A Google-map-based arterial traffic information system

Yao Jan Wu; Yinhai Wang; Dalin Qian

doi:10.1109/ITSC.2007.4357678

A Google-map-based arterial traffic information system

Yao Jan Wu, Yinhai Wang, Dalin Qian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

39 Scopus citations

Abstract

Web-based mapping technologies have been utilized for traffic information systems. However, most such systems are for freeways and very few of them focus on arterials or urban streets. This paper presents a real-time Google-map-based Arterial Traffic Information (GATI) system for urban streets in the City of Bellevue, Washington State. Open source web tools and emerging web technologies, such as Ajax, are used in implementing the system to ensure its performance and minimize its cost. Convenient administrative functions are enabled through advanced database design and the Model-View-Controller (MVC) application. This GATI system, though presented and demonstrated by using Bellevue's data, is a general technology that can be applied to any arterial network.

Original language	English (US)
Title of host publication	10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages	968-973
Number of pages	6
DOIs	https://doi.org/10.1109/ITSC.2007.4357678
State	Published - Dec 1 2007
Externally published	Yes
Event	10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States Duration: Sep 30 2007 → Oct 3 2007

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other	10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Country/Territory	United States
City	Seattle, WA
Period	9/30/07 → 10/3/07

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/ITSC.2007.4357678

Cite this

A Google-map-based arterial traffic information system. / Wu, Yao Jan; Wang, Yinhai; Qian, Dalin.

10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007. 2007. p. 968-973 4357678 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wu, YJ, Wang, Y & Qian, D 2007, A Google-map-based arterial traffic information system. in 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007., 4357678, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 968-973, 10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007, Seattle, WA, United States, 9/30/07. https://doi.org/10.1109/ITSC.2007.4357678

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abstract = "Web-based mapping technologies have been utilized for traffic information systems. However, most such systems are for freeways and very few of them focus on arterials or urban streets. This paper presents a real-time Google-map-based Arterial Traffic Information (GATI) system for urban streets in the City of Bellevue, Washington State. Open source web tools and emerging web technologies, such as Ajax, are used in implementing the system to ensure its performance and minimize its cost. Convenient administrative functions are enabled through advanced database design and the Model-View-Controller (MVC) application. This GATI system, though presented and demonstrated by using Bellevue's data, is a general technology that can be applied to any arterial network.",

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AB - Web-based mapping technologies have been utilized for traffic information systems. However, most such systems are for freeways and very few of them focus on arterials or urban streets. This paper presents a real-time Google-map-based Arterial Traffic Information (GATI) system for urban streets in the City of Bellevue, Washington State. Open source web tools and emerging web technologies, such as Ajax, are used in implementing the system to ensure its performance and minimize its cost. Convenient administrative functions are enabled through advanced database design and the Model-View-Controller (MVC) application. This GATI system, though presented and demonstrated by using Bellevue's data, is a general technology that can be applied to any arterial network.

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A Google-map-based arterial traffic information system

Abstract

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Other

ASJC Scopus subject areas

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