Spatial-Temporal Analysis of Crash Severity: Multisource Data Fusion Approach
High severity crashes are one of the negative consequences of suburban transportation for a range of factors. Fatalities, injuries, and medical costs, as well as road and car damage and mental side effects, are more important consequences of severe crashes. The goal of this research is to figure out...
Saved in:
Main Authors: | Amirhossein Taheri, Arash Rasaizadi, Seyedehsan Seyedabrishami |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2022/2828277 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process
by: Arash Rasaizadi, et al.
Published: (2021-01-01) -
Methane Extraction and Resource Utilization Based on Multisource Data Fusion
by: Wensheng Chen, et al.
Published: (2022-01-01) -
An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data
by: Ge Gao, et al.
Published: (2020-01-01) -
An Analysis of the Spatial Variations in the Relationship Between Built Environment and Severe Crashes
by: Onur Alisan, et al.
Published: (2024-12-01) -
High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion
by: Ye Yuan, et al.
Published: (2025-01-01)