Abstract
In the past decade, the fast development of information technology and computer technology lead to the data explosion in vehicle and transportation industry. Vehicle and transportation big data has 4 V features, including volume, velocity, variety, value. Effectively utilization of vehicle and transportation big data can assist the application and accelerate the vehicle and transportation industry. This chapter introduces big data, including the origin and features, data mining technology, software infrastructure, hardware infrastructure. Then, this chapter designs vehicle and transportation big data platform. Based on this big data platform, this chapter introduces our application in Internet of Vehicle (IoV), as well as digital twin IoV and intelligent transportation.
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Abbreviations
- HDFS:
-
Hadoop Distributed File System.
- HQL:
-
SQL-like Query Language.
- IoV:
-
Internet of Vehicles.
- NDFS:
-
Nutch Distributed File System.
- NFS:
-
Network File System.
- VRIT:
-
Virtual-Real Interactive Testing.
References
H. Zhang, L. Xu, X. Cheng, W. Chen, X. Zhao, Big data research on driving behavior model and auto insurance pricing factors based on UBI. in 3rd International Conference on Signal and Information Processing, Networking and Computers (ICSINC), (Chongqing, China, 2017), pp. 404–411
J. Gao, X. Cheng, L. Xu, H. Ye, An interference management algorithm using big data analytics in LTE cellular networks. in 2016 16th International Symposium on Communications and Information Technologies (ISCIT), (Qingdao, China, 2016), pp. 246–251
J. Gao, X. Cheng, L. Xu, L. Cao, K. Chao, A coverage self-optimization algorithm using big data analytics in WCDMA cellular networks. in 1st International Conference on Signal and Information Processing, Networking and Computers (ICSINC), (Beijing, China, 2015)
L. Xu, Y. Luan, Y. Cao, H. Liu, X. Cheng, R. Dong, H. Zhang, Framework and design discussion on city smart transportation management big data platform. Des. Tech. Posts Telecommun. 5, 7–12 (2020)
L. Xu, Y. Cao, H. Yang, C. Sun, T. Zhang, B. Wen, X. Cheng, C. Song, X. He, Research on telecom big data platform of LTE/5G mobile networks. in 18th IEEE International Conference on Ubiquitous Computing and Communications (IEEE IUCC), (Shenyang, China, 2019), pp. 756–761
W. ShangGuan, L.G. Chai, D.F. Chu, S.F. Zheng, F. Hui, Simulation and Evalution Method for Intelligent Cooperative Behavior of Mixed Traffic Group. (China Communications Press, 2022), pp. 164–180
W. Qiu, S. Wei, B. Cai, L. Chai, Heterogeneous data-based spatiotemporal trajectory synchronization for virtual–real interactive testing. Computer-Aided Civ. Infrastruct. Eng. (2022)
T. Luo, M. Zhang, Z. Pan, Z. Li, N. Cai, J. Miao, Y. Chen, M. Xu, Dream-experiment: a MR user interface with natural multi-channel interaction for virtual experiments. IEEE Trans. Visual Comput. Graphics 26(12), 3524–3534 (2020)
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Liu, Q. et al. (2023). Big Data for Internet of Vehicles and Smart Transportation. In: Zhu, Y., Cao, Y., Hua, W., Xu, L. (eds) Communication, Computation and Perception Technologies for Internet of Vehicles. Springer, Singapore. https://doi.org/10.1007/978-981-99-5439-1_11
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DOI: https://doi.org/10.1007/978-981-99-5439-1_11
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