Collision prediction at intersection in sensor network environment

Oje Kwon; Sang Hyun Lee; Joon Seok Kim; Min Soo Kim; Ki Joune Li

Collision prediction at intersection in sensor network environment

Oje Kwon, Sang Hyun Lee, Joon Seok Kim, Min Soo Kim, Ki Joune Li

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

17 Scopus citations

Abstract

This paper presents several algorithms to predict collisions among vehicles at intersection, where the information about the movement of vehicles within interesting region is exchanged via sensor network and local broadcasting. We additionally proposes algorithms to predict collisions at access road, which is important as well. Experiments show that these algorithms give very accurate results with about 0.5 average false warnings at access road on highway. In comparison with access road, they give relatively more false warning reports at intersection.

Original language	English
Title of host publication	Proceedings of ITSC 2006
Subtitle of host publication	2006 IEEE Intelligent Transportation Systems Conference
Pages	982-987
Number of pages	6
State	Published - 2006
Externally published	Yes
Event	ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada Duration: Sep 17 2006 → Sep 20 2006

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference	ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
Country/Territory	Canada
City	Toronto, ON
Period	09/17/06 → 09/20/06

Cite this

@inproceedings{64aa96dc87de4c5e96baecc13044b6fa,

title = "Collision prediction at intersection in sensor network environment",

abstract = "This paper presents several algorithms to predict collisions among vehicles at intersection, where the information about the movement of vehicles within interesting region is exchanged via sensor network and local broadcasting. We additionally proposes algorithms to predict collisions at access road, which is important as well. Experiments show that these algorithms give very accurate results with about 0.5 average false warnings at access road on highway. In comparison with access road, they give relatively more false warning reports at intersection.",

author = "Oje Kwon and Lee, {Sang Hyun} and Kim, {Joon Seok} and Kim, {Min Soo} and Li, {Ki Joune}",

year = "2006",

language = "English",

isbn = "1424400945",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

pages = "982--987",

booktitle = "Proceedings of ITSC 2006",

note = "ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference ; Conference date: 17-09-2006 Through 20-09-2006",

}

Kwon, O, Lee, SH, Kim, JS, Kim, MS & Li, KJ 2006, Collision prediction at intersection in sensor network environment. in Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference., 1706872, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 982-987, ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference, Toronto, ON, Canada, 09/17/06.

Collision prediction at intersection in sensor network environment. / Kwon, Oje; Lee, Sang Hyun; Kim, Joon Seok et al.
Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. p. 982-987 1706872 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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

TY - GEN

T1 - Collision prediction at intersection in sensor network environment

AU - Kwon, Oje

AU - Lee, Sang Hyun

AU - Kim, Joon Seok

AU - Kim, Min Soo

AU - Li, Ki Joune

PY - 2006

Y1 - 2006

N2 - This paper presents several algorithms to predict collisions among vehicles at intersection, where the information about the movement of vehicles within interesting region is exchanged via sensor network and local broadcasting. We additionally proposes algorithms to predict collisions at access road, which is important as well. Experiments show that these algorithms give very accurate results with about 0.5 average false warnings at access road on highway. In comparison with access road, they give relatively more false warning reports at intersection.

AB - This paper presents several algorithms to predict collisions among vehicles at intersection, where the information about the movement of vehicles within interesting region is exchanged via sensor network and local broadcasting. We additionally proposes algorithms to predict collisions at access road, which is important as well. Experiments show that these algorithms give very accurate results with about 0.5 average false warnings at access road on highway. In comparison with access road, they give relatively more false warning reports at intersection.

UR - http://www.scopus.com/inward/record.url?scp=41849088136&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:41849088136

SN - 1424400945

SN - 9781424400942

T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

SP - 982

EP - 987

BT - Proceedings of ITSC 2006

T2 - ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference

Y2 - 17 September 2006 through 20 September 2006

ER -

Collision prediction at intersection in sensor network environment

Abstract

Publication series

Conference

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