MARC보기
LDR02053nmm uu200397 4500
001000000334380
00520240805180204
008181129s2017 |||||||||||||||||c||eng d
020 ▼a 9780438309685
035 ▼a (MiAaPQ)AAI10970727
035 ▼a (MiAaPQ)OhioLINK:osu1500479676353809
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 621.3
1001 ▼a Fredette, Danielle.
24510 ▼a Fuel-Saving Behavior for Multi-Vehicle Systems: Analysis, Modeling, and Control.
260 ▼a [S.l.] : ▼b The Ohio State University., ▼c 2017
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2017
300 ▼a 135 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Umit Ozguner.
5021 ▼a Thesis (Ph.D.)--The Ohio State University, 2017.
520 ▼a Dynamic eco-driving is an umbrella term describing speed control schemes that utilize connected and automated vehicle technology for the purpose of saving fuel. If dynamic eco-driving is to be widely prescribed as an integral part of widespread
520 ▼a Naturally occurring flocks and swarms have long commanded human attention, with much engineering inspiration being drawn from their beauty, order, and cooperation. Recent simulation and modeling of swarms has given rise to interesting mathematic
520 ▼a How should a group of cars cooperate in order to save the most fuel? To provide insight into the driving behavioral objectives of a cooperating vehicle group sharing the goal of overall fuel savings, a form of collaborative dynamic eco-driving i
590 ▼a School code: 0168.
650 4 ▼a Electrical engineering.
690 ▼a 0544
71020 ▼a The Ohio State University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0168
791 ▼a Ph.D.
792 ▼a 2017
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001335 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자