Authors:
Jorge Pereira
1
;
Susana Sargento
2
and
José Maria Fernandes
3
Affiliations:
1
Instituto de Telecomunicações, Portugal
;
2
Universidade de Aveiro and Instituto de Telecomunicações, Portugal
;
3
Universidade de Aveiro and Instituto de Engenharia Electrónica e Telemática de Aveiro, Portugal
Keyword(s):
Analytics for Intelligent Transportation, Vehicle Information Systems, Smart City, Data Warehouse, Decision Support Systems, Traffic Management Reporting Systems.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Energy and Economy
;
Energy-Aware Systems and Technologies
;
Geographic Information Systems (GIS)
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Porto city has an in-place infrastructure of fixed and moving sensors in more than 400 buses and roadside
units, with both GPS and mobility sensors in moving elements, and with environmental sensors in fixed units.
This infrastructure can provide valuable data that can extract information to better understand the city and,
eventually, support actions to improve the city mobility, urban planning, and environment.
Our system provides a full stack integration of the information into a city dashboard that displays and correlates
the data generated from buses and fixed sensors, allowing different visualizations over the traffic and
environment in the city, and decisions over the current status of the city. A good example relates bus speed
variation with possible anomalies on the road or traffic jams. Visualizing such information and getting alarms
on anomalies can be a valuable tool to a city manager when taking urban planning decisions to improve the
city mobility.