1. School of Civil Engineering, Hebei University of Technology, Tianjin 300401, China;
2. Tianjin Municipal Engineering Design & Research Institute, Tianjin 300051, China
Traffic Safety Evaluation Method for Highways Based on Improved Grey Correlation-combination Weighting Method
YANG Chun-feng1, GAO Heng-nan2, SUN Ji-shu1, MIAO Da-ping1
1. School of Civil Engineering, Hebei University of Technology, Tianjin 300401, China;
2. Tianjin Municipal Engineering Design & Research Institute, Tianjin 300051, China
摘要In order to solve the haphazard and limitations caused by single weighting in highway traffic safety evaluation methods, considering the aspects of road alignment, road conditions, safety facilities, and traffic environment, a two-level indicator system for highway safety level evaluation is established. Combining the common subjective weighting and objective weighting features, an optimized highway safety evaluation model is established on the basis of consistency checking and improved grey correlation-combination weighting method. The result of the case shows that the application of improved grey correlation-combination weighting method not only can effectively evaluate the overall safety of highways and get the safety level for the constructed highway safety evaluation system but also can determine the index weight and its impact degree on traffic safety in the evaluation of a particular project.
Abstract:In order to solve the haphazard and limitations caused by single weighting in highway traffic safety evaluation methods, considering the aspects of road alignment, road conditions, safety facilities, and traffic environment, a two-level indicator system for highway safety level evaluation is established. Combining the common subjective weighting and objective weighting features, an optimized highway safety evaluation model is established on the basis of consistency checking and improved grey correlation-combination weighting method. The result of the case shows that the application of improved grey correlation-combination weighting method not only can effectively evaluate the overall safety of highways and get the safety level for the constructed highway safety evaluation system but also can determine the index weight and its impact degree on traffic safety in the evaluation of a particular project.
通讯作者:
YANG Chun-feng,E-mail:cfy211@163.com
E-mail: cfy211@163.com
引用本文:
杨春风, 高恒楠, 孙吉书, 苗大萍. 基于改进的灰关联度组合赋权法的公路交通安全评价研究[J]. Journal of Highway and Transportation Research and Development, 2016, 10(4): 71-77.
YANG Chun-feng, GAO Heng-nan, SUN Ji-shu, MIAO Da-ping. Traffic Safety Evaluation Method for Highways Based on Improved Grey Correlation-combination Weighting Method. Journal of Highway and Transportation Research and Development, 2016, 10(4): 71-77.
[1] YU Peng-cheng. Research on Time Characteristics of Drivers' Stress Response in Urban Road Environment[D]. Xi'an:Chang'an University, 2014. (in Chinese)
[2] SUN Wen-pu, XU Jin-liang,LIU Wen-jun. Comprehensive Evaluation of Effect of Traffic Environment on Expressway Traffic Operational Safety[J]. Journal of Highway and Transportation Research and Development, 2014, 31(12):124-131,138. (in Chinese)
[3] ZHAO Jing. Mathematical Modeling and Mathematical Experiment[M]. Beijing:Higher Education Press, 2000. (in Chinese)
[4] HU Qi-zhou, ZHANG Wei-hua. Fuzzy Interval Evaluation Method for Highway Traffic Safety[J]. Chian a Safety Science Journal, 2007, 17(8):26-31. (in Chinese)
[5] NIU Shi-feng, ZHENG Yong-xiong, FENG Sa-dan, et al. Traffic Safety Evaluation Method for Highway Section Based on Fault Tree[J]. Journal of Chongqing Jiaotong University:Natural Science Edition, 2013, 32(1):87-90. (in Chinese)
[6] AN Guan-yu, TANG Bo-ming, TANG Jiang, et al. Evaluation for Highway Safety Based on Matter Element Analysis[J].Technology of Highway and Transport, 2011(1):122-125, 129. (in Chinese)
[7] YUAN Li, WU Meng-qian, MA Yong-feng. Evaluation Method of Arterial Highway Traffic Safety Based on AHP[J]. Highway Engineering, 2013, 38(4):199-202, 221.(in Chinese)
[8] LIN Ding, OUYANG Tian-shui, WANG Jian, et al. Study on Safety Evaluation Gray-based Cluster for Mountainous Freeway[J]. Highway Engineering, 2014, 39(2):41-44.(in Chinese)
[9] XIONG Zhu. Safety Evaluation of Arterial Highway Based on Road Conditions[D]. Chongqing:Chongqing Jiaotong University, 2009. (in Chinese)[ZK)]
[10] CHEN Chun-hua, YE Fei. Research on Comprehensive Objective Determining Weights in the Multiple Objective Decision Making Based on the Grey Relation[J]. Journal of Gansu Science, 2001, 13(2):83-87. (in Chinese)
[11] LI Dong-yin, ZHOU Ying, LI Hua-min, et al. Evaluation Model on the Coal Scientized Mining Coefficient by the Subjective Dynamic weight[J]. Journal of Mining & Safety Engineering, 2012, 29(2):173-177. (in Chinese)
[12] SHAN Cheng-ju, DONG Zeng-chuan, FAN Kong-ming, et al. Application of Combination Weighting Method to Weight Calculation in River Health Evaluation[J]. Journal of Hohai University:Natural Sciences Edition,2012, 40(6):622-628. (in Chinese)
[13] BAAKE P, BOOM A. Vertical Product Differentiation, Network Externalities, and Compatibility Decisions[J].International Journal of Industrial Organization, 2001, 19(1):267-284.
[14] CHEN Kui, ZHANG Tian-yun, HU Yu-xia, et al. Study on Applicability of Objective Weighted Model in the Selection of Engineering Materials[J]. Materials Reuiew, 2013, 27(5):104-106, 111. (in Chinese)
[15] TANG Liang, WANG Zheng-yong, SUN Di-hua, et al. Study on Fuzzy Comprehensive Evaluation for Commercial Vehicle Safety-based[J]. Journal of Wuhan University of Technology:Transportation Science & Engineering Edition, 2013, 37(6):1211-1216. (in Chinese)
[16] DENG Ju-long. Basis of Gray Theory[M]. Wuhan:Huazhong University of Science and Technology Press, 2002. (in Chinese)
[17] LIU Zhen-yu. Two Problems Existing in Grey System Analysis[J]. System Engineering-Theory and Practice, 2000, 20(9):123-124. (in Chinese)
[18] WU Li-feng, LIU Si-feng. Panel Data Clustering Method Based on Grey Convex Relation and Its Application[J].Control and Decision,2013, 28(7):1033-1036, 1045. (in Chinese)
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