Map-matching poor-quality GPS data in urban environments: the pgMapMatch package

Author:

Millard-Ball Adam1ORCID,Hampshire Robert C.2ORCID,Weinberger Rachel R.3ORCID

Affiliation:

1. Environmental Studies Department, University of California, Santa Cruz, USA

2. Gerald R. Ford School of Public Policy, University of Michigan, Ann Arbor, USA

3. Weinberger & Associates, Brooklyn, USA

Funder

Small Business Innovation Research

Publisher

Informa UK Limited

Subject

Transportation,Geography, Planning and Development

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Open source map matching with Markov decision processes: A new method and a detailed benchmark with existing approaches;Transactions in GIS;2023-10-18

2. A Path Increment Map Matching Method for High-Frequency Trajectory;IEEE Transactions on Intelligent Transportation Systems;2023-10

3. An ASM-CF model for anomalous trajectory detection with mobile trajectory big data;Physica A: Statistical Mechanics and its Applications;2023-07

4. Forecasting Parking Search Times Using Big Data;Proceedings of the 12th International Scientific Conference on Mobility and Transport;2023

5. Low Rank Aligning Two Point Sets for Unsupervised Correcting GPS points of Parking-slots;2022 China Automation Congress (CAC);2022-11-25

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