A Development of Traffic Accident Prediction Model at Rural Unsignalized Intersections Using Random Parameter

2017 ◽  
Vol 16 (4) ◽  
pp. 64-75 ◽  
Author(s):  
Kyu-Hoon Lee ◽  
◽  
Ju-Taek Oh ◽  
Jeong-Soon Park
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Random Parameter ◽  
Accident Prediction ◽  
Unsignalized Intersections

scholarly journals Accident Prediction Model at Unsignalized Intersection Using Multiple Linear Regression Method

2017 ◽  
Vol 1 (2) ◽  
pp. 379-389
Author(s):  
N. K. Oghoyafedo ◽  
J. O. Ehiorobo ◽  
Ebuka Nwankwo
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Design Standards ◽  
Accident Prediction ◽  
Geometric Characteristics ◽  
Unsignalized Intersections ◽  
Multiple Linear Regression Method

The issue of road accidents is an increasing problem in developing countries. This could be due to increasing road traffic/vehicle occupancy, geometric characteristics and road way condition. The factors influencing accidents occurrence are to be analysed for remedies. The purpose of this research is to develop an accident prediction model as a measure for future study, aid planning phase preceding the designed intervention, enhance the production of updated design standards to enable practitioners design unsignalized intersection for optimal safety, reduce the number of accidents at unsignalized intersections. Five intersections were selected randomly within Benin City and traffic count carried out at these intersections as well as geometric characteristics and roadway conditions. The prediction model was developed using multiple linear regression method and the standard error of estimate was computed to show how close the observed value is to the regression line. The model was validated using coefficient of multiple determination. The establishment of the relationship between accidents and traffic flow site characteristics on the other hand would enable improvement to be more realistically accessed. This study will also enhance the production of updated design standards to enable practitioners design unsignalized intersection for optimal safety, reduce the number of accidents at unsignalized intersections.

Research on Traffic Accident Prediction Model for Mountainous Freeways

ICCTP 2010 ◽  
2010 ◽  
Author(s):  
Weibin Li ◽  
Xiaoduan Sun ◽  
Yulong He
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Accident Prediction

Traffic accident prediction model for rural highways in Pernambuco

2021 ◽  
Author(s):  
Márcia R.O.B.C. Macedo ◽  
Maria L.A. Maia ◽  
Emília R. Kohlman Rabbani ◽  
Oswaldo C.C. Lima Neto ◽  
Maurício Andrade
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Rural Highways ◽  
Accident Prediction

The Prediction Model of Macro-Road Traffic Accident Basing on Radial Basis Function

2011 ◽  
Vol 97-98 ◽  
pp. 981-984 ◽  
Author(s):  
Cheng Ju Song ◽  
Quan Yan Li
Keyword(s):  
Prediction Model ◽  
Radial Basis Function ◽  
Basis Function ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Prediction Models ◽  
Road Traffic ◽  
Accident Prediction ◽  
Radial Basis ◽  
Traffic Operation

The Macro-road traffic accident prediction is an important branch of ITS, which could not only make improving direction, but also improve the traffic operation. The paper based on the analyzing the existing macro prediction model, aiming at the existing shortcomings of prediction models with low accuracy and slow convergence speed, introducing the Radial Basis Function, establishing the accident prediction model between Population, Economic situation, cars, road mileage and the index of accident Statistics, and apply Matlab to Simulation to prove the Feasibility and Practicality of the model.

scholarly journals Development of a Traffic Accident Prediction Model for Urban Roads

2011 ◽  
Vol 18 (1) ◽  
pp. 63-73
Author(s):  
박준태 ◽  
이동민 ◽  
Soobeom Lee
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Accident Prediction

A Study for Development of Expressway Traffic Accident Prediction Model Using Deep Learning

2018 ◽  
Vol 17 (4) ◽  
pp. 14-25 ◽  
Author(s):  
Jong-Deug Rye ◽  
◽  
Sangmin Park ◽  
Sungho Park ◽  
Cheolwoo Kwon ◽  
...  
Keyword(s):  
Deep Learning ◽  
Prediction Model ◽  
Traffic Accident ◽  
Accident Prediction

scholarly journals Developing a Traffic Accident Prediction Model for Freeways

2012 ◽  
Vol 30 (2) ◽  
pp. 101-116 ◽  
Author(s):  
Sung-Ra Mun ◽  
Young-Ihn Lee ◽  
Soo-Beom Lee
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Accident Prediction
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