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 contribution

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	IEEE
Pages	626-633
Number of pages	8
ISBN (Electronic)	9781728140346
ISBN (Print)	9781728140353
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 & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation - Leicester, United Kingdom Duration: 19 Aug 2019 → 23 Aug 2019

Conference

Conference	2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation
Country/Territory	United Kingdom
City	Leicester
Period	19/08/19 → 23/08/19

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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). IEEE. https://doi.org/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. IEEE, 2020. pp. 626-633

@inproceedings{f2077686b09b4823bfe198f81aaac727,

title = "Multi-source data integration-based urban road GPS environment friendliness estimation",

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.",

author = "Liantao Ma and Yasha Wang and Guangju Peng and Chaohe Zhang and Chao Chen and Junfeng Zhao and Jiangtao Wang",

year = "2020",

month = apr,

day = "9",

doi = "10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144",

language = "English",

isbn = "9781728140353",

pages = "626--633",

booktitle = "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 = "IEEE",

note = "2019 IEEE SmartWorld, Ubiquitous Intelligence \& Computing, Advanced \& Trusted Computing, Scalable Computing \& Communications, Cloud \& Big Data Computing, Internet of People and Smart City Innovation ; Conference date: 19-08-2019 Through 23-08-2019",

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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. IEEE, pp. 626-633, 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, Leicester, United Kingdom, 19/08/19. 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. IEEE, 2020. p. 626-633.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-source data integration-based urban road GPS environment friendliness estimation

AU - Ma, Liantao

AU - Wang, Yasha

AU - Peng, Guangju

AU - Zhang, Chaohe

AU - Chen, Chao

AU - Zhao, Junfeng

AU - Wang, Jiangtao

PY - 2020/4/9

Y1 - 2020/4/9

N2 - 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.

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.

UR - https://pureportal.coventry.ac.uk/en/publications/4eb5d529-9bdd-40df-8069-10297be91129

U2 - 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

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

M3 - Conference contribution

SN - 9781728140353

SP - 626

EP - 633

BT - 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

PB - IEEE

T2 - 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation

Y2 - 19 August 2019 through 23 August 2019

ER -

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. IEEE. 2020. p. 626-633 doi: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00144

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

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