1. China Communications Presss, Beijing 100011, China;
2. Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100012, China;
3. Research Institute of Highway, Ministry of Transport, Beijing 100088, China;
4. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150090, China
Fuzzy Comprehensive Evaluation of the Adaptability of an Expressway System
HAN Ya-nan1,2, ZHOU Wei3, ZHANG Xi-qiao4
1. China Communications Presss, Beijing 100011, China;
2. Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing 100012, China;
3. Research Institute of Highway, Ministry of Transport, Beijing 100088, China;
4. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin Heilongjiang 150090, China
摘要The evaluation of the adaptability of expressway systems is a multiple-objective comprehensive evaluation problem. First, the concept of the adaptability of an expressway is defined, the 2-level index system to influencing factors include highway network layout, traffic operation quality, social influence, and environmental impact is established, and the calculation method or the basis of some indexes are given. Moreover, the membership relationships are discussed, the evaluation indexes are classified, and their weights are calculated, and also a fuzzy comprehensive evaluation model suitable for evaluating the adaptability of an expressway system is put forward. Finally, a numerical example indicates that the proposed method is suitable for the evaluation of the adaptability of an expressway system.
Abstract:The evaluation of the adaptability of expressway systems is a multiple-objective comprehensive evaluation problem. First, the concept of the adaptability of an expressway is defined, the 2-level index system to influencing factors include highway network layout, traffic operation quality, social influence, and environmental impact is established, and the calculation method or the basis of some indexes are given. Moreover, the membership relationships are discussed, the evaluation indexes are classified, and their weights are calculated, and also a fuzzy comprehensive evaluation model suitable for evaluating the adaptability of an expressway system is put forward. Finally, a numerical example indicates that the proposed method is suitable for the evaluation of the adaptability of an expressway system.
通讯作者:
HAN Ya-nan, hanyanan163@163.com
E-mail: hanyanan163@163.com
引用本文:
韩亚楠, 周伟, 章锡俏. 快速路系统适应性模糊综合评价[J]. Journal of Highway and Transportation Research and Development, 2014, 8(4): 97-103.
HAN Ya-nan, ZHOU Wei, ZHANG Xi-qiao. Fuzzy Comprehensive Evaluation of the Adaptability of an Expressway System. Journal of Highway and Transportation Research and Development, 2014, 8(4): 97-103.
[1] YAN Qiu, Du Wen. Ways and Methods to Make Urban Expressway Play Its Full Role[C]//International Conference on Transportation Engineering. Reston, VA:ASCE, 2009, 105-110.
[2] PARK S H, BIGHAN J M, KHO S Y, et al. Geocoding Vehicle Collisions on Korean Expressways Based on Postmile Referencing[J]. KSCE Journal of Civil Engineering, 2011, 15(8):1435-1441.
[3] ZHANG Qiang, WANG Zhao. Fuzzy Integration Method of Synthetic Evaluation for Supplier[C]//Services System and Services Management, 2005, Proceedings of ICSSSM' 05. New York:IEEE, 2005:647-650.
[4] WANG Feng-ling,XING Ting, ZHANG Jian-fei. Application Study of Fuzzy Evaluation in Road Net Alteration[J]. Journal of Computer Applications and Software, 2012, 29(2):159-160. (in Chinese)
[5] SHAO Min-hua, SUN Li-jun. United Evaluation Model of Traffic Operation Level for Different Types of Urban Road[J]. Journal of Tongji University:Natural Science Edition, 2010,38(11):1593-1599. (in Chinese)
[6] ZHI Xiao-ling, LI Xu-long. Evaluation of Implementing Effect of Expressway Emergency Management System[J]. Highway, 2011(2):93-100. (in Chinese)
[7] ZHAO Qian, CHAI Gan. Comprehensive Evaluation of Ramp Traffic Safety of Highway Ramp[J]. Journal of Transport Information and Safety, 2009, 27(4):88-93. (in Chinese)
[8] AYAG Z, OZDEMIR R G. A fuzzy AHP Approach to Evaluating Machine Tool Alternatives[J]. Journal of Intelligent Manufacturing, 2006, 17(2):179-190.
[9] CHEN Song-ling. Application of AHP Method in the Analysis of the Reason for Traffic Accidents in Cities[J]. Transpo World, 2009(5/6):129-131. (in Chinese)
[10] GUO Xiu-cheng, XIAO Shen, ZHANG Li-zao. Application of Multilevel Fuzzy Model in Plan Scheme Assessment in Highway Network Planning[J]. Journal of Highway and Transportation Research and Development,2003, 20(1):45-48. (in Chinese)
[11] LI Hong-ping, PEI Yu-long. Fuzzy Comprehensive Evaluation of ServiceLevel of Expressway System[J]. Journal of South China University of Technology:Natural Science Edition, 2009, 37(7):26-30. (in Chinese)
[12] LUO Yong, HUANG Long-hao. VISSIM Simulation Evaluation Design of City Expressway Intersection[J]. Computer Engineering and Applications, 2009, 45(22),234-235. (in Chinese)
[13] QIN Yu, YAN Ke-fei, WEN Ya. DEA Evaluation Method for Expressway Transport Effectiveness[J]. Journal of Highway and Transportation Research and Development, 2002, 19(6):177-180. (in Chinese)
[1]
李高盛, 彭玲, 李祥, 吴同. 基于LSTM的城市公交车站短时客流量预测研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 65-72.
[2]
胡宝雨, 赵琥, 孙祥龙, 王弟鑫, 刘宁. 城市公交与农村客运同步换乘模型研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 73-79.
[3]
郭建科, 邱煜焜, 白家圆, 王利. 基于城市公共交通可达性的医疗服务空间分异及均等化研究——以大连市为例[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 80-89.
[4]
赵妮娜, 赵晓华, 林展州, 葛书芳. 主线分流互通立交指路标志版面形式研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 90-102.
[5]
姜明, 陈艳艳, 冯移冬, 周瑞. 路侧示警桩设置关键指标研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 79-87.
[6]
蔡静, 刘莹, 张明辉. 京津冀货物运输结构调整策略研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 88-93.
[7]
胡祖平, 何建佳. 基于网络可靠性的街区开放适宜度研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 51-58.
[8]
陈红, 马晓彤, 赵丹婷. 基于元胞自动机的破损路面车辆换道仿真研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 75-84.
[9]
李新, 毛剑楠, 骆晨, 刘澜. 基于MFD的路网可扩展边界控制方法研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 59-65.
[10]
常云涛, 王奕彤. 连续流交叉口信号配时优化模型[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 66-74.
[11]
林丽, 冯辉, 朱泳旭. 基于Ring-Barrier相位的干线公交协调控制[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 85-91.
[12]
郝丽, 胡大伟, 李晨. T-JIT环境下企业供应链中采购管理供应商选择和订单分配研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 80-89.
[13]
姚佼, 徐洁琼, 倪屹聆. 城市干道多时段协调控制优化研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 60-70.
[14]
潘兵宏, 余英杰, 武生权, 严考权. 基于UC-win/Road仿真的高速公路出口预告标志前置距离研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 71-79.
[15]
何南, 李季涛. 考虑运输方式间影响关系的公路客运交通需求预测[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 90-96.