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Reliability degree estimation of traffic information based on floating car
According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree o...
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creator | Chang, A Jiang Guiyan Niu Shifeng |
description | According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree of traffic information based on floating car is designed considering sample sizes of floating car, and verified with simulated data based on part road network in Changchun, China. The results show that the reliability degree of traffic information based on floating car can be obtained reasonably and accurately using the method in this paper. |
doi_str_mv | 10.1109/ICACC.2010.5486742 |
format | conference_proceeding |
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The results show that the reliability degree of traffic information based on floating car can be obtained reasonably and accurately using the method in this paper.</description><identifier>ISBN: 1424458455</identifier><identifier>ISBN: 9781424458455</identifier><identifier>EISBN: 9781424458486</identifier><identifier>EISBN: 1424458471</identifier><identifier>EISBN: 9781424458479</identifier><identifier>EISBN: 142445848X</identifier><identifier>DOI: 10.1109/ICACC.2010.5486742</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automotive engineering ; Educational institutions ; Electronic mail ; floating car ; Laboratories ; reliability degree ; Road transportation ; Road vehicles ; sample size ; State estimation ; Telecommunication traffic ; Traffic control ; traffic information collection ; Vehicle dynamics</subject><ispartof>2010 2nd International Conference on Advanced Computer Control, 2010, Vol.3, p.79-82</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5486742$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5486742$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chang, A</creatorcontrib><creatorcontrib>Jiang Guiyan</creatorcontrib><creatorcontrib>Niu Shifeng</creatorcontrib><title>Reliability degree estimation of traffic information based on floating car</title><title>2010 2nd International Conference on Advanced Computer Control</title><addtitle>ICACC</addtitle><description>According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree of traffic information based on floating car is designed considering sample sizes of floating car, and verified with simulated data based on part road network in Changchun, China. The results show that the reliability degree of traffic information based on floating car can be obtained reasonably and accurately using the method in this paper.</description><subject>Automotive engineering</subject><subject>Educational institutions</subject><subject>Electronic mail</subject><subject>floating car</subject><subject>Laboratories</subject><subject>reliability degree</subject><subject>Road transportation</subject><subject>Road vehicles</subject><subject>sample size</subject><subject>State estimation</subject><subject>Telecommunication traffic</subject><subject>Traffic control</subject><subject>traffic information collection</subject><subject>Vehicle dynamics</subject><isbn>1424458455</isbn><isbn>9781424458455</isbn><isbn>9781424458486</isbn><isbn>1424458471</isbn><isbn>9781424458479</isbn><isbn>142445848X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j81KxDAUhSMiqGNfQDd5gY75u0m6lKKOMiCIrof83AyR2krazby9AevZ3HO-xeUcQm4523LOuvuX_qHvt4LVDMpqo8QZaTpjuRJKga3onFz_B4BL0szzF6tSILTlV-T1HYfsfB7ycqIRjwWR4rzkb7fkaaRToktxKeVA85imsmLvZoy0mjRMlYxHGly5IRfJDTM2692Qz6fHj37X7t-ea899m7mBpXUhMoja8Y4HAB1lNGhlBKtt8ApFZxx4DywqA8lIqUTghkUWgnBWQpIbcvf3NyPi4afUruV0WOfLX7zRTos</recordid><startdate>201003</startdate><enddate>201003</enddate><creator>Chang, A</creator><creator>Jiang Guiyan</creator><creator>Niu Shifeng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201003</creationdate><title>Reliability degree estimation of traffic information based on floating car</title><author>Chang, A ; Jiang Guiyan ; Niu Shifeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-acd05d6a191c556d3d7e83d5868cb4e297a5bb50d475f73342c170d0cc2a835f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Automotive engineering</topic><topic>Educational institutions</topic><topic>Electronic mail</topic><topic>floating car</topic><topic>Laboratories</topic><topic>reliability degree</topic><topic>Road transportation</topic><topic>Road vehicles</topic><topic>sample size</topic><topic>State estimation</topic><topic>Telecommunication traffic</topic><topic>Traffic control</topic><topic>traffic information collection</topic><topic>Vehicle dynamics</topic><toplevel>online_resources</toplevel><creatorcontrib>Chang, A</creatorcontrib><creatorcontrib>Jiang Guiyan</creatorcontrib><creatorcontrib>Niu Shifeng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chang, A</au><au>Jiang Guiyan</au><au>Niu Shifeng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Reliability degree estimation of traffic information based on floating car</atitle><btitle>2010 2nd International Conference on Advanced Computer Control</btitle><stitle>ICACC</stitle><date>2010-03</date><risdate>2010</risdate><volume>3</volume><spage>79</spage><epage>82</epage><pages>79-82</pages><isbn>1424458455</isbn><isbn>9781424458455</isbn><eisbn>9781424458486</eisbn><eisbn>1424458471</eisbn><eisbn>9781424458479</eisbn><eisbn>142445848X</eisbn><abstract>According to the fact that the quality evaluation process of traffic information estimated by floating cars is neglected or on which models used are unreasonable in existing researches, which lead to blind application of traffic information for users, a method for estimating the reliability degree of traffic information based on floating car is designed considering sample sizes of floating car, and verified with simulated data based on part road network in Changchun, China. The results show that the reliability degree of traffic information based on floating car can be obtained reasonably and accurately using the method in this paper.</abstract><pub>IEEE</pub><doi>10.1109/ICACC.2010.5486742</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Automotive engineering Educational institutions Electronic mail floating car Laboratories reliability degree Road transportation Road vehicles sample size State estimation Telecommunication traffic Traffic control traffic information collection Vehicle dynamics |
title | Reliability degree estimation of traffic information based on floating car |
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