COMPLEX ROAD INTERSECTION MODELLING BASED ON LOW-FREQUENCY GPS TRACK DATA

• Main Authors: J. Huang, M. Deng, Y. Zhang, H. Liu
• Format: Article
• Language: English
• Published: Copernicus Publications 2017-09-01
• Series: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Online Access: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/23/2017/isprs-archives-XLII-2-W7-23-2017.pdf

It is widely accepted that digital map becomes an indispensable guide for human daily traveling. Traditional road network maps are produced in the time-consuming and labour-intensive ways, such as digitizing printed maps and extraction from remote sensing images. At present, a large number of GPS trajectory data collected by floating vehicles makes it a reality to extract high-detailed and up-to-date road network information. Road intersections are often accident-prone areas and very critical to route planning and the connectivity of road networks is mainly determined by the topological geometry of road intersections. <b>A few studies paid attention on detecting complex road intersections and mining the attached traffic information</b> (e.g., connectivity, topology and turning restriction) from massive GPS traces. To the authors’ knowledge, recent studies mainly used high frequency (1&thinsp;s sampling rate) trajectory data to detect the crossroads regions or extract rough intersection models. <b>It is still difficult to make use of low frequency (20&ndash;100&thinsp;s) and easily available trajectory data to modelling complex road intersections geometrically and semantically</b>. The paper thus attempts to construct precise models for complex road intersection by using low frequency GPS traces. We propose to firstly extract the complex road intersections by a LCSS-based (Longest Common Subsequence) trajectory clustering method, then delineate the geometry shapes of complex road intersections by a K-segment principle curve algorithm, and finally infer the traffic constraint rules inside the complex intersections.