Abstract
At present, the research of road network change is hot in the study of the new road, the road one-way limit line and the construction caused by the reduction of road lanes, etc. Based on the change rule of road network intersection structure and steering rules and the improved map matching algorithm, this paper proposes a trajectory feature analysis method based on vehicle steering angle. At the same time, the mathematical model of geospatial data is constructed. Based on the existing network topology information, the massive traffic trajectory data are mined and analyzed, and the detection and recognition of the change of the intersection Lane rules are realized.
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Acknowledgments
This work is supported by National Natural Science Foundation of China (No. 61304199), Fujian Science and Technology Department (No. 2014H0008), Fujian Transportation Department (No. 2015Y0008), Fujian Education Department (No. JK2014033, JA14209,JA1532), and Fujian University of Technology (No. GYZ13125, 61304199, GY-Z160064). Many thanks to the anonymous reviewers, whose insightful comments made this a better paper.
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Zhang, M., Zou, F., Deng, Y., Jiang, X., Liao, L., Chen, Y. (2018). Research on Detection Algorithm of Roadway Intersection Rule Detection Based on Big Data. In: Pan, JS., Wu, TY., Zhao, Y., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2017. Smart Innovation, Systems and Technologies, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-319-70730-3_3
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DOI: https://doi.org/10.1007/978-3-319-70730-3_3
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