PREDICTION OF ACCIDENT SEVERITY USING ARTIFICIAL NEURAL NETWORKS

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REZAIE MOGHADDAM F.; AFANDIZADEH SH.; ZIYADI M.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF CIVIL ENGINEERING Year:2011 | Volume:9 | Issue:1 Page(s): 41-48

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Information Journal Paper

Title

PREDICTION OF ACCIDENT SEVERITY USING ARTIFICIAL NEURAL NETWORKS

Author(s)

REZAIE MOGHADDAM F. | AFANDIZADEH SH. | ZIYADI M. | Issue Writer Certificate

Keywords

CRASH SEVERITY

HUMAN FACTORS

HIGHWAY

TRAFFIC VOLUME

ARTIFICIAL NEURAL NETWORKS

Abstract

In spite of significant advances in HIGHWAYs safety, a lot of crashes in high severities still occur in HIGHWAYs. Investigation of influential factors on crashes enables engineers to carry out calculations in order to reduce CRASH SEVERITY. Therefore, this paper deals with the models to illustrate the simultaneous influence of HUMAN FACTORS, road, vehicle, weather conditions and traffic features including TRAFFIC VOLUME and flow speed on the CRASH SEVERITY in urban HIGHWAYs.This study uses a series of ARTIFICIAL NEURAL NETWORKS to model and estimate CRASH SEVERITY and to identify significant crash-related factors in urban HIGHWAYs. Applying ARTIFICIAL NEURAL NETWORKS in engineering science has been proved in recent years. It is capable to predict and present desired results in spite of limited data sets, which is the remarkable feature of the ARTIFICIAL NEURAL NETWORKS models.Obtained results illustrate that the variables such as HIGHWAY width, head-on collision, type of vehicle at fault, ignoring lateral clearance, following distance, inability to control the vehicle, violating the permissible velocity and deviation to left by drivers are most significant factors that increase CRASH SEVERITY in urban HIGHWAYs.

Cites

ANALYSIS AND FORECASTING THE SEVERITY OF CONSTRUCTION ACCIDENTS USING ARTIFICIAL NEURAL NETWORK

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APA: Copy

REZAIE MOGHADDAM, F., AFANDIZADEH, SH., & ZIYADI, M.. (2011). PREDICTION OF ACCIDENT SEVERITY USING ARTIFICIAL NEURAL NETWORKS. INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, 9(1), 41-48. SID. https://sid.ir/paper/271859/en

Vancouver: Copy

REZAIE MOGHADDAM F., AFANDIZADEH SH., ZIYADI M.. PREDICTION OF ACCIDENT SEVERITY USING ARTIFICIAL NEURAL NETWORKS. INTERNATIONAL JOURNAL OF CIVIL ENGINEERING[Internet]. 2011;9(1):41-48. Available from: https://sid.ir/paper/271859/en

IEEE: Copy

F. REZAIE MOGHADDAM, SH. AFANDIZADEH, and M. ZIYADI, “PREDICTION OF ACCIDENT SEVERITY USING ARTIFICIAL NEURAL NETWORKS,” INTERNATIONAL JOURNAL OF CIVIL ENGINEERING, vol. 9, no. 1, pp. 41–48, 2011, [Online]. Available: https://sid.ir/paper/271859/en

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