1. School of Transportation, Southeast University, Nanjing Jiangsu 210096, China;
2. Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety, Ministry of Education, Changsha University of Science and Technology, Changsha Hunan 410114, China
Decision-Making Method of Grey Lattice Order for the Through Scheme of Arterial Highways in a City Area
TU Sheng-wen1,2, GUO Xiu-cheng1, LIU Hai-qiang1
1. School of Transportation, Southeast University, Nanjing Jiangsu 210096, China;
2. Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety, Ministry of Education, Changsha University of Science and Technology, Changsha Hunan 410114, China
摘要For scientific and reasonable decision making regarding the through scheme of arterial highways in city areas, the grey correlation is commonly used to measure the closeness between an alternative scheme and an ideal scheme. In this paper, a grey lattice order decision-making method is proposed, and using the proposed method, the through schemes of arterial highway G204 in Yancheng City are compared. The analysis indicates that from the aspects of economic and environmental impacts, the through model that bypasses the city is the best through scheme despite an increase in detour distance of the vehicles using the route. The application results show that the grey lattice order method combines the advantages of the grey correlation and lattice order methods to better reflect the relative relationships of the pros and cons between alternatives.
Abstract:For scientific and reasonable decision making regarding the through scheme of arterial highways in city areas, the grey correlation is commonly used to measure the closeness between an alternative scheme and an ideal scheme. In this paper, a grey lattice order decision-making method is proposed, and using the proposed method, the through schemes of arterial highway G204 in Yancheng City are compared. The analysis indicates that from the aspects of economic and environmental impacts, the through model that bypasses the city is the best through scheme despite an increase in detour distance of the vehicles using the route. The application results show that the grey lattice order method combines the advantages of the grey correlation and lattice order methods to better reflect the relative relationships of the pros and cons between alternatives.
基金资助:Supported by the Jiangsu Transport Science Research Project (No.07R17);the Open Research Fund Program of the Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety, Ministry of Education, Science and Technology of Changsha University (No.kfj100309)
通讯作者:
TU Sheng-wen, 79418129@qq.com
E-mail: 79418129@qq.com
引用本文:
涂圣文, 过秀成, 刘海强. 干线公路城市过境方案决策的灰色格序方法[J]. Journal of Highway and Transportation Research and Development, 2014, 8(3): 83-89.
TU Sheng-wen, GUO Xiu-cheng, LIU Hai-qiang. Decision-Making Method of Grey Lattice Order for the Through Scheme of Arterial Highways in a City Area. Journal of Highway and Transportation Research and Development, 2014, 8(3): 83-89.
[1] GUI Bin, ZHONG Wen-xiang. Analysis on Territory Passing-through Planning of Large-middle City and Its Problem[J]. Communication Standardization, 2005(6):74-77. (in Chinese)
[2] LI Yong-jun. The Investigation on the Coordination of Transit Highway Program with Urban Planning[J]. Guangxi Communication Science & Technology, 2003, 28(5):116-117. (in Chinese)
[3] TU Sheng-wen, GUO Xiu-cheng, SUN Zhi-hua, et al. Research on the Evaluation Model for Through Route Planning of Arterial Highways[J]. Journal of Transportation Engineering and Information, 2009, 7(1):32-37. (in Chinese)
[4] LI Xiao-wei, CHEN Hong, SHAO Hai-peng, et al. Grey Correlation Priority Decision Model of Highway Construction Project Based on Cumulative Prospect Theory[J]. Journal of Highway and Transportation Research and Development, 2011, 28(10):130-135. (in Chinese)
[5] LIU Feng,WEI Guang-hui. Fuzzy Optimization of Hydraulic Project Scheme Based on Improved Grey Relation Analysis[J]. Journal of Hydroelectric Engineering,2012, 31(1):10-14. (in Chinese)
[6] ZHANG Teng, MA Rong-guo. Multi-level Fuzzy Comprehensive Evaluation Method of Lead Performance for High-Speed Railway[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2):97-101. (in Chinese)
[7] LIU Yan-fang, ZHOU Yong-tao, BAO Wei-gang. Comprehensive Performance Evaluation of Concrete Beam Bridges Based on Fuzzy Evaluation Theory and Analytic Hierarchy Process[J]. Journal of Highway and Transportation Research and Development, 2012, 29(12):96-100. (in Chinese)
[8] WANG Ming-xiao. Application of Fuzzy Comprehensive Evaluation Method in Risk Assessment of Excavation Engineering[J]. Journal of Highway and Transportation Research and Development, 2011, 28(6):57-61. (in Chinese)
[9] YANG Shang-yang, ZHANG Long-jie, YANG Chan-chan, et al. Highway Route Scheme Optimization Model Based on Identical Degree of Set Pair Analysis[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(3):115-119. (in Chinese)
[10] XIANG Qin, ZHU Hong-wei. Optmial Option of Design Plans for Cutting Slope Based on Vague Set[J]. Journal of Highway and Transportation Research and Development, 2011, 28(1):52-55. (in Chinese)
[11] GUO Yao-huang, LIU Jia-cheng, LIU Chang-qing, et al. Lattice Order Decision Making[M]. Shanghai:Shanghai Scientific and Technical Publishers, 2003.
[12] DAVEY B A, PRIESTLEY H A. Introduction to Lattices and Order[M]. London:Cambridge University Press, 2002:287-289.
[13] WU Xian-cong, LIU Xing. Performance Appraisal Method of Managers Based on Lattice Order Theory[J]. Systems Engineering-Theory & Practice, 2011, 31(2):239-246. (in Chinese)
[14] LIU Yu-zeng, QIAN Bing-yi. Multi-objective Lattice-Order Decision-Making Method of Scheme Selection for Rail Transit Network[J]. Journal of Traffic and Transportation Engineering, 2011, 11(5):76-82. (in Chinese)
[15] WU Hui-guo, LIU Chun-jiao, XIAO Ying-jie. Organization Scheme Selection for Arrival and Departure of LNG Vessels Based on Lattice Order Decision-Making Theory[J]. Journal of Shanghai Maritime University, 2012, 33(2):10-13. (in Chinese)
[16] GUO Ya-jun, YI Ping-tao. Character Analysis of Linear Dimensionless Methods[J]. Statistical Research, 2008, 25(2):93-100. (in Chinese)
[17] XI Kuan-wu, QIN Zeng-xiong, SHI Jian-jun, et al. Application of Deviation Method of Minimum Subordinative Degree on Scheme Evaluation of Road Network Planning[J]. Journal of Systems Engineering, 2004, 19(3):317-320. (in Chinese)
[18] YANG Yu-zhong, WU Li-yun, ZHANG Qiang. Decision Method Based on Grey Entropy for Uncertainty and Its Application[J]. Industrial Engineering and Management, 2006, 11(2):92-94. (in Chinese)
[19] GUO Xiu-ying. Improved Entropy Method to Determine the Weights of Index With Intervals[J]. Statistics and Decision, 2012(17):32-34. (in Chinese)
[20] SUN Zuo-an, WANG Qi, ZHANG Tie-yan, et al. Function by Resolution Factor and Its Determination Method[J]. Journal of Liaoning Institute of Technology, 1997, 17(4):71-72. (in Chinese)
[21] FAN Kai, WU Hao-ying. A New Method on Identification Coefficient of Relational Grade for Gray System[J]. Journal of Wuhan University of Technology, 2002, 24(7):86-88. (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]
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.
[8]
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.
[9]
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.
[10]
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.
[11]
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.
[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.