Integration of GPS traces with road map

authored by: Lijuan Zhang, Frank Thiemann, Monika Sester
Abstract: GPS traces can track actual time and coordinates of regular vehicles going their own business, and it is easy to scale to the entire area with an accuracy of 6 to 10 meters in normal condition. As a result, extracting road map from GPS traces could be an alternative way to traditional way of road map generation. The basic idea of this paper is to describe a process which incrementally improves existing road data with incoming new information in terms of GPS traces. In this way we consider the GPS traces as measurements which represent a "digitization" of the true road. Although the accuracy of the traces is not too high, due to the high number of measurements an improvement of the quality of the road information can be achieved. Thus, this paper presents a method for integrating GPS traces and an existing out of copyright road map towards a more accurate, up-to-data and detailed road map. First we profile the existing road by a sequence of perpendicular lines and get the road's candidate sampling traces which intersect with the profile. Then we match the potential traces with the road and finally estimate the new road centerline from its corresponding traces. In addition to the geometry of roads we also mine attribute information from GPS traces, such as number of lanes and turning restrictions of the roads.
Organisation(s): Institute of Cartography and Geoinformatics
Type: Conference contribution
Pages: 17-22
No. of pages: 6
Publication date: 02.11.2010
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Computer Science Applications, Computer Networks and Communications, Control and Systems Engineering, Transportation
Electronic version(s): https://doi.org/10.1145/1899441.1899447 (Access: Unknown)

BibTeX

@inproceedings{3816fccdfe084b5280cbd6cdd1611bfe,
title = "Integration of GPS traces with road map",
abstract = "GPS traces can track actual time and coordinates of regular vehicles going their own business, and it is easy to scale to the entire area with an accuracy of 6 to 10 meters in normal condition. As a result, extracting road map from GPS traces could be an alternative way to traditional way of road map generation. The basic idea of this paper is to describe a process which incrementally improves existing road data with incoming new information in terms of GPS traces. In this way we consider the GPS traces as measurements which represent a {"}digitization{"} of the true road. Although the accuracy of the traces is not too high, due to the high number of measurements an improvement of the quality of the road information can be achieved. Thus, this paper presents a method for integrating GPS traces and an existing out of copyright road map towards a more accurate, up-to-data and detailed road map. First we profile the existing road by a sequence of perpendicular lines and get the road's candidate sampling traces which intersect with the profile. Then we match the potential traces with the road and finally estimate the new road centerline from its corresponding traces. In addition to the geometry of roads we also mine attribute information from GPS traces, such as number of lanes and turning restrictions of the roads.",
keywords = "GPS data, Incremental refinement, Integration, Road map",
author = "Lijuan Zhang and Frank Thiemann and Monika Sester",
year = "2010",
month = nov,
day = "2",
doi = "10.1145/1899441.1899447",
language = "English",
series = "3rd ACM SIGSPATIAL International Workshop on Computational Transportation Science 2010, IWCTS 2010 - In conjunction with ACM SIGSPATIAL GIS 2010",
publisher = "Association for Computing Machinery, Inc",
pages = "17--22",
booktitle = "3rd ACM SIGSPATIAL International Workshop on Computational Transportation Science 2010, IWCTS 2010 - In conjunction with ACM SIGSPATIAL GIS 2010",
note = "3rd ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2010 ; Conference date: 02-11-2010",
}