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Sep 8, 2022
Spatial Heterogeneity Analysis of Network Traffic State Based on Grid
Authors: Yubin Zhang [email protected], Liangwen Wang [email protected], Heng Ding [email protected], Shiguang Wang [email protected], and Xiaoshan Lu [email protected]Author Affiliations
Publication: CICTP 2022
ABSTRACT
Establishing the relationship between built environment and traffic congestion states provides a feasible direction to explore factors affecting the spatial distribution of road traffic states, and supports to meet needs of traffic management and control under the information environment. The study analyzes the spatial pattern of traffic state, establishes two regression models to identify factors affecting local traffic congestion, and visualizes the impact degree of spatial heterogeneity. Firstly, the real data are collected and processed, and congested grids are selected as study range. Then, independent and dependent variables are obtained, presented in grids by ArcGis. Third, the ordinary least squares (OLS) and the geographically weighted regression (GWR) are applied to fitting. Results show the influence and the influential degree are different in spatial distribution. Analysis of the traffic state by GWR based on grids is feasible to present the traffic state.
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Published online: Sep 8, 2022
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1School of Automobile and Transportation Engineering, Hefei Univ. of Technology, Hefei, China. Email: [email protected]
2School of Automobile and Transportation Engineering, Hefei Univ. of Technology, Hefei, China. Email: [email protected]
3School of Automobile and Transportation Engineering, Hefei Univ. of Technology, Hefei, China. Email: [email protected]
4School of Automobile and Transportation Engineering, Hefei Univ. of Technology, Hefei, China. Email: [email protected]
5School of Automobile and Transportation Engineering, Hefei Univ. of Technology, Hefei, China. Email: [email protected]
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