safety from a reactive crash-based model to a proactive, data-based risk framework.
During the initial 2025 phase, activities centered on establishing the cloud-native infrastructure and virtualizing physical road networks into dynamic Digital Twins. The project deployed advanced predictive conflict analytics to simultaneously evaluate infrastructure design, behavioral patterns, and traffic volumes. A major focus was integrating Vulnerable Road Users (VRUs), such as cyclists and pedestrians, directly into these safety simulations.
Moving into 2026, project activities transitioned from pilot validation to active multi-city implementation. Roadscor refined its predictive risk modeling specifically for complex urban intersections across European pilot sites - including Rome, Verona, and Hasselt - and successfully scaled these operations to new locations like Helmond and Heusden-Zolder. Throughout this timeline, validation activities have been carried out in close collaboration with partners like Haskoning, Aimsun, Mic-Hub and the Technical University Eindhoven. These efforts ensure the platform's multi-objective optimization and high-resolution financial risk scores remain technically robust, allowing municipalities to seamlessly rank and justify safety interventions without requiring expensive on-street hardware.
During the initial 2025 phase, activities centered on establishing the cloud-native infrastructure and virtualizing physical road networks into dynamic Digital Twins. The project deployed advanced predictive conflict analytics to simultaneously evaluate infrastructure design, behavioral patterns, and traffic volumes. A major focus was integrating Vulnerable Road Users (VRUs), such as cyclists and pedestrians, directly into these safety simulations.
Moving into 2026, project activities transitioned from pilot validation to active multi-city implementation. Roadscor refined its predictive risk modeling specifically for complex urban intersections across European pilot sites - including Rome, Verona, and Hasselt - and successfully scaled these operations to new locations like Helmond and Heusden-Zolder. Throughout this timeline, validation activities have been carried out in close collaboration with partners like Haskoning, Aimsun, Mic-Hub and the Technical University Eindhoven. These efforts ensure the platform's multi-objective optimization and high-resolution financial risk scores remain technically robust, allowing municipalities to seamlessly rank and justify safety interventions without requiring expensive on-street hardware.
In terms of implementation, what worked well and what challenges did you need to overcome?
What worked exceptionally well was the cloud-native platform's ability to bypass slow, expensive on-street hardware deployments by utilizing a purely software-driven approach, allowing for rapid scalability. A major achievement during this development phase was successfully complementing our core conflict analysis with advanced risk-scoring, realized through close, collaborative cooperation with our partners VUFO and W2Economics.
However, we had to overcome significant implementation hurdles. The primary challenge was technical and paradigm-driven: transforming a tool originally designed for automotive engineers into an intuitive, effective platform for municipal traffic engineers. Within this transition, developing the scoring methodology for unsignalized intersections proved to be the most difficult hurdle. While this challenge required intensive effort, it laid the groundwork for further refinement and dedicated development, which is currently being advanced under a subsequent grant from EIT Urban Mobility for 2026. This ongoing evolution ensures we can successfully shift the deep-seated mindset of local authorities from a legacy, reactive crash-based framework to a proactive risk model, providing high-resolution safety and financial scores that allow cities to confidently protect vulnerable road users (VRUs).
However, we had to overcome significant implementation hurdles. The primary challenge was technical and paradigm-driven: transforming a tool originally designed for automotive engineers into an intuitive, effective platform for municipal traffic engineers. Within this transition, developing the scoring methodology for unsignalized intersections proved to be the most difficult hurdle. While this challenge required intensive effort, it laid the groundwork for further refinement and dedicated development, which is currently being advanced under a subsequent grant from EIT Urban Mobility for 2026. This ongoing evolution ensures we can successfully shift the deep-seated mindset of local authorities from a legacy, reactive crash-based framework to a proactive risk model, providing high-resolution safety and financial scores that allow cities to confidently protect vulnerable road users (VRUs).
Evaluation
Please summarise how you have evaluated the initiative’s impact (e.g. social media reach, survey, feedback forms, statistics).
Roadscor's sole purpose is to calculate the impact of infrastructure design changes before they are made. Evaluation of the initiative’s impact was conducted through a combination of technical performance metrics, stakeholder feedback, and peer validation.
Quantifiable metrics were derived by virtualizing street networks into dynamic Digital Twins and analyzing infrastructure hazards before crashes occurred. By generating objective, high-resolution risk and financial scores for individual road segments, the platform provided municipalities with measurable, data-backed blueprints to quantify injury risks and potential economic savings. This data allowed local authorities to rank interventions based on concrete safety gains and vulnerable road user (VRU) protection against their specific municipal budgets.
In all cases, the findings were confirmed by the stakeholders involved, with learnings successfully integrated into the projects at hand. Input gathered from academia, municipal traffic experts, and civil society confirmed the technical robustness of the risk scores and verified the platform’s high feasibility for global scale. Finally, the platform's methodology and validation framework were rigorously reviewed and approved by key technical partners, ensuring the multi-objective optimization models met the highest standards.
Quantifiable metrics were derived by virtualizing street networks into dynamic Digital Twins and analyzing infrastructure hazards before crashes occurred. By generating objective, high-resolution risk and financial scores for individual road segments, the platform provided municipalities with measurable, data-backed blueprints to quantify injury risks and potential economic savings. This data allowed local authorities to rank interventions based on concrete safety gains and vulnerable road user (VRU) protection against their specific municipal budgets.
In all cases, the findings were confirmed by the stakeholders involved, with learnings successfully integrated into the projects at hand. Input gathered from academia, municipal traffic experts, and civil society confirmed the technical robustness of the risk scores and verified the platform’s high feasibility for global scale. Finally, the platform's methodology and validation framework were rigorously reviewed and approved by key technical partners, ensuring the multi-objective optimization models met the highest standards.
What has been the effect of the activities?
The primary effect of Roadscor’s activities is the successful shift from reactive crash data analysis to proactive infrastructure safety modeling. By virtualizing street networks into dynamic Digital Twins, the platform evaluates hazards before collisions occur. The impact is felt at a global level; launched across Europe, North America, and Asia, the initiative has reached numerous municipalities, including international pilot sites.
Road safety is improved by providing cities with measurable, data-backed blueprints to protect vulnerable road users (VRUs). The effect was measured and evaluated by generating objective, high-resolution risk and financial scores for individual road segments, allowing authorities to quantify injury risks and potential economic savings. In all cases, these predictive findings were confirmed by the stakeholders involved, with learnings directly integrated into the infrastructure projects at hand.
The solution is particularly efficient because, as a cloud-native software platform, it completely bypasses the need for expensive, slow on-street hardware deployments. It complements traditional reactive safety measures by allowing local authorities to rank interventions based on concrete safety gains and VRU protection against municipal budgets before capital investments are made.
Road safety is improved by providing cities with measurable, data-backed blueprints to protect vulnerable road users (VRUs). The effect was measured and evaluated by generating objective, high-resolution risk and financial scores for individual road segments, allowing authorities to quantify injury risks and potential economic savings. In all cases, these predictive findings were confirmed by the stakeholders involved, with learnings directly integrated into the infrastructure projects at hand.
The solution is particularly efficient because, as a cloud-native software platform, it completely bypasses the need for expensive, slow on-street hardware deployments. It complements traditional reactive safety measures by allowing local authorities to rank interventions based on concrete safety gains and VRU protection against municipal budgets before capital investments are made.
Please briefly explain why your initiative is a good example of improving road safety.
This initiative is a prime example of modernizing road safety because it eliminates the tragic prerequisite of waiting for crashes to happen before taking action. By virtualizing physical networks into dynamic Digital Twins, the platform uses advanced conflict analytics to calculate the exact safety and financial impact of infrastructure design changes before they are physically made. This shifts the entire paradigm from reactive remediation to proactive prevention.
Other organizations can easily learn from this good practice by adopting a software-first approach to urban planning. Because the platform is cloud-native and integrates directly into existing modeling environments, it completely bypasses the need for expensive, slow-to-deploy on-street hardware. This makes a similar initiative highly scalable and straightforward for other groups or municipalities to implement worldwide.
Furthermore, it provides a blueprint for inclusive design by integrating vulnerable road users (VRUs)—like pedestrians and cyclists—directly into risk simulations. By complementing conflict analysis with robust risk-scoring and financial metrics, it proves that safety can be quantified objectively, allowing any authority to maximize life-saving interventions within their municipal budgets.
Other organizations can easily learn from this good practice by adopting a software-first approach to urban planning. Because the platform is cloud-native and integrates directly into existing modeling environments, it completely bypasses the need for expensive, slow-to-deploy on-street hardware. This makes a similar initiative highly scalable and straightforward for other groups or municipalities to implement worldwide.
Furthermore, it provides a blueprint for inclusive design by integrating vulnerable road users (VRUs)—like pedestrians and cyclists—directly into risk simulations. By complementing conflict analysis with robust risk-scoring and financial metrics, it proves that safety can be quantified objectively, allowing any authority to maximize life-saving interventions within their municipal budgets.
How have you shared information about your project and its results?
Information about the ROADSCOR project and its results has been disseminated extensively across local, regional, and international channels. The platform's approach and validation results have been showcased at major global mobility platforms and conferences, including Intertraffic Amsterdam, ITS Europe in Sevilla, the ITS World Congress in Atlanta, Tomorrow.Mobility in Barcelona, the OECD IRTAD conference in Athens, and the National Road Safety Congress in the Netherlands.
Furthermore, results and methodologies have been heavily amplified globally via the FIA’s media channels, dedicated public webinars, and our official Vimeo channel, ensuring the initiative is widely recognized far beyond our local partner cities.
Furthermore, results and methodologies have been heavily amplified globally via the FIA’s media channels, dedicated public webinars, and our official Vimeo channel, ensuring the initiative is widely recognized far beyond our local partner cities.
