Mr. Qingwei Hu Profile

Qingwei Hu

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Proceedings Article | 20 February 2024 Paper

Mining of taxi passenger-seeking regions based on grid-optimised DBSCAN algorithm

Dan Zhou, Benxiao Lou, Guobin Gu, Qingquan Yuan, Chujie Zhong, Jingtong Zou, Qingwei Hu

Proceedings Volume 13064, 130642U (2024) https://doi.org/10.1117/12.3015874

KEYWORDS: Mining, Mathematical optimization, Roads, Transportation, Engineering

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In order to quickly mine hotspot areas from taxi trajectory data, so as to help taxi drivers improve the efficiency of passenger search and economic income, this paper proposes a grid-optimised DBSCAN algorithm. Firstly, the study area is divided into a number of grids of the same size, then the trajectory data is mapped to the grid by a function, and finally clusters are generated based on the width-first search, which reduces the search range of the boundary points of each point, and forms clustered hotspots based on the clustering of high-density grid cells. In this paper, we use taxi trajectory data in Chengdu city to conduct experiments and compare with three clustering algorithms, DBSCAN, GSCAN and K-DBSCAN, and the results show that the algorithm in this paper has a smaller time complexity, and the algorithm's DBI index is reduced by an average of 35.25%, and the average running time is reduced by 19.14%.

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