SIADE manages records generated by ADC Systems, integrating geospatial data (population census, geolocation of clients, pollution, gas consumption, etc.). Using millions of records (spatial Big Data), SIADE creates Origin-Destination matrices, joining the information with GIS data and inferring mobility patterns of transportation network users. SIADE provides mobility patterns (discriminated by user type), pollution and social analysis, evaluating the global efficiency of the transportation network.
SIADE provides multiple levels of information to optimize transportation networks.
Equity of public transportation planning, improves stop distribution and real use of the network
Evaluation of the most requested destinations and how they change over time (weekends, peak hours, special events, etc.)
Social service of routes
Evaluation of the route service considering different social variables (in the image, darker areas show where elder people live.
Evaluation of boarding/alighting users of any route per bus stop, offering a quick view of the utility of the service for the population.