Journal article
Evaluation of Winter Maintenance Chemicals and Crashes with an Artificial Neural Network
Transportation research record, Vol.2440(1), pp.43-50
01/2014
Handle:
https://hdl.handle.net/2376/120474
Abstract
The objective of this study was to investigate and evaluate the effects of winter maintenance chemicals on road safety. To this end, a winter chemical usage model was developed. A methodology combining artificial neural network (ANN) methods and sensitivity analysis is presented. In this method, the ANN system was used to establish the relationship between road safety and associated factors, and sensitivity analysis was used to identify significant variables and quantify their effects. The chemical usage model and the ANN system were then applied to case studies in Idaho. The results from the case study showed that the use of winter maintenance chemicals played an important role in road safety. Furthermore, benefit–cost analysis of the case studies indicated that the use of winter maintenance chemicals produced more benefits than costs.
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Details
- Title
- Evaluation of Winter Maintenance Chemicals and Crashes with an Artificial Neural Network
- Creators
- Zhirui Ye - Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, 2 Sipailou, Nanjing, Jiangsu 210096, ChinaYueru Xu - Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, 2 Sipailou, Nanjing, Jiangsu 210096, ChinaDavid Veneziano - Western Transportation Institute, Montana State University, 2327 University Way, Bozeman, MT 59715Xianming Shi - Western Transportation Institute, Montana State University, 2327 University Way, Bozeman, MT 59715
- Publication Details
- Transportation research record, Vol.2440(1), pp.43-50
- Academic Unit
- Civil and Environmental Engineering, Department of
- Identifiers
- 99900612706501842
- Language
- English
- Resource Type
- Journal article