Adaptive service selection for enabling the mobility of autonomous vehicles

Elif Eryilmaz, Manzoor Ahmed Khan, Frank Trollmann, Sahin Albayrak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Recent advances in the Internet of Things (IoT) provides rich opportunities to future mobility services for the development of more flexible solutions. Instead of using a fixed set of data sources or services, applications can benefit from those flexible mechanisms by adapting to change in the sensing environment such as sensor disappearance/degradation or service unavailability. In this paper, we contribute with an approach that enables dynamic selection of the services for mobility to meet requirements of autonomous driving use-cases. Our approach is focused on different mobility services using available data sources and data processing methods with their related quality parameters. Those services are inspired by the standards and the dynamics of real-test road. We present a prototypical implementation of the mechanism for optimal service selection in an autonomous driving test environment and evaluated our testing results with respect to correctness and performance.

Original languageEnglish
Title of host publicationAmbient Intelligence - 15th European Conference, AmI 2019, Proceedings
EditorsIoannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati
Number of pages16
ISBN (Print)9783030342548
Publication statusPublished - 2019
Externally publishedYes
Event15th European Conference on Ambient Intelligence, AmI 2019 - Rome, Italy
Duration: Nov 13 2019Nov 15 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11912 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th European Conference on Ambient Intelligence, AmI 2019


  • Adaptive service selection
  • Autonomous driving
  • IoT
  • Mobility
  • Opportunistic sensing
  • Quality-optimal selection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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