Investigating impact of the heterogeneity of trajectory data distribution on origin‐destination estimation: a spatial statistics approach-Reference-Cited by-同舟云学术

Investigating impact of the heterogeneity of trajectory data distribution on origin‐destination estimation: a spatial statistics approach

Published:2020-10 Issue:10 Volume:14 Page:1218-1227
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET intell. transp. syst

Author:

Rao Wenming¹,Xia Jingxin¹,Wang Chen¹,Lu Zhenbo¹,Chen Qian²

Affiliation:

1. Intelligent Transportation System Research Center, Southeast UniversityNo. 2 Dongnandaxue Road, Jiangning DistrictNanjing211189People's Republic of China

2. School of Automation, Southeast UniversityNo. 2 Sipailou, Xuanwu DistrictNanjing210096People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0476

Reference29 articles.

1. Path inference from sparse floating car data for urban networks

2. Reconstructing maximum likelihood trajectory of probe vehicles between sparse updates

3. Quantifying transit travel experiences from the users’ perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses

4. Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach

5. A new methodology for vehicle trajectory reconstruction based on wavelet analysis

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