The project is focused in the development of systems for sensoring, based in the magnetic characteristics of the vehicles, improving currents methods to obtain traffic parameters and characterizing the vehicles when driving in the road.
As result of the project it is expected to obtain a solution capable of replace and/or complement current traffic systems solutions, allowing:
- Counting vehicles, traffic flow, traffic density, punctual speed, detection of driving direction
- Vehicle re-identification, allowing to obtain travelling times, mean speeds in stretches, O/D Matrixes
- Axel-counting in free-flow conditions
The project extends the tasks performed in the project OASIS around the magnetic footprint of the vehicles and the possibility of re-identifying them univocally.
Collaborating Companies or Organisations
Indra is the project coordinator and also the leader of the Spanish consortium. Besides, Indra will provide its experience and knowledge in the field of ITS systems in order to achieve the objectives established in the project.
Indra is responsible for the development of the algorithms and the methodology to analyze the magnetic footprints of the vehicles and to extract from them traffic information, exploiting and integrating it with other ITS systems. Indra also participates actively, together with the other Spanish partner OHL, in the definition of the information that is required to be gathered from the highway, and in the validation of the system and the comparison with other already existing systems.
In addition, Indra will support the Mexican partners in the development of the ad-hoc modules for the device, so it can wireless communicate and to be fed from a renewable energy sources.
Universities and Technological Centres
Magnetic sensoring technologies: Anisotropic Magnetoresistive sensors (AMR), with high frequency of scanning.
Wireless sensor networks technologies (WSN):
- Wireless communications based in IEEE 802.15.4 standard and Zigbee specifications (ZigBee Alliance)
- Energy self sufficient sensors (Energy harvesting) based in renewable energies: vibration, heat, light and radio frequency.
- Signal processing: filtering techniques, classifying techniques and pattern recognition (k-Nearest Neighbor, Support Vector Machine…)
SMARTSIT, under reference nº IDI-20130804 IBE-20120070 & C0011-CONACYT-CDTI-192100 is partially financed by the CDTI (Spanish Centre for Industrial Technological Development) and the CONACYT (National Council for Science and Technology Of Mexico)under the call IBEROEKA Mexico-Spain 2012.