Formal Models for Intelligent Speed Validation and Adaptation
Author(s) -
Maria Spichkova,
Milan Simić,
Heinz Schmidt,
Jian Cheng,
Xuening Dong,
Yuxi Gui,
Yin Liang,
Peng Ling,
Zixiong Yin
Publication year - 2016
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2016.08.208
Subject(s) - computer science , adaptation (eye) , implementation , android (operating system) , speedup , intelligent transportation system , formal methods , embedded system , simulation , real time computing , software engineering , operating system , civil engineering , physics , optics , engineering
This paper presents an approach for an intelligent speed validation and adaptation. The approach focuses on formal modelling of the corresponding smart vehicle units, to increase the road safety as well as to allow formal analysis of the smart vehicle behaviour. We suggest a number of models for speed check/limitation units, which reflect differences in the speed limits in several countries.We also present our results from the case studies, based on two implementations of the model as an iOS and an Android app for Intelligent Speed Adaptation
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