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Table 2 Studies on traffic incident duration time analysis
From: Overview of traffic incident duration analysis and prediction
Method Category | Methodology | Researcher | Data source | Duration time phase | Duration distribution |
|---|---|---|---|---|---|
Hazard-based duration model (HBDM) | AFT hazard-based model | Jones et al. [41] | 2156 accidents | Response time + clearance time | Log-logistic |
Nam, Mannering [9] | 681 incidents | Detection/reporting, Response time, and Clearance time | Weibull, Weibull, and Log-logistic | ||
Chung et al. [63] | 2940 accidents | Incident duration | Log-logistic | ||
Alkaabi et al. [25] | 583 accidents | Clearance time | Weibull | ||
Chung, Yoon [21] | 1815 accidents | Incident duration | Log-normal | ||
Ghosh et al. [24] | 32,574 incidents | Clearance time | Generalized F | ||
Kaabi et al. [28] | 504 accidents | Response time | Weibull with frailty | ||
Hojati et al. [37] | 4926 incidents | Duration time | Weibulla | ||
Wang et al. [42] | 1198 incidents | Incident duration time | Log-logistic | ||
Chimba et al. [39] | 10,187 incidents | Incident duration time | Log-logistic | ||
Hojati et al. [23] | 430 incidents | Incident duration timeb | Weibull and log-logisticc | ||
Ghosh et al. [26] | 32,574 incidents | Incident clearance time | Generalized F | ||
Chung et al. [53] | 3863 accidents | Duration time | Gamma and inverse Gaussian | ||
Semi-parametric hazard-based model | Hou et al. [27] | 2584 incidents | Clearance time | ||
Shi et al. [64] | 7203 incidents | Incident duration | |||
Regression and statistical tests | Log-linear models | Golob et al. [12] | 525 accidents | Incident duration | Log-normal |
Statistical tests | Giuliano [13] | 512 accidents | Response time + clearance time | Log-normal | |
Structural equation model | Lee et al. [11] | 3147 incidents | Incident clearance time | ||
OLS regression truncated regression | Zhang, Khattak [31] | 37,379 incidents | Event durationd | Log-normal or log-logistic distribution | |
Analysis of variance | Hojati et al. [36] | 4926 records | Incident duration time | Log-logistic and log-normale | |
Mechanism-based approach | Hou et al. [29] | 828 incidents | Response time | ||
Association rule learning algorithm | Lin et al. [65] | 999 accidents | Incident clearance time | ||
Binary probit and switching regression models | Ding et al. [51] | 1056 incidents | Response time and clearance time |