@inproceedings{2da9bf360833422b9e5e01ec1ea4a1ae,
title = "On a clustering-based approach for traffic sub-area division",
abstract = "Traffic sub-area division is an important problem in traffic management and control. This paper proposes a clustering-based approach to this problem that takes into account both temporal and spatial information of vehicle trajectories. Considering different orders of magnitude in time and space, we employ a z-score scheme for uniformity and design an improved density peak clustering method based on a new density definition and similarity measure to extract hot regions. We design a distribution-based partitioning method that employs k-means algorithm to split hot regions into a set of traffic sub-areas. For performance evaluation, we develop a traffic sub-area division criterium based on the SDbw indicator and the classical Davies-Bouldin index in the literature. Experimental results illustrate that the proposed approach improves traffic sub-area division quality over existing methods.",
keywords = "Clustering, Density, Hot region, Traffic sub-area, Vehicle trajectory",
author = "Jiahui Zhu and Xinzheng Niu and Wu, {Chase Q.}",
note = "Funding Information: Acknowledgments. This research is sponsored by the Scientific Research Project of Sichuan Provincial Public Security Department under Grant No. 2015SCYYCX06, the Scientific Research Project of State Grid Sichuan Electric Power Company Information and Communication Company under Grant No. SGSCXT00XGJS1800219, the Science and Technology Planning Project of Sichuan Province under Grant No. 2017FZ0094, the Science and Technology Project of Chengdu under Grant No. 2017-RK00-00021-ZF, and the Joint Funds of the Ministry of Education of China.; 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019 ; Conference date: 09-07-2019 Through 11-07-2019",
year = "2019",
doi = "10.1007/978-3-030-22999-3_45",
language = "English (US)",
isbn = "9783030229986",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "516--529",
editor = "Franz Wotawa and Ingo Pill and Roxane Koitz-Hristov and Gerhard Friedrich and Moonis Ali",
booktitle = "Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings",
address = "Germany",
}