Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning

Lane-level road information is especially crucial now that high-precision navigation maps are in more demand. Road information may be obtained rapidly and affordably by mining floating vehicle data (FCD). A method is proposed to extract the number of lanes on urban roads by combining deep learning a...

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Bibliographic Details
Published in:	ISPRS international journal of geo-information Vol. 12; no. 11; p. 467
Main Authors:	Li, Xiaolong, Zhang, Yun, Xiang, Longgang, Wu, Tao
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2023
Subjects:	Accuracy Algorithms Classification Cleaning Clustering Computational linguistics DBSCAN clustering algorithm Deep learning extracts FCD Floating Fuzzy logic Language processing LeNet-5 model mining Natural language interfaces Navigation number of lanes prediction roads Roads & highways sampling Urban areas China
ISSN:	2220-9964, 2220-9964
Online Access:	Get full text
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