Abstract
Abstract. Monitoring and digitalization are key to improve the resilience of the infrastructure network in the context of assessing its disaster management cycle. SAFEWAY is a project funded by the H2020 framework that aims to assess infrastructure resilience integrating multiscale information attending to all modes of disaster management cycle. This work presents the methodologies developed in the project for road and rail infrastructure monitoring and modelling, using remotely sensed data from Mobile Mapping Systems (MMS). First, 3D point clouds of both road and rail infrastructure are heuristically processed, obtaining geometric and semantic information from the most relevant assets, as well as the alignment, which is a key entity for generating information models. Such models are computed following the specifications of the Industry Foundation Classes (IFC) 4.1 schema, considering its current limitations and future potential for linear infrastructure modelling. Finally, the information is centralized in a core software platform where a user interface has been developed to aid visualization and interpretation of the resulting data.
Highlights
There is an increasing concern regarding the ability of the transportation network to function during adverse events, and quickly recover to an operational level of service
This concern is motivated by two facts: First, the maintenance budgets of the transportation network are not evolving with its necessities (European Commission, 2019), leading to a faster deterioration of an ageing network; and second, the frequency of extreme climate events is likely to increase due to climate change
This paper presents the most relevant results of the methodologies developed in SAFEWAY, a H2020 project that aims to improve the resilience of the European infrastructure
Summary
There is an increasing concern regarding the ability of the transportation network to function during adverse events, and quickly recover to an operational level of service. The concept of resilience is gaining attention, as a quantification of the capacity of a transportation network to perform despite the increasing risk of extreme events, considering the different phases of the disaster management cycle: Prevention, preparedness, response and recovery (Alexander, 2002). In this context, this work presents research methodologies that have been developed during the execution of SAFEWAY project (SAFEWAY, 2021). This includes information about the network given by the infrastructure managers (e.g. number of vehicles per time unit, accident hot-spots...), and a multiscale monitoring of the facilities, including both satellite (Interferometric SAR) and terrestrial (Mobile Laser Scanning) techniques
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
