@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 = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 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",
}