RESCATAME represents a new system for the sustainable management of traffic through the use of models that predict pollution levels, which are supported by data collected by the network of air quality sensors, and that can help to execute a rapid action.
The project has included the implementation of a network of sensors at critical points (hot-spots) in the city of Salamanca (Spain), which provides data on pollution which, once they have been modeled, are a key element in management of urban air pollution and to provide sustainable mobility in Salamanca.
- Produce pollution predictions in real time.
- Calculate the effects on various hypotheses (scenarios) of traffic regulation.
- Contrast the impact of the selected pollution scenario on the “hot spots” with new data collected by the same measuring instruments, thus making a feedback on the regulation system and achieving an adjustment between the values resulting from the contamination and the control measures of traffic taken in real time.
- Integrate urban mobility and air quality needs into a single urban traffic management model by designing and implementing a wireless sensor network.
- To test in real urban environments, the collection, processing and modeling of data from 35 spots located in two streets (experimental scenarios) of Salamanca (Spain).
- Carry out tests in real urban environments to collect and process data from 35 spots located on test roads in the city of Salamanca (Spain) for a period of a whole year.
- Obtaining information on the evolution of: carbon monoxide, nitrogen oxides, ozone, particles, noise, humidity, temperature.
- During the trial period, more than two million data were collected and processed in the project data center, allowing local authorities to anticipate episodes of high pollution and act accordingly.
Video presenttion of the project:
Circular Economy projects:
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