Work

Batch Simplification Algorithm for Trajectories over Road Networks

Year: 2023

Type: article

Abstract: The volume of vehicular traffic in large cities has increased in recent years, the devices that collect vehicular GPS data such as cameras, GPS receivers and others generate millions of records at every instant of time generating problems in processing and storage of these data which becomes important for researchers. Intelligent Transportation Systems perform vehicle monitoring and control by collecting GPS trajectories, this large volume of information is necessary to have an optimal storage process. Its processing by means of compression techniques and simplification algorithms allow to reduce the necessary storage space. This paper presents a GPS trajectory simplification algorithm that considers noise reduction, point simplification and analysis of road network information. The results obtained on two data sets from the cities of California and Beijing are satisfactory, achieving a higher compression ratio without affecting data quality

Source: ISPRS International Journal of Geo-Information

DOI: 10.3390/ijgi12100399

Authors: Gary Reyes, Vivian Estrada, Roberto Tolozano-Benites, Victor Maquilón

Institutions: University of Guayaquil, Universidad Bolivariana del Ecuador, University of Information Science

Language: English

Topic: Data Management and Algorithms

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,891