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GPS-Simulated Trajectory Detection

, 2017
Due to the prevalence of GPS-enabled devices and wireless communication technology, spatial trajectories have become the basis of many location based applications, e.g., Didi. However, trajectory data suffers low quality problems causing by sensor errors and artificial forgeries.
Han Su 0001, Wei Chen 0070, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang, Defu Lian   +6 more
openaire   +3 more sources

Using big GPS trajectory data analytics for vehicle miles traveled estimation

Transportation Research Part C: Emerging Technologies, 2019
As location-sensing devices and apps become more prevalent, the scale and availability of big GPS trajectory data are also rapidly expanding. Big GPS trajectory data analytics offers new opportunities for gaining insights into vehicle movement dynamics ...
Junchuan Fan, Cheng Fu
exaly   +2 more sources

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Accelerated Map Matching for GPS Trajectories

IEEE Transactions on Intelligent Transportation Systems, 2022
The processing and analysis of large-scale journey trajectory data is becoming increasingly important as vehicles become ever more prevalent and interconnected. Mapping these trajectories onto a road network is a complex task, largely due to the inevitable measurement error generated by GPS sensors.
Marko Dogramadzi, Aftab Khan 0001
openaire   +1 more source

Noise Patterns in GPS Trajectories

2020 21st IEEE International Conference on Mobile Data Management (MDM), 2020
As any other type of data, GPS traces contain noise, anomaly, and sometimes unexpected values. Normally, researchers and data engineers analysts would start dealing with GPS data by removing those noises and outliers. However, in this work, we take the opposite direction.
Ali, Mohamed, Hendawi, Abdeltawab, Shen, James, Sabbineni, Sree Sindhu, Song, Yaxiao, Cao, Peiwei, Zhang, Zhihong, Krumm, John   +7 more
openaire   +2 more sources

Automatically Tracking Road Centerlines from Low-Frequency GPS Trajectory Data

ISPRS International Journal of Geo-Information, 2021
High-quality digital road maps are essential prerequisites of location-based services and smart city applications. The massive and accessible GPS trajectory data generated by mobile GPS devices provide a new means through which to generate maps. However,
Wenjuan Ren, Banqiao Chen, Chibiao Ding, Guangluan Xu   +3 more
exaly   +2 more sources

Frequent trajectory mining on GPS data

Proceedings of the 3rd International Workshop on Location and the Web, 2010
In this paper we propose a new algorithm for finding the frequent routes that a user has in his daily routine, in our method we build a grid in which we map each of the GPS data points that belong to a certain sequence. (We consider that each sequence conforms a route) we then carry out an interpolation procedure that has a probabilistic basis and find
Norma Saiph Savage, Shoji Nishimura, Norma Elva Chávez, Xifeng Yan   +3 more
openaire   +1 more source

Noise filtering, trajectory compression and trajectory segmentation on GPS data

2016 11th International Conference on Computer Science & Education (ICCSE), 2016
With the rapid development of GPS devices, satellite and wireless communications technologies, many trajectory data is generated. Consequently, processing and analyzing trajectory data have become a hot topic. In this paper, an improved noise filtering, trajectory compression and trajectory segmentation method based on Kalman filter and Douglas-Peucker
Kunhui Lin, Zhentuan Xu, Ming Qiu, Xiaoli Wang 0002, Tianxiong Han   +4 more
openaire   +1 more source

SeTra: A Smart Framework for GPS Trajectories' Segmentation

2014 International Conference on Intelligent Networking and Collaborative Systems, 2014
The main search engines nowadays are able to quickly perform searches on texts, images, audio or video. Recently a growing interest was devoted to the searching in the field of a new type of data resulting from the storage of GPS tracks: the trajectories.
Walter Balzano, DEL SORBO, MARIA ROSARIA
openaire   +2 more sources

Secure Computing of GPS Trajectory Similarity

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks, 2018
Location Based Services (LBS) powered apps generate a massive amount of GPS trajectory data everyday. Because many of these trajectories are similar, if not exactly the same, (e.g., people traveling together or taking the same route everyday), there is a significant amount of redundancy in the data generated.
Akshay Chandra Pesara, Vikram Patil, Pradeep K. Atrey   +2 more
openaire   +1 more source