InRoad 4.0 – Intelligent Roads for a 0 Vision (0 Deceased, 0 Injured, 0 Congestion and 0 Emissions
The objective of the InRoad 4.0 project is to investigate different technologies, techniques, tools, methodologies and knowledge aimed at optimizing the integral cycle of road management and its interaction with users, providing an essential technological leap towards Vision 0.0 the adoption of technological solutions to provide useful information to users (for safer driving), to road concession companies (for better conservation of roads and greater efficiency of resources), to public bodies (for proper decision making in road planning) and to emergency services (for rapid and safe intervention).The InRoad 4.0 project focuses on research into technologies that influence road management (both urban and interurban), within the framework of new digital technologies, and proposes a new perspective towards road management.
- Research new, low-cost sensors for image/video acquisition and wildlife detection in the visible/infrared spectrum.
- Develop new software solutions for processing visible and infrared images.
- Identify road markers for maintenance and methods and systems for automated evaluation
- Research into sensors that implement automatic and remote data capture functionalities
- Develop hardware architecture that enables real-time data capture and integrates this data into an IoT architecture Incorporation of 3D mobile mapping units as data for a descriptive road model
- Develop algorithms for storage and visualization of point clouds 3DCreate tools based on simulation technologies that allow the training of technicians in the handling of drones.
- Use virtual reality technologies to improve the user’s immersion in the simulations. Identify the climatic pollution factors that lead to critical high-pollution situations.
- To develop decision making models based on CBR case reasoning systems, advanced algorithms for characterization, inventory and predictive maintenance of roads based on road traceability, road condition and inventory, and algorithms that allow a semantic segmentation and classification of the functional elements of the road environment.
- To develop a system for detecting possible potholes and defects in the road surface.
- To integrate digitalised information from the project’s sensorisation and databases in BIM collaborative environments.
- To develop a predictive model for reducing the capacity of retro-reflection levels in vertical and horizontal signposting.
- To investigate 3D models as a support for predictive maintenance with automatic defect detection algorithms in roads.
- To investigate the influence of air pollution on traffic management.
- Determine traffic restrictions and traffic alternatives based on pollution levels.
- Design a tool for analysing the internal geometric consistency of a route.
- Analyse the real visibility available on roads using an innovative Dynamic Visibility Prism.
- Instituto Tecnológico de Castilla y León (ITCL)
- Universidad de Salamanca
Private financing by subcontracting of TECOPYSA, VALORIZA in the Strategic Program of National Business Research Consortiums (CIEN) of 2018 of the CDTI