DocumentCode :
1571504
Title :
Research on relative error rate analysis method between the Earth surface safety monitoring devices of vehicle operation estate
Author :
Cai, Guoqiang ; Ye, Yangdong ; Jia, Limin
Author_Institution :
Inst. of Electron. Comput. Technol., China Acad. of Railway Sci., Beijing, China
Volume :
4
fYear :
2004
Firstpage :
3067
Abstract :
Establishing an accurate and reliable network for the Earth surface safety monitoring devices of vehicle operation estate is the key factor to the railway intelligent traffic system in order to avoid incidents caused by super load of wagons. It is critical to seek an efficient analysis method about relative error rate analysis between devices so that designing technique of device can be checked. This paper presents a novel relative error rate analysis method DVM (distribution-oriented, verify and match). DVM includes two parts: distribution-model-oriented sample, verify and match of multi-system. Distribution-model-oriented sample can overcome defect in current sample methods. The maximum entropy theory is applied and distribution model of relative error rate is concluded. A verifiable match algorithm of multi-system realizes verify and match among the detective information, automatic identify system, and QB system. Application shows that distribution model of relative error rate can be obtained accurately according to DVM method.
Keywords :
error analysis; locomotives; rail traffic; railway safety; traffic engineering computing; Earth surface safety monitoring devices; automatic identify system; detective information; distribution oriented-verify-and-match method; distribution-model-oriented sample; railway intelligent traffic system; railway traffic safety; relative error rate analysis method; vehicle operation estate; Earth; Error analysis; Intelligent networks; Intelligent systems; Intelligent vehicles; Monitoring; Rail transportation; Railway safety; Safety devices; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1343083
Filename :
1343083
Link To Document :
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