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

Author(s):  
Jong-Deug Rye ◽  
◽  
Sangmin Park ◽  
Sungho Park ◽  
Cheolwoo Kwon ◽  
...  
Author(s):  
Márcia R.O.B.C. Macedo ◽  
Maria L.A. Maia ◽  
Emília R. Kohlman Rabbani ◽  
Oswaldo C.C. Lima Neto ◽  
Maurício Andrade

2011 ◽  
Vol 97-98 ◽  
pp. 981-984 ◽  
Author(s):  
Cheng Ju Song ◽  
Quan Yan Li

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.


2011 ◽  
Vol 18 (1) ◽  
pp. 63-73
Author(s):  
박준태 ◽  
이동민 ◽  
Soobeom Lee

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

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