bibtype	M - Monography Chapter
ARLID	0476575
utime	20240111140943.5
mtime	20170729235959.9
SCOPUS	85019347509
WOS	000428852600004
DOI	10.1007/978-3-319-53165-6_3
title (primary) (eng)	The Design of Vehicle Speed Profile for Semi-autonomous Driving
specification	book_pages 99 page_count 21 s. media_type P
serial	ARLID cav_un_epca*0476574 ISBN 978-3-319-53164-9 ISSN 2191-530X title Comprehensive Energy Management - Eco Routing & Velocity Profiles part_title Automotive Engineering : Simulation and Validation Methods page_num 39-59 publisher place Cham name Springer year 2017 editor name1 Watzenig name2 D. editor name1 Brandstätter name2 B.
keyword	optimal vehicle speed
keyword	efficiency of driving
keyword	semiautonomous driving
author (primary)	ARLID cav_un_auth*0277031 name1 Herda name2 Z. country CZ
author	ARLID cav_un_auth*0230217 name1 Nedoma name2 P. country CZ
author	ARLID cav_un_auth*0286338 share 33 name1 Plíhal name2 Jiří institution UTIA-B full_dept (cz) Zpracování signálů full_dept Department of Signal Processing department (cz) ZS department ZS full_dept Department of Signal Processing country CZ fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	source_type PDF url http://library.utia.cas.cz/separaty/2017/ZS/plihal-0476575.pdf
cas_special	abstract (eng) During this work an algorithm for Optimal speed profile was designed and verified. This algorithm is independent to the type of vehicle, is optimal for a selected priority between energy consumption and average speed, considers safety limits and is applicable for advanced driver assistance systems and also for autonomous driving. For our goals, it was also necessary to design a new shifting map to consider an electric motor’s behaviour because the Optimal speed design algorithm is not\napplicable on-line now and pre-designed shifting only cannot be used for real driving due to other unpredictable interruptions of driving like avoiding manoeuvers, breaking, etc. Benefits also depend on driving cycles and the biggest benefit of shifting is expected in the cities where the FEVs make sense.\n RIV JA FORD0 20000 FORD1 20200 FORD2 20201 reportyear 2018 mrcbC52 4 A hod 4ah 20231122142549.3 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0274024 mrcbC64 1 Department of Signal Processing UTIA-B 10200 COMPUTER SCIENCE, INFORMATION SYSTEMS confidential S mrcbC83 RIV/67985556:_____/17:00476575!RIV18-AV0-67985556 191975660 Doplnění UT WOS, Scopus a oprava DOI mrcbC86 3+4 Article Automation Control Systems|Engineering Industrial|Robotics mrcbC86 3+4 Article Automation Control Systems|Engineering Industrial|Robotics mrcbC86 3+4 Article Automation Control Systems|Engineering Industrial|Robotics mrcbT16-s 0.100 mrcbT16-4 Q4 mrcbT16-E Q4 arlyear 2017 mrcbTft \nSoubory v repozitáři: plihal-0476575.pdf mrcbU14 85019347509 SCOPUS mrcbU24 PUBMED mrcbU34 000428852600004 WOS mrcbU56 PDF mrcbU63 cav_un_epca*0476574 Comprehensive Energy Management - Eco Routing & Velocity Profiles 978-3-319-53164-9 2191-530X 2191-5318 39 59 Cham Springer 2017 SpringerBriefs in Applied Sciences and Technology Automotive Engineering : Simulation and Validation Methods mrcbU67 340 Watzenig D. mrcbU67 340 Brandstätter B.