|
|
|
| Study on Evaluation of Urban Plane interchange Traffic Organization Based on Combined Weighting-TOPSIS Method |
| ZHUO Ya-juan, JIA Zhi-xuan, HAN Zhi-qiang, LI Ming-lei, CHEN Jia-yi |
| Department of Transportation and Logistics, Taiyuan University of Science and Technology, Tai yuan Shanxi 030024, China |
|
|
|
|
Abstract The plane interchange adopts the form and traffic organization mode of alfalfa leaf interchange, that is, by adding right turn ramps and small loops on the 4 corners of the ordinary grade intersection, it is similar to alfalfa leaf interchange in form. Because of its low engineering cost, flexible traffic organization, simple control mode and high traffic efficiency, it has become one of the selection types of urban expressway and main road or main road and main road intersection. According to the geometric characteristics and traffic organization characteristics of plane interchange, and the evaluation objectives of intersection operation efficiency, safety, environment and other aspects, an index system based on 5 specific evaluation indicators is proposed, including traffic capacity, average vehicle delay, intersection safety, CO emission, and detour distance. To overcome the subjective or objective situation of the index weight in the process of multi index evaluation, the TOPSIS method is optimized by using combined weighting, and the traffic organization evaluation model of plane interchange based on combined weighting TOPSIS method is constructed. Taking the 3 traffic organization modes of the West Middle Ring Auxiliary Road and Xinghua West Street plane interchange in Taiyuan as an example, in continuous working days, traffic data are obtained through intersection flow direction investigation, point sample delay investigation, headway and speed investigation, VISSIM intersection simulation model is established, and the evaluation index values are obtained directly or indirectly. The advantages and disadvantages of various schemes are determined through the combined weighting-TOPSIS method proposed in this paper. The calculation results are compared with the actual situation, which verifies the rationality of the method. The result can provide theoretical support for the rational evaluation of the urban plane interchange traffic organization or the regional traffic organization scheme using this idea.
|
|
Received: 21 June 2022
|
| Fund:Supported by the General Program of National Natural Science Foundation of China (No.51968063); the Science and Technology Innovation Project of Colleges and Universities in Shanxi Province (No.2020l0348); the Shanxi Philosophy and Social Science Planning Project (No.2020yj127) |
|
|
|
[1] WANG Ying-jie, SONG Tao. Researches on the Operation Mechanism and Application Practice of the Plane Interchange in Urban Intersections[J]. Technology & Economy in Areas of Communications. 2015(4):52-55. (in Chinese)
[2] Transportation Research Board. Highway Capacity Manual 2000[R]. Washington, D. C.:Transportation Research Board, 2000.
[3] ZHENG X Y, DOU R, DING H, et al. Comprehensive Evaluation of Signalized Intersections Level-of Service Based on Information Entropy Theory[C]//11th International Conference of Chinese Transportation Professionals (ICCTP). New York:Curran Associates, Inc, 2011.
[4] PATEL N, MUKUERJEE A B. Assessment of Network Traffic Congestion through Traffic Congestion Through Traffic Congest ability Value (TCV):A New Index[J]. Bulleting of Geography, Socioeconomic Series, 2015, 30(30):123-134.
[5] ZHAO Xing, LIN Hao, LIU Yi, et al. Comprehensive Evaluation of Signal Control Strategy at Urban Road Intersection[J]. Journal of Chongqing Jiaotong university (Natural science). 2020, 39(5):7-13, 31. (in Chinese)
[6] CHEN Yan-fang, WANG Meng-yu. Study on Regional Traffic Safety Evaluation Based on Fuzzy Comprehensive Evaluation Method[J]. Traffic Engineering, 2021, 21(1):86-91. (in Chinese)
[7] CHENG Wei. Theory and Application of Urban Traffic Conflict Technology[M]. Beijing:Science Press, 2006:15-50. (in Chinese)
[8] GUO Yan-yong, LIU Pan, WU Yao, et al. Safety Evaluation of Unconventional Signalized Intersection Based on Traffic Conflict Extreme Model[J]. China J. Highw. Transp. 2022, 35(1):85-92. (in Chinese)
[9] JIANG Huan-xin, WANG Tao, CHENG Yi-yi, et al. A Real Time Operational State Evaluation Method for Isolated Intersections Based on Multi-index Fusion[J]. Journal of Transport Information and Safety, 2020, 38(4):84-94. (in Chinese)
[10] PEI Yu-long, ZHANG Zhan-zhan. Research on the Evolution Trend Index of Urban Traffic Congestion Based on CRITIC-TOPSIS Method[J]. Technology & Economy in Areas of Communications. 2021, 23(2):1-5. (in Chinese)
[11] LI Jia, YUE Zhong-qi, LI Qun, et al. Comprehensive Evaluation of Signalized Intersections by Grey Clustering[J]. Journal of Hunan University (Natural Sciences), 2003(1):101-106. (in Chinese)
[12] ZHU Xiang-pu, YE Jia-wei, WANG Yu. Research and Realization of Plane Grade Separation Plan Based on Traffic Flow Simulation[J]. Transportation Science & Technology, 2008(6):97-100. (in Chinese)
[13] DAI Ming-qiang, SONG Ye-xin. Mathematical Model and Its Application[M]. 2nd ed. Beijing:Science Press, 2015. (in Chinese)
[14] YANG Xiao-guang, ZHAO Jing, MA Wan-jing, et al. Review on Calculation Method for Signalized In tersection Capacity[J]. China Journal of Highway and Transport. 2014, 27(5):148-157. (in Chinese)
[15] WANG Chen, XIA Jing-xin, LU Zhen-bo, et al. Safety Evaluation Method Based on Traffic Simulation and Extreme Value Theory[J]. China Journal of Highway and Transport, 2018, 31(4):288-295, 303. (in Chinese)
[16] LIU Lin. Comprehensive Evaluation of Signalized Intersections Based on Vehicle Emissions[D]. Beijing:Institute of Technology Beijing Institute of Technology. 2015. (in Chinese)
[17] HAN Sa. A Model of Vehicle Routing and Control at Intersection Considering Fuel Consumption and Emission[J]. Journal of Highway and Transportation Research and Development. 2019, 36(10):98-104. (in Chinese)
[18] LIU G, LÜ J W, HU B. A New Testability Allocation Method Based on Improved AHP[C]//201729th Chinese Control and Decision Conference (CCDC). Chongqing:IEEE, 2017:6390-6394.
[19] CHEN P Y. Effects of the Entropy Weight on TOPSIS[J]. Expert Systems with Applications Volume, 2021, 168:114186.
[20] ZHANG Yuan, HUANG Jun, DING Wen-tao, et al. Evaluation Method of Port Competitiveness Considering Different Cargo Types Based on Combinatorial Weighted-TOPSIS Method[J]. Technology & Economy in Areas of Communications. 2021, 21(28):12294-12298. (in Chinese)
[21] YANG Yan-fang, QIN Yong, MU HAN Nu-er-lan. VISSIM Model Calibration Based on SOGA[J]. Journal of Transportation Systems Engineering and Information Technology. 2017, 17(3):91-97. (in Chinese)
[22] LI Su-lan, ZHANG Xie-dong, SHI Jun-qing, et al. Traffic Flow Modeling and Capacity Analysis of Signalized Intersection[J]. Journal of Highway and Transportation Research and Development, 2017, 34(12):108-114. (in Chinese) |
|
|
|
2022, Vol. 16 
