A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Analysis of Accident Severity for Curved Roadways Based on Bayesian Networks
Crashes that occur on curved roadways are often more severe than straight road accidents. Previously, most studies focused on the associations between curved sections and roadway geometric characteristics. In this study, significant factors such as driver behavior, roadway features, vehicle factors, and environmental characteristics are identified and involved in analyzing traffic accident severity. Bayesian network analysis was conducted to deal with data, to explore the associations between variables, and to make predictions using these relationships. The results indicated that factors including point of impact, site of location, accident side of road, alcohol/drugs condition, etc., are relatively critical in crashes on horizontal curves. Accident severity increases when crashes occur on bridges. The sensitivity of accident severity to vehicle use, traffic control, point of impact, and alcohol/drugs condition is relatively high. Moreover, a combination of negative factors will aggravate accident severities. The results also proposed some suggestions regarding the design of vehicles, as well as the construction and improvement of curved roadways.
Analysis of Accident Severity for Curved Roadways Based on Bayesian Networks
Crashes that occur on curved roadways are often more severe than straight road accidents. Previously, most studies focused on the associations between curved sections and roadway geometric characteristics. In this study, significant factors such as driver behavior, roadway features, vehicle factors, and environmental characteristics are identified and involved in analyzing traffic accident severity. Bayesian network analysis was conducted to deal with data, to explore the associations between variables, and to make predictions using these relationships. The results indicated that factors including point of impact, site of location, accident side of road, alcohol/drugs condition, etc., are relatively critical in crashes on horizontal curves. Accident severity increases when crashes occur on bridges. The sensitivity of accident severity to vehicle use, traffic control, point of impact, and alcohol/drugs condition is relatively high. Moreover, a combination of negative factors will aggravate accident severities. The results also proposed some suggestions regarding the design of vehicles, as well as the construction and improvement of curved roadways.
Analysis of Accident Severity for Curved Roadways Based on Bayesian Networks
Lian Zhu (author) / Linjun Lu (author) / Wenying Zhang (author) / Yurou Zhao (author) / Meining Song (author)
2019
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Estimating Earthwork Volumes of Curved Roadways: Simulation Model
| Online Contents | 2003
Estimating Earthwork Volumes of Curved Roadways by Simulation
| British Library Conference Proceedings | 1994
Classifying Unlighted Roadways Based on Night-to-Total Accident Ratios
| British Library Online Contents | 1997
Classifying Unlighted Roadways Based on Night-to-Total Accident Ratios
| British Library Online Contents | 1997
Sight-Distance Design for Curved Roadways with Tangential Intersections
| British Library Online Contents | 1992