Integrated positioning algorithms for transport telematics applications

Washington Y. Ochieng; Mohammed A. Quddus; Robert B. Noland

Integrated positioning algorithms for transport telematics applications

Washington Y. Ochieng, Mohammed A. Quddus, Robert B. Noland

Research output: Contribution to conference › Paper › peer-review

Abstract

Two integrated positioning algorithms for transport telematics applications and services are discussed. The first is an extended Kalman Filter (EKF) algorithm for the integration of GPS and low cost DR sensors to provide continuous positioning in built-up areas. The second elaborates the first one by integrating the GPS/DR output with map data in a novel a map-matching process to both identify the physical location of a vehicle on the road network and improve positioning capability. The results demonstrate a 90% coverage in a typical built up environment over a 4-hour duration for a stand alone GPS employing a single frequency high sensitivity receiver/antenna assembly.

Original language	English (US)
Pages	692-705
Number of pages	14
State	Published - 2004
Externally published	Yes
Event	17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004 - Long Beach, CA, United States Duration: Sep 21 2004 → Sep 24 2004

Other

Other	17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004
Country/Territory	United States
City	Long Beach, CA
Period	9/21/04 → 9/24/04

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

@conference{80afa91111c44a368f930396896a2aa9,

title = "Integrated positioning algorithms for transport telematics applications",

abstract = "Two integrated positioning algorithms for transport telematics applications and services are discussed. The first is an extended Kalman Filter (EKF) algorithm for the integration of GPS and low cost DR sensors to provide continuous positioning in built-up areas. The second elaborates the first one by integrating the GPS/DR output with map data in a novel a map-matching process to both identify the physical location of a vehicle on the road network and improve positioning capability. The results demonstrate a 90% coverage in a typical built up environment over a 4-hour duration for a stand alone GPS employing a single frequency high sensitivity receiver/antenna assembly.",

author = "Ochieng, {Washington Y.} and Quddus, {Mohammed A.} and Noland, {Robert B.}",

year = "2004",

language = "English (US)",

pages = "692--705",

note = "17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004 ; Conference date: 21-09-2004 Through 24-09-2004",

}

Integrated positioning algorithms for transport telematics applications. / Ochieng, Washington Y.; Quddus, Mohammed A.; Noland, Robert B.
2004. 692-705 Paper presented at 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004, Long Beach, CA, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Integrated positioning algorithms for transport telematics applications

AU - Ochieng, Washington Y.

AU - Quddus, Mohammed A.

AU - Noland, Robert B.

PY - 2004

Y1 - 2004

N2 - Two integrated positioning algorithms for transport telematics applications and services are discussed. The first is an extended Kalman Filter (EKF) algorithm for the integration of GPS and low cost DR sensors to provide continuous positioning in built-up areas. The second elaborates the first one by integrating the GPS/DR output with map data in a novel a map-matching process to both identify the physical location of a vehicle on the road network and improve positioning capability. The results demonstrate a 90% coverage in a typical built up environment over a 4-hour duration for a stand alone GPS employing a single frequency high sensitivity receiver/antenna assembly.

AB - Two integrated positioning algorithms for transport telematics applications and services are discussed. The first is an extended Kalman Filter (EKF) algorithm for the integration of GPS and low cost DR sensors to provide continuous positioning in built-up areas. The second elaborates the first one by integrating the GPS/DR output with map data in a novel a map-matching process to both identify the physical location of a vehicle on the road network and improve positioning capability. The results demonstrate a 90% coverage in a typical built up environment over a 4-hour duration for a stand alone GPS employing a single frequency high sensitivity receiver/antenna assembly.

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M3 - Paper

AN - SCOPUS:22144488517

SP - 692

EP - 705

T2 - 17th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2004

Y2 - 21 September 2004 through 24 September 2004

ER -

Integrated positioning algorithms for transport telematics applications

Abstract

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All Science Journal Classification (ASJC) codes

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