Join the Zero Accidents AI Challenge

The challenge proposed in this call is formulated in the following terms: “How could they use AI with satellite and vehicle data to predict, prevent and manage traffic accidents, thus getting closer to the Zero Accidents vision?”

Objectives

• The “Zero Accidents AI Challenge” has three objectives:
  • Improve infrastructure monitoring: Being able to make a leap in their ability to obtain and manage data in the operation of infrastructures.
  • Identify hazardous situations and anticipate them: Through data analysis, establish risk prediction and accident prevention models.
  • Improved accident management: Manage accidents more effectively when they occur

Focus Areas

• Solutions that integrate the use of Data and AI for accident analysis, prediction, and prevention across the specified areas or other relevant ones, enabling the development of preventive interventions that ensure the safety of team members:
  • Detect patterns that anticipate accidents and apply preventive measures to minimize risks, using historical and real-time data analysis.
  • Implement early warning systems that inform control centers when risk situations are detected, facilitating a rapid and effective intervention.
  • Preemptively position highway maintenance teams using algorithms that identify where an incident is most likely to occur based on data.
  • Improve predictive models using high-quality data and advanced AI algorithms, allowing anticipation of problems in the infrastructure before accidents occur.
  • Optimize the planning of preventive interventions, ensuring that timely measures are taken before risks evolve into serious accidents.
  • Integrate continuous monitoring solutions to identify possible hazards in real-time, such as adverse weather conditions, accidents, or traffic congestion, allowing for a quick and precise response.
  • Develop predictive risk analysis tools that use large volumes of data to predict potential failures in infrastructure or accidents based on traffic behavior.
  • Develop autonomous active infrastructure systems that can communicate danger situations to users and/or vehicles.
• Solutions that integrate the use of Data and AI to improve accident management, enabling a faster and more effective response. These solutions should facilitate safer operations, covering both the specified areas and other relevant ones:
  • Reduce incident detection time by incorporating advanced technology in equipment that activates automatic alerts as soon as the accident occurs.
  • Minimize the response time of emergency teams through optimized coordination and improved communication between control centers and field teams.
  • Optimize the routes and positions of emergency teams to reduce arrival time and increase efficiency in victim protection and care.
  • Minimize the impact on other road users through quick and effective solutions that allow them to continue their route with minimal impact.

Benefits

• Opportunity to become an Abertis Group supplier
• The 3 finalist Solutions participate in Connect & Build Sessions
• The winning solution will be awarded an estimated financial €40,000 to conduct the pilot
• Each of the 3 finalist solutions will a prize of €6.000.

Eligibility Criteria

• They are actively looking for international startups that are duly incorporated as legal and operating entities, actively engaging in their business activities. These companies must provide a justification in their application explaining why their solution might be best suited to address any of the use cases set out by the Zero Accidents AI Challenge. Specific requirements have been established regarding the Technology Readiness Level (TRL) that the solutions proposed by applicants must meet in order to qualify for the “Zero Accidents AI Challenge”. In particular, the solutions submitted should preferably achieve or exceed a TRL of Level 7; however, potentially disruptive solutions below this level may also be considered for evaluation.
• TRL levels preferable by Abertis:
  • TRL 7 – System prototype demonstration in an operating environment:
    • The solution must have a working prototype.
    • It must have been demonstrated in an operating environment that replicates real-world conditions.
    • The functionality and performance of the solution must be demonstrated.
    • While full integration may not be required, it should represent a significant step towards mature operational technology.
  • TRL 8 – Real system completed and qualified through testing and demonstrations in an operating environment:
    • The solution must be found in or have reached the stage of a real and complete system.
    • Rigorous testing and demonstrations must have been carried out in a real-world operating environment.
    • The solution must be fully functional and ready for implementation, with the possibility of some final refinements.
  • TRL 9 – Real system proven through successful operations:
    • If the solution has reached TRL 9, it means that it is actively deployed and in use.
    • If must have a proven track record of successful operations, demonstrating reliability and effectiveness.
    • While ongoing monitoring and maintenance may be necessary, it should be considered a mature and well-established technology.

For more information, visit Arbertis Foundation.