Abstract
With the development of the Internet and traffic information technology, more and more traffic data resources are obtained, and the scale is increasing, transportation industry has entered the era of big data. How to dig out effective information from massive data to provide services for traffic congestion and security problems has been paid more and more attention. First, this paper analyses the source, content of traffic safety data, and the general process of data mining; Secondly, the application of big data in the field of traffic safety is discussed; Finally, an application framework of traffic safety big data based on data processing is put forward.
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References
Ding, H.J.: The Practical Inquiry of Big Data in The Public Security Traffic Management, in the 10th academic conference of social sciences circles in Tianjin with the topic of scientific development, collaborative innovation, dream building 2014: Tianjin, China. 6
Zhao, X.Y.: The Assessment Methods of Highway Traffic Safety Based on The Multi-source Heterogeneous Data, 2013, Harbin Institute of Technology (2013)
Jiang, S.Y., Li. X., Zheng, Q.: Data Mining Theory and Practice, pp. 3–5. Electronic Industry Press, Beijing (2011)
Valtehev, P., Missaoui, R., Godin, R.: Formal concept analysis for knowledge discovery and data mining: the new challenges. In: Eklund, P. (ed.) ICFCA, pp. 352–371. Springer, Heidelberg (2004)
Liu, M.Z.: Traffic Safety Analysis Based on Data Mining Technology, Shanghai Jiaotong University (2014)
Hu, C.Y., Yang, X.M.: The information service of comprehensive transport hub based on big data. Comprehensive Transportation, 2015 (7), 60–62 + 70
Zhang, H., etc.: The system architecture of intelligent transportation based on Big Data. J. Lanzhou Univ. Technol. 41(2), 115–112 (2015)
Shi, Q., Abdel-Aty, M.: Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways. Transp. Res. Part C 58, 380–394 (2015)
Ouyang, Q.M., Wu, C., Huang, L.: Methodologies, principles and prospects of applying big data in safety science research. Saf. Sci. 101, 60–71 (2018)
Battiato, S., Farinella, G.M., Gallo, G., Giudice, O.: On-board monitoring system for road traffic safety analysis. Comput. Industry 98, 208–217 (2018)
Fatholahzade, N., Akbarizadeh, G., Romoozi, M.: Implementation of Random Forest Algorithm in Order to Use Big Data to Improve Real-Time Traffic Monitoring and Safety. J. Adv. Comput. Eng. Technol. 4(2), 1–10 (2018)
Acknowledgement
This work was supported by National Key R&D Program of China (Grant No. 2016YFC0802209).
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Yu, X., Mu, R., Yang, R., Wang, L. (2019). The Applied Analysis of Big Data in Traffic Safety Management. In: Ni, S., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-030-04582-1_48
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DOI: https://doi.org/10.1007/978-3-030-04582-1_48
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