In recent years, a few European universities and municipalities have developed techniques to actively monitor crowd movements and pro-actively manage crowded spaces using real-time decision support systems. These ad hoc and specialist pilots have shown that the liveability of the inner cities can be improved substantially. Yet, the piloted state-of-the-art Crowd Management Decision-support systems (CM-DSS) are currently not ready for large-scale deployment.
CityFlows will make the necessary steps to prepare a generic CM-DSS for the international market. The most important outcomes of CityFlows are a boost of the quality of urban space and a license-based crowd management decision-support system (software). The CityFlows project establishes a set of city-scale demonstrator projects to illustrate the overall impact of the system and management strategies on the liveability for various types of crowded spaces and crowd management objectives.
To improve the liveability of crowded pedestrian spaces through the provision of decision-support for the management of pedestrian flows.
Expertise featuring state-of-the-art sensor techniques, crowd management, governmental regulation, European privacy regulation, machine learning, data analytics and valorisation of research output is imperative to successfully complete the CityFlows project. This expertise is evident within the CityFlows consortium, which consists of seven partners, namely Amsterdam Institute for Advanced Metropolitan Solutions (AMS) in combination of one of its founding members Delft University of Technology (DUT), the city of Amsterdam, ALTRAN, Universitat Politècnica de Catalunya – BarcelonaTech (UPC), the city of Barcelona, ENEA, the city of Milan. On this page each partner is introduced, its role is explained more thoroughly and the cooperation between partners is explained in more detail.
PROJECT OUTLINE
In recent years, a few European universities, research institutes and municipalities, among which Delft University of Technology and the municipalities of Amsterdam, Milan & Barcelona, have developed techniques to actively monitor crowd movements. CityFlows will make the necessary steps to prepare a generic CM-DSS for market launch in three steps.
CROWD MONITORING & PRIVACY
At the base of any crowd monitoring system are digital sensors, which capture information pertaining to the movement behaviour of individuals. Consequently, concerns with respect to infringements of the right-to-privacy of citizens are voiced frequently. The partners of the CityFlows project are committed to ensure that the systems that are developed as part of this project do not add to these concerns. Instead, we attempt to ingrain the safeguarding of the rights of citizens in the backbone of this system.
CROWD MONITORING SENSOR TYPES
The Crowd Monitoring Decision Support System analyzes data that is being gathered by a wide range of digital sensors. Upon each of these sensor types is further elaborated by summarizing all essential information regarding the functioning of the technique.
Partners
The CityFlows consortium, which consists of seven partners, namely Amsterdam Institute for Advanced Metropolitan Solutions (AMS) in combination of one of its founding members Delft University of Technology (DUT), the city of Amsterdam, ALTRAN, Universitat Politècnica de Catalunya – BarcelonaTech (UPC), the city of Barcelona, ENEA, the city of Milan. Each partner is introduced, its role is explained more thoroughly and the cooperation between partners is explained in more detail.