Chapter
Apr 26, 2012
Multiple Linear Regression-Based Approach to the Analysis of Multi-Anticipative Car-Following Behavior
Authors: Xiao Zhang [email protected], Duijia Zhao, Ping Han, and Junmin ShenAuthor Affiliations
Publication: ICTE 2011
Abstract
The paper empirically investigates the multi-anticipative car-following behavior using a multiple linear regression approach. Two important aspects of the multiple linear regression of a modified generalized linear multi-anticipative car-following model are addressed, e.g., multicollinearity between explanatory variables and serial correlation of time series data. Preliminary results show that a driver in stop-and-go traffic conditions is able to react to the stimuli of the first, second, and even the third leader. Moreover, it is found that a driver in normal traffic conditions only reacts to the stimuli of the first leader. Therefore, it is empirically showed that the stimuli a driver perceives may be different in different traffic condition with respect to multi-anticipative car-following behavior.
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© 2011 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Correlation
- Driver behavior
- Engineering fundamentals
- Infrastructure
- Linear analysis
- Linear functions
- Mathematical functions
- Mathematics
- Models (by type)
- Regression analysis
- Statistical analysis (by type)
- Statistics
- Structural analysis
- Structural engineering
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
- Travel patterns
Authors
Affiliations
Key Laboratory of Highway Construction and Maintenance Technique in Loess Area, Shanxi Provincial Research Institute of Communications, Taiyuan, Shanxi 030006, China.E-mail: [email protected]
Duijia Zhao
Key Laboratory of Highway Construction and Maintenance Technique in Loess Area, Shanxi Provincial Research Institute of Communications, Taiyuan, Shanxi 030006, China
Ping Han
Key Laboratory of Highway Construction and Maintenance Technique in Loess Area, Shanxi Provincial Research Institute of Communications, Taiyuan, Shanxi 030006, China
Junmin Shen
Key Laboratory of Highway Construction and Maintenance Technique in Loess Area, Shanxi Provincial Research Institute of Communications, Taiyuan, Shanxi 030006, China
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