Who are on the road? A study on vehicle usage characteristics based on one-week vehicle trajectory data

Author:

Deng Jihao12ORCID,Cui Yiqing3,Chen Xiaohong1,Bachmann Chris2,Yuan Quan1

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, People’s Republic of China

2. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, People’s Republic of China

3. Shanghai Urban Planning and Design Research Institute, Shanghai, People’s Republic of China

Funder

National Natural Science Foundation of China

Shanghai Sailing Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference48 articles.

1. Origin–destination trips by purpose and time of day inferred from mobile phone data

2. Transportation mode-based segmentation and classification of movement trajectories

3. ST-DBSCAN: An algorithm for clustering spatial–temporal data

4. Analysis of Berlin's taxi services by exploring GPS traces

5. Chen, Xiaohong, Kunyun Li, Hua Zhang, Quan Yuan, and Qian Ye. 2020. Identifying and Recognizing Usage Pattern of Electric Vehicles Using GPS and On-Board Diagnostics Data, 85–97. Seattle: American Society of Civil Engineers.

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2. Multi-scenario Route Choice Modeling Based on Random Parameters Multinomial Logit Model with Heterogeneity in Means and Variance;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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