Chapter
Aug 30, 2023
Exploring Microscopic Driving Behaviors Using Large-Scale GPS Trajectory Data
Authors: Miao Yang [email protected], Chengyu Zhou [email protected], and Ye Li [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
The integration of large-scale trajectory data sets to conduct in-depth research on driving behavior is critical to traffic safety management. Based on large-scale GPS trajectory data, we obtain three time periods and extract four characteristic parameters of driving behavior and perform Principal Component Analysis (PCA). Based on Gaussian Mixed Model (GMM), two principal components are used as clustering basis. Then, the driving risk levels of cautious and aggressive drivers are defined, and the changes and differences in driving behavior of different drivers are analyzed. We further compare the proportion of different driver types and driving behaviors on weekdays and weekends and under different weather conditions. In addition, through the visualized spatial-temporal data distribution map, the spatial distribution changes of different driver types are analyzed. Results of this study are valuable for safety analysis of the individual driving behavior.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Analysis (by type)
- Data analysis
- Distribution functions
- Driver behavior
- Engineering fundamentals
- Information management
- Infrastructure
- Mathematical functions
- Mathematics
- Methodology (by type)
- Models (by type)
- Research methods (by type)
- Spatial analysis
- Spatial data
- Spatial distribution
- Traffic analysis
- Traffic engineering
- Traffic management
- Traffic models
- Traffic safety
- Transportation engineering
Authors
Affiliations
1Key Laboratory of Road and Traffic Engineering, School of Traffic and Transportation Engineering, Tongji Univ., Shanghai, PR China. Email: [email protected]
2Shanghai Construction No. 1 (Group) Co. Ltd., Shanghai, PR China. Email: [email protected]
3School of Traffic and Transportation Engineering, Central South Univ., Changsha, Hunan, PR China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.