Estimating an Injury Crash Rate Prediction Model based on severity levels evaluation: the case study of single-vehicle run-off-road crashes on rural context

PurposeThe purpose of this paper is to focus on the assembly quality of copier products, specifically, concentrating on the prediction of the operator‐induced assembly defect.Design/methodology/approachBased on the Shibata model, the design‐based assembly complexity is redesigned. And the Sony Standard Time is replaced by the Fuji Xerox Standard Time in the calculation of the process‐based assembly complexity. Furthermore, different correlation functions are attempted and comparatively studied in the regression analysis. Thereby, a new defect rate prediction model is proposed and validated with three copier assembly cases.FindingsThe new proposed model is much more accurate and stable in the human‐induced assembly defect prediction in copier production.Practical implicationsThe proposed model can be used to ensure the assembly quality by removing potential defects at the structure and process design stages. Meanwhile, with this model, the interactions between the engineers and designers can be more effective.Originality/valueThis paper presents a novel assembly defect rate prediction model for copier assembly quality management.

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A Research of Heart Rate Prediction Model Based on Evolutionary Neural Network

2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation ◽

10.1109/icbmi.2011.40 ◽

2011 ◽

Cited By ~ 2

Author(s):

Feng Xiao ◽

Ming Yuchi ◽

Mingyue Ding ◽

Jun Jo

Keyword(s):

Neural Network ◽

Heart Rate ◽

Prediction Model ◽

Evolutionary Neural Network ◽

Rate Prediction ◽

Model Based

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Research on Advertising Click-Through Rate Prediction Model Based on Ensemble Learning

Communications in Computer and Information Science - Recent Advances in Data Science ◽

10.1007/978-981-15-8760-3_6 ◽

2020 ◽

pp. 82-93

Author(s):

Xiaojuan He ◽

Wenjie Pan ◽

Hong Cheng

Keyword(s):

Prediction Model ◽

Ensemble Learning ◽

Rate Prediction ◽

Model Based ◽

Click Through Rate

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Evaluation of Roundabout-Related Single-Vehicle Crashes

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2637-03 ◽

2017 ◽

Vol 2637 (1) ◽

pp. 17-26 ◽

Cited By ~ 2

Author(s):

Beau Burdett ◽

Andrea R. Bill ◽

David A. Noyce

Keyword(s):

Negative Binomial ◽

Vehicle Crashes ◽

Impaired Driving ◽

Crash Data ◽

Road Crashes ◽

Run Off ◽

Traffic Volumes ◽

Single Vehicle ◽

Total Proportion ◽

Crash Types

Roundabouts reduce fatal and injury crashes at intersections when converted from other intersection control types. In Wisconsin, roundabouts have been linked to a 38% decrease in fatal and injury crashes. Part of this reduction can be attributed to crash types that result in the mitigation of more serious injuries. However, the reduction comes at a cost because other crash types, such as single-vehicle collisions, may increase. Six years of crash data on 53 roundabouts in Wisconsin were examined for crash causes and geometric characteristics that affected single-vehicle crashes. Weather and impaired driving, particularly by younger drivers, were primary causes for more than half of all single-vehicle crashes at the study roundabouts. Younger drivers (18 to 24 years of age) were involved in a significantly higher proportion of single-vehicle crashes than the total proportion of licensed drivers in that age group. Younger drivers were involved in approximately one-third of all crashes that involved impaired driving and in two-thirds of all speed-related single-vehicle crashes. A negative binomial model was constructed to estimate run-off-road crashes at approaches. It was found that roundabouts with higher approach speeds and higher traffic volumes experienced more run-off-road crashes. Landscaped central islands experienced significantly lower frequencies of run-off-road crashes.

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