Chapter
Apr 26, 2012
Predicting Crashes Based on Artificial Neural Networks and Identifying the Hazardous Crash Type at Intersections
Authors: Xianghai Meng [email protected], Hongfei Sheng, Xiaoning Wang, and Yuejing LvAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
Research works to predict the traffic crash and to identify the hazard plane intersections are reviewed firstly. Then, this paper studies the use of a well-known artificial neural network (ANN), the multilayer perception (MLP), in predicting the number of each type of crash. The crash data include 4340 fatal/injury crashes occurred on 197 at-grade intersections in Harbin city from 2000 to 2004. Modeling result showed that the MLP is capable of predicting the crashes by type, and the testing accuracy is up to 89%. Lastly, a method to identify the hazardous crash patterns for a single intersection is presented based on the "overrepresented" concept.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Accidents
- Artificial intelligence and machine learning
- Business management
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intersections
- Model accuracy
- Models (by type)
- Neural networks
- Practice and Profession
- Public administration
- Public health and safety
- Traffic accidents
- Traffic engineering
- Traffic management
- Traffic safety
- Transportation engineering
Authors
Affiliations
Department of Traffic Engineering, School of Science and Engineering on Communications, Harbin Institute of Technology, P.O. Box 2525, Haihe Road, Nangang District, Harbin, 150090. E-mail: [email protected]
Hongfei Sheng
Department of Traffic Engineering, School of Science and Engineering on Communications, Harbin Institute of Technology, P.O. Box 2525, Haihe Road, Nangang District, Harbin, 150090
Xiaoning Wang
Department of Traffic Engineering, School of Science and Engineering on Communications, Harbin Institute of Technology, P.O. Box 2525, Haihe Road, Nangang District, Harbin, 150090
Yuejing Lv
Department of Traffic Engineering, School of Science and Engineering on Communications, Harbin Institute of Technology, P.O. Box 2525, Haihe Road, Nangang District, Harbin, 150090
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