This project proposes to deliver new knowledge and a proof of concept for massive urban sensing of people, vehicles, and environment, supporting data-driven city planning and decision making.
The challenges to make this vision come true are significant, but we will pursue them in this project, through the following 3 areas:
1) Communication infrastructure for reliable and low-cost information gathering: extend the existing infrastructure with protocols and algorithms for information gathering and dissemination through delay tolerant approaches, with network coding to improve resilience and robustness, and security to assure the integrity of information and secure transport. The use of mobile collectors such as drones will also be considered for the mobile data gathering in crowded events in parks and stadiums.
2) Modelling Data Flows, Behavior and Prediction: mechanisms and algorithms for data analysis and data correlation from different sources and timeframe to define patterns of mobility and trajectories and understand the spatial patterns, events and anomalies; data mining to correlate all the information and extrapolate the impact and expected behavior when information changes.
3) Decision support systems: mobile applications for visualization, online event monitoring, reporting decision and its impact; urban planning required as a part of the decision system; measurements of performance and cumulative effect of the decisions.
The resulting knowledge and technologies of the project are expected to have a strong impact on society, by improving the city environment and adapting the city planning and transportation according to its demands.
|Funding: FCT/ CMU|
|Start Date: 01-03-2016|
|End Date: 01-03-2021|
|Team: Susana Isabel Barreto Miranda Sargento, André Ventura da Cruz Marnoto Zúquete, Ana Cristina Costa Aguiar, Carlos Roberto Senna, Nuno Miguel Abreu Luís, Andre Braga Reis|
|Groups: Network Architectures and Protocols – Av, Networked Systems – Po|
|Partners: Associação Porto Digital, Câmara Municipal do Porto, CMU - Networking, CMU - Robotics, IEETA, Veniam|
|Local Coordinator: Susana Isabel Barreto Miranda Sargento|