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Motion coordination and performance ...
~
Sharma, Vikrant.
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Motion coordination and performance analysis of multiple vehicle systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Motion coordination and performance analysis of multiple vehicle systems./
作者:
Sharma, Vikrant.
面頁冊數:
103 p.
附註:
Advisers: Emilio Frazzoli; Petros G. Voulgaris.
Contained By:
Dissertation Abstracts International68-06B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3270024
ISBN:
9780549096351
Motion coordination and performance analysis of multiple vehicle systems.
Sharma, Vikrant.
Motion coordination and performance analysis of multiple vehicle systems.
- 103 p.
Advisers: Emilio Frazzoli; Petros G. Voulgaris.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.
In this dissertation, issues related to multiple vehicle systems are studied. First, the issue of vehicular congestion is addressed and its effect on the performance of some systems studied. Motion coordination algorithms for some systems of interest are also developed.
ISBN: 9780549096351Subjects--Topical Terms:
1018395
Engineering, Aerospace.
Motion coordination and performance analysis of multiple vehicle systems.
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The issue of vehicular congestion is addressed by characterizing the effect of increasing the number of vehicles, in a bounded region, on the speed of the vehicles. A multiple vehicle routing problem is considered where vehicles are required to stay velocity-dependent distance away from each other to avoid physical collisions. Optimal solutions to the minimum time routing are characterized and are found to increase with the square root of the number of vehicles in the environment, for different distributions of the sources and destinations of the vehicles.
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The second issue addressed is that of the effect of vehicular congestion on the delay associated with data delivery in wireless networks where vehicles are used to transport data to increase the wireless capacity of the network. Tight bounds on the associated delay are derived.
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The next problem addressed is that of covering an arbitrary path-connected two dimensional region, using multiple unmanned aerial vehicles, in minimum time. A constant-factor optimal algorithm is presented for any given initial positions of the vehicles inside the environment.
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The last problem addressed is that of the deployment of an environment monitoring network of mobile sensors to improve the network lifetime and sensing quality. A distributed algorithm is presented that improves the system's performance starting from an initial deployment.
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