In the context of traffic incident duration, specific hazard distributions are suggested by empirical and theoretical analyses using different incident datasets with different supplier TAK-700 incident types and locales. Previous studies have noted various distributions of incident duration, such as log-normal distribution, log-logistic distribution, Weibull distribution, and generalized F distribution. Studies have revealed that the distribution of incident durations can be viewed as log-normal [20, 21]. A different study  that focused
on the South Korean freeway system indicated that log-normal is an acceptable, but not the best, distribution for traffic durations. Other researchers have found that the log-logistic distribution is best for traffic incident duration/clearance time. Jones et al.  used AFT models with log-logistic distribution on freeway incident records in Seattle to investigate the factors affecting traffic incident duration time. Chung  used the log-logistic
AFT model to develop a traffic incident duration time prediction model; the resulting mean absolute percentage error (MAPE) showed that the developed model can provide a reasonable prediction based on a two-year incident duration dataset drawn from the Korea Highway Corporation on 24 major freeways in Korea. Using another dataset obtained from the Korea Highway Corporation, the log-logistic AFT model has also been used to analyze the critical factors affecting incident duration . Qi and Teng  developed an online incident duration prediction model based on a log-logistic AFT model. Hu et al.  used a log-logistic AFT model to predict incident duration time for in-vehicle navigation systems based on Transport Protocol Experts Group data in London and obtained a reasonable result. Wang et al.  estimated traffic duration times by using a log-logistic AFT model based on traffic
incidents occurring on a freeway in China. The Weibull distribution has also been used in previous studies. Nam and Mannering  studied Batimastat three duration phases (i.e., detection/reporting, response, and clearance times), and the results revealed that the Weibull AFT model with gamma heterogeneity is appropriate for detection/reporting and response time, whereas the log-logistic AFT model is appropriate for clearance time. Kang and Fang  used the Weibull AFT model to predict traffic incident duration time in China. To test the goodness of fit, Alkaabi et al.  used the Weibull AFT model without gamma heterogeneity to analyze traffic incident clearance time in Abu Dhabi, United Arab Emirates. Tavassoli Hojati et al.