Subarea Partition Based on Correlation Analysis with Edge-Elimination Strategy Using Automatic License Plate Recognition Data

Subarea Partition Based on Correlation Analysis with Edge-Elimination Strategy Using Automatic License Plate Recognition Data
复制标题

基于自动车牌识别数据的边缘消除策略相关分析的分区

DOI:
10.1177/03611981221096439
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发表时间:
2022-06
期刊:
SAGE
影响因子:
--
通讯作者:
Jingxin Xia
Jingxin Xia
中科院分区:
其他
文献类型:
--
作者:
Siping Ke;Wei Liu;Zhenbo Lu;Wenming Rao;Chengchuan An;Jingxin Xia

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将城市网络划分为几个子区域(即,分区)是区域信号协调控制的重要环节。为了得到可靠的分区结果,必须分析交叉口之间的相关性。然而,由于交通数据中时空信息的不完整性,以往的研究仅仅探讨了任意交叉口之间的关系。在大规模网络中,考虑任意一对交叉点的相关性进行分区仍然是一个挑战。提出了一种基于自动车牌识别(ALPR)数据的区域划分方法,该方法结合了一种新的相关度模型和带边缘消除策略的纽曼快速算法。首先,车辆行程提取和相关度模型的开发用于测量任何对交叉口的关系。其次,提出了一种边缘消除策略,在不同比例的相关边缘的条件下产生候选分区划分解决方案。最后,通过不同分区解的相关指数(CI)的理想连通交集与总交集的比值来确定分区的最优解。该方法在中国昆山的一个真实城市网络中实现。结果表明,在保持前33%的相关边的情况下,可以获得最优划分解,并且在大部分交叉口连通的情况下,理想连通交叉口的CI比为72.35%,证明了所提出的划分方法在大规模城市网络中的合理性。
To partition an urban network into several subareas (i.e., subarea partition) is a vital step for regional coordinated signal control. The correlation between intersections must be analyzed for achieving reliable subarea partition results. However, because of the incompleteness of spatial–temporal information in traffic data, previous studies merely explored the relationship between any intersections. Subarea partition considering the correlation of any pair of intersections remains a challenge in a large-scale network. This paper proposes a subarea partition method that integrates a novel correlation-degree model and the Newman fast algorithm with an edge-elimination strategy using automatic license plate recognition (ALPR) data. First, vehicle trips are extracted and a correlation-degree model is developed for measuring the relationship of any pair of intersections. Second, an edge-elimination strategy is proposed to generate candidate subarea partition solutions under conditions with different proportions of correlated edges. Finally, an optimal solution of subarea partition is identified by the ratios of ideal connected intersections to total intersections of different partition solutions’ correlation index (CI). The proposed method was implemented in a real-world urban network in Kunshan, China. The results show that the optimal partition solution can be obtained when the top 33% of correlated edges are maintained, and the ratio of ideal connected intersections’ CI is 72.35% with most of the intersections being connected, which demonstrates the rationality of the proposed partition method in large-scale urban networks.
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