Towards Requirements Related to Future CCAM Services for Road Usage Optimization

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Road damage on highways and freeways lead to numerous construction sites and maintenance activities every year, causing congestion, increased environmental pollution and costs. In addition, road damage exposes road users to an increased risk of accidents. The EU project ESRIUM aims to help reducing both the number of road works and the associated problems by using new digital services for intelligent road infrastructure use and predictive maintenance. The aim of this study is the presentation of four use cases and the elaboration of non-technological requirements of the offered digital services, which should lead to a deep understanding of the requirements of all stakeholders in the early phase of the project.

Original languageEnglish
Title of host publicationHuman Interaction, Emerging Technologies and Future Systems V
Subtitle of host publicationProceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021, August 27-29, 2021 and the 6th IHIET: Future Systems (IHIET-FS 2021)
EditorsTareq Ahram, Redha Taiar
PublisherSpringer
Pages1294-1301
Number of pages8
ISBN (Print)9783030855390
DOIs
Publication statusPublished - Sep 2021
Event5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021 - Virtual, Online
Duration: 27 Aug 202129 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume319
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021
CityVirtual, Online
Period27.08.202129.08.2021

Keywords

  • Autonomous driving
  • CCAM
  • EGNSS
  • Predictive maintenance
  • Technology acceptance
  • User acceptance

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