Visualizing loop detector data (Book, 1999) [WorldCat.org]
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Visualizing loop detector data

Author: Xiaoyan ZhangJohn A RiceCalifornia. Department of Transportation.University of California, Berkeley. Institute of Transportation Studies.University of California, Berkeley. Department of Statistics.All authors
Publisher: Berkeley, California : California PATH Program, Institute of Transportation Studies, University of California at Berkeley, [1999]
Series: California PATH working paper, UCB-ITS-PWP-99-21.
Edition/Format:   Print book : English
Summary:
Over the years, many TMCs have accumulated large loop detector datasets due to the loops' extensive presence in existing infrastructure. However, the information in these data sets often lies dormant partly because of the lack of effective means to summarize and display it. We present a simple visualization technique developed for loop detector data which addresses this issue. The method uses color-encoded images to  Read more...
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Details

Additional Physical Format: Online version:
Zhang, Xiaoyan.
Visualizing loop detector data.
Berkeley, California : California PATH Program, Institute of Transportation Studies, University of California at Berkeley, [1999]
(OCoLC)904848997
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Xiaoyan Zhang; John A Rice; California. Department of Transportation.; University of California, Berkeley. Institute of Transportation Studies.; University of California, Berkeley. Department of Statistics.; Partners for Advanced Transit and Highways (Calif.),
OCLC Number: 43101567
Notes: Performed in cooperation with the California Department of Transportation and the Federal Highway Administration.
"December 1999."
Description: 10 leaves : illustrations ; 28 cm.
Series Title: California PATH working paper, UCB-ITS-PWP-99-21.
Responsibility: Xiaoyan Zhang, John Rice (Department of Statistics, University of California at Berkeley).

Abstract:

Over the years, many TMCs have accumulated large loop detector datasets due to the loops' extensive presence in existing infrastructure. However, the information in these data sets often lies dormant partly because of the lack of effective means to summarize and display it. We present a simple visualization technique developed for loop detector data which addresses this issue. The method uses color-encoded images to visualize loop detector measurements as a function of space and time. We use examples based on a field dataset to illustrate some of its possible applications.

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