Travel mode detection method based on big smartphone global positioning system tracking data-Reference-Cited by-同舟云学术

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Travel mode detection method based on big smartphone global positioning system tracking data

Published:2017-06 Issue:6 Volume:9 Page:168781401770813
ISSN:1687-8140
Container-title:Advances in Mechanical Engineering
language:en
Short-container-title:Advances in Mechanical Engineering

Author:

Zhou Chaoran¹,Jia Hongfei¹,Gao Jingxin²,Yang Lili¹,Feng Yixiong³,Tian Guangdong¹

Affiliation:

1. School of Transportation, Jilin University, Changchun, China

2. Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai, China

3. State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou, China

Publisher

SAGE Publications

Subject

Mechanical Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/1687814017708134

Reference31 articles.

1. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands

2. An automated GPS-based prompted recall survey with learning algorithms

3. Short-Term Traffic Speed Prediction for an Urban Corridor

4. A Tracking System Supporting Large-Scale Users Based on GPS and G-Sensor

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1. LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification;IEEE Transactions on Intelligent Transportation Systems;2023-12

2. Benchmark of travel mode detection with smartphone GPS trajectories;Handbook of Mobility Data Mining;2023

3. Kick-scooters identification in the context of transportation mode detection using inertial sensors: Methods and accuracy;Journal of Intelligent Transportation Systems;2022-11-11

4. Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning;KSCE Journal of Civil Engineering;2022-06-24

5. Machine Learning in Automobiles;Advances in Electronic Government, Digital Divide, and Regional Development;2022-05-13

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