Chapter
Jul 2, 2019
Real-Time Traffic Safety Evaluation Model for Freeways in Foggy Conditions
Authors: Rong Wang [email protected], Yuanli Gu [email protected], and Entan Huang [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
In order to predict the real-time traffic safety for freeways in foggy weather, a safety evaluation model based on improved entropy weight method is proposed. Speed and visibility are taken as the evaluation indicator. The membership function is composed of the rise semi-trapezoid distribution, the trapezoid distribution, and the falling semi-trapezoid distribution. The improved entropy weight method is adopted to improve the objectivity of the weight, and the weighted average method is utilized to evaluate the safety level. The model is verified by using traffic data and meteorology data of G4. The results demonstrate that the predicted results based on the improved entropy weight method are consistent with the measured results, which can accurately reflect the safety level of freeways in foggy weather.
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Published In
CICTP 2019
Pages: 3207 - 3214
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Beijing 100044, China. E-mail: [email protected]
MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Beijing 100044, China. E-mail: [email protected]
Luqiao design and Research Institute of China Highway Engineering Consultants Corporation, Wuhan 430023, China. E-mail: [email protected]
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