A FLEXIBLE TRAJECTORY COMPRESSION ALGORITHM FOR MULTI-MODAL TRANSPORTATION

Abstract. Continuous progress in navigation, sensor-based, and GPS technologies have made smart devices essential to our daily lives many location-based applications. However, the trajectory datasets generated by these applications require management of large data volumes while preserving their main properties semantics. One most popular methods for compressing offline is Douglas–Peucker (DP) algorithm, but its principles should be applied a diverse range contexts when considering real-time data. This paper introduces Flexible Douglas-Peucker algorithm (FDP) that takes into account data’s diversity, underlying properties, The proposed framework Geolife benchmark dataset with series different thresholds reflects constraints performing compression process. results show achieves significant rate points semantic role concerning modes transportation.