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A Network Tomography Approach for Tr...
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Zhang, Ruoxi.
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A Network Tomography Approach for Traffic Monitoring in Smart Cities.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Network Tomography Approach for Traffic Monitoring in Smart Cities./
作者:
Zhang, Ruoxi.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
47 p.
附註:
Source: Masters Abstracts International, Volume: 57-06.
Contained By:
Masters Abstracts International57-06(E).
標題:
Computer science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10792195
ISBN:
9780438114760
A Network Tomography Approach for Traffic Monitoring in Smart Cities.
Zhang, Ruoxi.
A Network Tomography Approach for Traffic Monitoring in Smart Cities.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 47 p.
Source: Masters Abstracts International, Volume: 57-06.
Thesis (M.S.)--Missouri University of Science and Technology, 2018.
Various urban planning and managing activities required by a Smart City are feasible because of traffic monitoring. As such, the thesis proposes a network tomography-based approach that can be applied to road networks to achieve a cost-efficient, flexible, and scalable monitor deployment. Due to the algebraic approach of network tomography, the selection of monitoring intersections can be solved through the use of matrices, with its rows representing paths between two intersections, and its columns representing links in the road network. Because the goal of the algorithm is to provide a cost-efficient, minimum error, and high coverage monitor set, this problem can be translated into an optimization problem over a matroid, which can be solved efficiently by a greedy algorithm. Also as supplementary, the approach is capable of handling noisy measurements and a measurement-to-path matching. The approach proves a low error and a 90% coverage with only 20% nodes selected as monitors in a downtown San Francisco, CA topology.
ISBN: 9780438114760Subjects--Topical Terms:
523869
Computer science.
A Network Tomography Approach for Traffic Monitoring in Smart Cities.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10792195
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