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Experimental Analysis of Various Types of Road Intersections for Interchange Detection

机译:各种路口立交检测的试验分析

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摘要

Road interchanges are a major pattern type in road networks. Recognition of road interchanges benefits automated road network generalization, car navigation and traffic flow analysis. This study first investigated several existing approaches to automatically detecting interchanges in a road network, and determined that the recognition of characteristic road intersections is essential for the effective detection of interchanges. Several experiments were carried out to investigate nine types of road intersections for interchange detection and to analyze characteristic ones. Furthermore, an approach to the detection of both intersections and segments of interchanges was proposed and validated. The road networks across different scales were tested and results show that: (1) the T-shaped and Cross-shaped junctions are very common in road networks, but they are not the most characteristic ones for interchange detection; (2) the y-shaped, Y-shaped types, X-shaped, Fork-shaped and Multi-leg may be the characteristic types for interchange detection; (3) the proposed approach to detecting interchanges is effective, and most of the intersections and segments of interchanges can be detected. In addition, taking multiple characteristic types into consideration for interchange detection is suggested.
机译:道路立交是道路网络中的主要模式类型。识别道路互换有利于自动化道路网络综合,汽车导航和交通流分析。这项研究首先研究了几种自动检测道路网络中交汇点的现有方法,并确定特征性道路交叉口的识别对于有效检测交汇点至关重要。进行了一些实验,以研究9种类型的道路交叉口,以进行交叉路口检测并分析其特征。此外,提出并验证了一种检测交叉路口和路段的方法。对不同规模的道路网络进行了测试,结果表明:(1)T形和十字形路口在道路网络中非常普遍,但它们并不是互换性检测中最具特征的路口; (2)Y形,Y形,X形,叉形和多腿形可能是互换检测的特征类型; (3)提出的检测交叉点的方法是有效的,并且可以检测到大多数交叉点和交叉点。此外,建议在交换检测中考虑多种特征类型。

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