EXCASAFEZONE

Synthesizing expert based ‘on-the-fly’ safety risk heat maps

Journal Article (2019)
Author(s)

Leon Olde Scholtenhuis (University of Twente)

Farid Vahdatikhaki (University of Twente)

S Zlatanova (TU Delft - Urban Data Science)

J Beetz (Eindhoven University of Technology)

Pieter Pauwels (Eindhoven University of Technology)

Research Group
Urban Data Science
Copyright
© 2019 Léon Olde Scholtenhuis, Farid Vahdatikhaki, S. Zlatanova, Jakob Beetz, Pieter Pauwels
DOI related publication
https://doi.org/10.7480/spool.2019.2.4368
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Léon Olde Scholtenhuis, Farid Vahdatikhaki, S. Zlatanova, Jakob Beetz, Pieter Pauwels
Research Group
Urban Data Science
Issue number
2 #5
Volume number
6
Pages (from-to)
17-20
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Excavation work takes place almost continually in most cities around the Western hemisphere. Many cities are already full of infrastructures, buried networks, and street furniture, so excavation work is not without any thread to the operator and surrounding environment. Small construction sites, for example, are often constrained by operating infrastructure on surface level and underground. Although different agencies and network owners have information about the location of the objects that put excavation work at risk, this information is not centralized. Different organizations manage location information of buried cables, unexploded ordnance, and pollution, for example. This significantly complicates the early-stage planning and last minute risk assessment processes because professionals need to manually collect, assess, and integrate data about subsurface objects into a comprehensive risk assessment. To smoothen this process, ExcaSafeZone project, therefore, develops a system that collects location data, defines expert-based rules for safety risk assessment, and that synthesizes this into an open source prototype that visualized safety risks on a heat map.

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