Multi-source data integration-based urban road GPS environment friendliness estimation

Liantao Ma; Yasha Wang; Guangju Peng; Chaohe Zhang; Chao Chen; Junfeng Zhao; Jiangtao Wang

doi:10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

Multi-source data integration-based urban road GPS environment friendliness estimation

Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

In urban areas, multipath errors may occur due to blockage and reflection of GPS signals by buildings, and significantly reduce the accuracy of GPS positioning. The degree to which the environment causes multipath errors and negatively impacts GPS accuracy is referred to as GPS Environment Friendliness (GEF) in this paper. The estimation of GEF helps location-based-service remind users to reduce the psychological expectation of GPS accuracy when they enter a poor GEF area. While existing studies estimate the GEF only based on the vehicle trajectory data, we propose a more efficient matrix completion-based approach that uses the historical bus trajectory data with the integration of the building layout information and road tag information. Based on one month GPS trajectory data of 4835 buses within the second ring road in Chengdu, China, we estimate the GEF of 8831 different road segments and verify the rationality of the results by satellite maps, street views, and field tests.

Original language	English
Title of host publication	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	626-633
Number of pages	8
ISBN (Electronic)	978-1-7281-4034-6
ISBN (Print)	978-1-7281-4035-3
DOIs	https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144
Publication status	Published - 9 Apr 2020
Externally published	Yes
Event	2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 - Leicester, United Kingdom Duration: 19 Aug 2019 → 23 Aug 2019

Publication series

Name	Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019

Conference

Conference	2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
Country/Territory	United Kingdom
City	Leicester
Period	19/08/19 → 23/08/19

Funding

This work is supported by the National Natural Science Foundation of China (No.61772045).

Keywords

GPS positioning error
Location based service
Map matching
Matrix completion

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Urban Studies

Access to Document

10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

Cite this

Ma, L., Wang, Y., Peng, G., Zhang, C., Chen, C., Zhao, J., & Wang, J. (2020). Multi-source data integration-based urban road GPS environment friendliness estimation. In Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (pp. 626-633). Article 9060226 (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

Multi-source data integration-based urban road GPS environment friendliness estimation. / Ma, Liantao; Wang, Yasha; Peng, Guangju et al.
Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. Institute of Electrical and Electronics Engineers Inc., 2020. p. 626-633 9060226 (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Ma, L, Wang, Y, Peng, G, Zhang, C, Chen, C, Zhao, J & Wang, J 2020, Multi-source data integration-based urban road GPS environment friendliness estimation. in Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019., 9060226, Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, Institute of Electrical and Electronics Engineers Inc., pp. 626-633, 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019, Leicester, United Kingdom, 19/08/19. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

Ma L, Wang Y, Peng G, Zhang C, Chen C, Zhao J et al. Multi-source data integration-based urban road GPS environment friendliness estimation. In Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. Institute of Electrical and Electronics Engineers Inc. 2020. p. 626-633. 9060226. (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019). doi: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

Ma, Liantao ; Wang, Yasha ; Peng, Guangju et al. / Multi-source data integration-based urban road GPS environment friendliness estimation. Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 626-633 (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019).

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AU - Peng, Guangju

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AU - Zhao, Junfeng

AU - Wang, Jiangtao

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AB - In urban areas, multipath errors may occur due to blockage and reflection of GPS signals by buildings, and significantly reduce the accuracy of GPS positioning. The degree to which the environment causes multipath errors and negatively impacts GPS accuracy is referred to as GPS Environment Friendliness (GEF) in this paper. The estimation of GEF helps location-based-service remind users to reduce the psychological expectation of GPS accuracy when they enter a poor GEF area. While existing studies estimate the GEF only based on the vehicle trajectory data, we propose a more efficient matrix completion-based approach that uses the historical bus trajectory data with the integration of the building layout information and road tag information. Based on one month GPS trajectory data of 4835 buses within the second ring road in Chengdu, China, we estimate the GEF of 8831 different road segments and verify the rationality of the results by satellite maps, street views, and field tests.

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ER -

Multi-source data integration-based urban road GPS environment friendliness estimation

Abstract

Publication series

Conference

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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