Platform for Resilient Multi-modal Mobility via Multi-layer Networks & Real-time Big-Data Processing – PROMENADE
The growing concentration of people in urban areas translates into increasing travel demand, degrading mobility experience and frequent unavailability or inaccessibility of the transport infrastructures, especially in presence of inclement or extreme weather events.
Contextually, the urban environment is pervasively digitalizing and generates massive amounts of data that can be used to improve mobility and enable novel approaches for measuring and improving transport resilience.
PROMENADE targets the development of a novel, systemic, real-time, data-driven platform towards sustainable and resilient multi-modal transportation.
Firstly, PROMENADE proposes a novel, holistic modeling framework based on multi-layer networks to effectively represent multi-modal, large-scale urban transport systems. This model will allow for grasping the complex interplays that exist among different transport modes and are usually neglected in transportation studies.
Secondly, PROMENADE aims at jointly mining multi-source, real-time, large-scale data to enrich the model with accurate and dynamic information on users’ mobility patterns and traffic performance. Big data fusion techniques will be exploited to fully leverage the power of such heterogeneous data and allow for more informed monitoring and decision making.
Thirdly, PROMENADE aims at identifying novel resilience metrics and strategies for multi-modal urban transport networks by developing stress tests aimed at analyzing the impact of extreme weather events on multi-modal networks. Moreover, efficient implementations of the proposed resilience indicators will be studied to allow for continuous, real-time monitoring of large-scale network resilience.
PROMENADE will deliver a software platform integrating all the models, analytics, algorithms and tools developed along the project. The platform will make the project achievements publicly accessible and re-usable to researchers, transport stakeholders and socio-economic actors.
PROMENADE will therefore enable a breakthrough in the modeling of complex transport networks and in the capability to monitor and improve their resilience for sustainable operation.
Project coordination
Angelo Furno (Laboratoire d'Ingénierie Circulation Transport)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
LICIT Laboratoire d'Ingénierie Circulation Transport
Help of the ANR 347,544 euros
Beginning and duration of the scientific project:
January 2019
- 36 Months