| Title | Analyzing the impacts of traffic states on freeway rear-end crash sequences |
| Year | 2018 |
| Degree | Master |
| School | Department of Transportation and Logistics Management National Chiao Tung University |
| Author | |
| Summary | According to the findings of previous research, there are relations between traffic flow and crash occurrences on freeway However, the actual behaviors and how crashes happened under different traffic state cannot be clearly verified and explained. Previous studies have indicated many factors are associated with rear-end crash risk or freeway crash, but the connections between factors and the contribution to the progression of a freeway rear-end crash are scarcely been discussed. Naturalistic Driving Study provides a great opportunity to better understand the causality of crash and near crash. This study utilize NDS data to define behavioral-based microscopic traffic states, then develop a sequential model to evaluate the impacts of traffic states and other factors on the progression of a crash.The model results shows that the mechanism of a crash happened is that under different traffic states, different driving behaviors(events) are more likely to happen(for instance, vehicle ahead decelerating versus other vehicle lane change).When the event trigger, if at the same time the driver is distracted , driver’s perception time will be increased, which may finally causing the driver not able to react in time, eventually evolving into a crash. |
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