Assessment of Adjustments Methods in Traverse Networks for Positioning

Author:

Hart L.1,Basil D.D.1,Oba T.1

Affiliation:

1. Rivers State University

Abstract

Various factors contribute to the degree of accuracy of the adjusted parameter (coordinate), one of which is the choice of adjustment model. Adjustment models seeks to eliminate (accounts) for the presence of random errors present in a given observations. The choice is critical for surveyors and other spatial analysts for optimal positioning and mapping projects since different adjustment models will yield different level of accuracy of spatial information generated irrespective of the quality of observations. For a traversing network, various adjustment models have been put forward which include; the Transit, the Bowditch, and the Crandels models. In spite of these models, internal consistency and reliability indicators of the network of positions are determined using the least squares adjustment model (observation equation and condition equation models). The aim of this work is to analyze the various traverse adjustment models. The approach deployed in this work was to compute the provisional coordinate of six traverse stations using the approximate methods of adjustment i.e., Bowditch and transit methods of traverse adjustment models. In addition, the least square adjustment models were deployed to minimize the propagation of residuals of the obtained values. The adjusted distances and directions were then compared with the observed distances and directions to obtain the residuals. The coordinate of positions was determined and the Root Mean Square Error (RMSE) associated with the traverse adjustment models are given as 0.128702264 and 0.008560954. Similarly, the RMSE of the adjusted values using the least square models are given as 0.007181432, and 0.005763969 for the observation and condition equation models respectively. The analysis of these results reveals that the traverse adjustment models are unique with capabilities embedded in the determination of the observables during data acquisition. However, for mapping and engineering survey of small locations, the transit method is more preferable to the Bowditch method.

Publisher

University of Benin - Faculty of Environmental Sciences

Subject

Management, Monitoring, Policy and Law,Geography, Planning and Development

Reference24 articles.

1. Ayeni, O. O. (1981). Statistical Adjustment and Analysis of Data: (with applications in geodetic surveying and photogrammetry, A Manual, in the Department of Surveying & Geoinformatics, Faculty of Engineering, University of Lagos, Nigeria.

2. Duggal, S. K. (2008) Surveying Volume I. 2nd Edition. Tata McGraw-Hill Publishing Company Limited. New Delhi. ISBN: 13-978-0-07-053470-4.

3. El-Rabbany, A. (2002). Introduction to GPS: The Global Positioning System. Artech House. Inc., 685 Canton Street, Norwood, MA 02062. ISBN: 1-58053-183-0.

4. Fajimirokun, F. A. (2012). Ed. Contemporary Issues in Surveying and Geoinformatics. Published by BPrint, 51, Remi-Fani Kayode Avenue, off Oduduwa Street, GRA Ikeja Lagos, Nigeria. ISBN:978-915-670-2.

5. Fubara, M. J., Fajimirokun, F. A. and Ezeigbo, (2014). Fundamental of Geodesy. Concept Publication Limited. 77, Shipeolu Street, Palmgrove, Lagos, Nigeria. ISBN: 978-987-525562-1-5.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3