Abstract
Using appropriate models to evaluate the data quality can immediately find abnormal equipments and reduce the cost of labor maintenance. So we can fix them instantly in order to avoid negative effects caused by abnormal data and maintain the function of the intelligent traffic system. In this paper, we introduce a evaluation method of traffic data based on markov model and validate it using the real traffic flow data of Fuzhou. The result of the experiment proves the validity of the method.
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References
Sun Y, Chen D, Wu J (2004) Study on the speed-density model of Beijing urban expressway. J Beijing Jiaotong Univ 28(6):70–73
Zhang J, Wang FY, Wang K et al (2011) Data-driven intelligent transportation systems: a survey. IEEE Trans Intell Transp Syst 12(4):1624–1639
Herrera JC, Work DB, Herring R et al (2010) Evaluation of traffic data obtained via GPS-enabled mobile phones: the mobile century, field experiment. Transp Res Part C Emerg Technol 18(4):568–583
Shi L, Zhu J, Chen X (2011) Study on evaluation of fundamental traffic data quality. J Transp Inf Saf 29(5):57–61
Niu S, Jiang G (2012) Macroscopic evaluation and control method of traffic data quality. Highway 12:119–123
Zhang Y (2011) Research on the key technology of FCD quality assessment. Transp Stand 21:63–66
Li Y, Chen D. A learning-based comprehensive evaluation model for traffic data quality in intelligent transportation systems. Multimedia Tools Appl. https://doi.org/10.1007/s11042-015-2676-4
Acknowledgements
This work was partially funded by the Start Funding for Minjiang Chair Professor under grand 510146, and by the start funding of Fuzhou University under grand 510206. The Project of Fujian Province Key Laboratory of Network Computing and Intelligent Information Processing under Grant No. 2009J1007. Application Demo of Industry Network Control System in Rail Transportation, Information Technology Application “Doubling Plan” by Ministry of Industry, China.
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Liang, Z., Chen, D. (2018). An Evaluation Method for Traffic Data Quality Based on Markov Model. In: Li, X., Xu, X. (eds) Proceedings of the Fifth International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-10-7817-0_7
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DOI: https://doi.org/10.1007/978-981-10-7817-0_7
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