Analysis on Road Traffic-status Discrimination Results at Different Time Intervals
戴学臻1, 王少玲1, 苑仁腾1, 吴智伟2
1. School of Highway, Chang' an University, Xi' an Shannxi 710064, China; 2. Henan Dingzhi Engineering Consulting Co., Ltd., Zhengzhou Henan 450000, China
Analysis on Road Traffic-status Discrimination Results at Different Time Intervals
DAI Xue-zhen1, WANG Shao-ling1, YUAN Ren-teng1, WU Zhi-wei2
1. School of Highway, Chang' an University, Xi' an Shannxi 710064, China; 2. Henan Dingzhi Engineering Consulting Co., Ltd., Zhengzhou Henan 450000, China
摘要To estimate traffic status on urban road accurately and determine the appropriate traffic-status evaluation interval, this research introduces a method based on the theory of set-pair analysis, and takes the number of vehicles passing the segment continuously as time interval of evaluation. First, to improve the operating efficiency of the model, based on the summary and analysis of the current research status, time interval of evaluation could be obtained according to the number of vehide passing and the instantaneous speed is taken as a single index. Second, according to the principle of set-pair analysis, set pair H (A, B)is formed by sets A (measured data) and B (standard of indices). A traffic-status evaluation model with a five-element coefficient is established from the perspectives of identity, difference, and reverse. Finally, to verify the validity of the model, we take the measured data of the eastern segments of the South Second Ring Road in Xi'an City as an example and use the fuzzy-evaluation and set-pair analysis methods to distinguish the traffic-status grade of this segment of roads. Results prove the superiority of our method. The evaluation results of the two methods are basically the same, but the traffic-condition evaluation method based on set-pair analysis theory is more sensitive to the change in speed. When evaluating road-traffic conditions, a smaller time interval means higher sensitivity of traffic conditions to changes in speed. When the evaluation time interval is less than 1 min, the result of traffic-status evaluation is no longer affected by the time interval.
Abstract：To estimate traffic status on urban road accurately and determine the appropriate traffic-status evaluation interval, this research introduces a method based on the theory of set-pair analysis, and takes the number of vehicles passing the segment continuously as time interval of evaluation. First, to improve the operating efficiency of the model, based on the summary and analysis of the current research status, time interval of evaluation could be obtained according to the number of vehide passing and the instantaneous speed is taken as a single index. Second, according to the principle of set-pair analysis, set pair H (A, B)is formed by sets A (measured data) and B (standard of indices). A traffic-status evaluation model with a five-element coefficient is established from the perspectives of identity, difference, and reverse. Finally, to verify the validity of the model, we take the measured data of the eastern segments of the South Second Ring Road in Xi'an City as an example and use the fuzzy-evaluation and set-pair analysis methods to distinguish the traffic-status grade of this segment of roads. Results prove the superiority of our method. The evaluation results of the two methods are basically the same, but the traffic-condition evaluation method based on set-pair analysis theory is more sensitive to the change in speed. When evaluating road-traffic conditions, a smaller time interval means higher sensitivity of traffic conditions to changes in speed. When the evaluation time interval is less than 1 min, the result of traffic-status evaluation is no longer affected by the time interval.
基金资助:Supported by the National Natural Science Foundation of China (No.51878062)
通讯作者:
DAI Xue-zhen
E-mail: dxz@chd.edu.cn
引用本文:
戴学臻, 王少玲, 苑仁腾, 吴智伟. Analysis on Road Traffic-status Discrimination Results at Different Time Intervals[J]. Journal of Highway and Transportation Research and Development, 2020, 14(2): 93-101.
DAI Xue-zhen, WANG Shao-ling, YUAN Ren-teng, WU Zhi-wei. Analysis on Road Traffic-status Discrimination Results at Different Time Intervals. Journal of Highway and Transportation Research and Development, 2020, 14(2): 93-101.
[1] HAO Yuan, XU Tian-dong, SUN Li-jun. Fuzzy Logics Based Traffic State Identification on Urban Expressway[J]. Highway Engineering, 2008, 31(2):94-99. (in Chinese) [2] REN Qi-liang, XIE Xiao-song. Identification Method of the Road Traffic Conditions Based on Genetic-dynamic Fuzzy Clustering Algorithm[J]. Journal of Transportation Engineering and Information, 2007,5(3):12-15, 25. (in Chinese) [3] YANG Zhao-sheng, ZHANG Mao-lei. A Model for Road Traffic State Analysis Based on Fuzzy Comprehensive Evaluation[J]. Highway Traffic Science and Technology, 2010, 27(9):121-126. (in Chinese) [4] WANG W X, GUO R J, YU J. Research on Road Traffic Congestion Index Based on Comprehensive Parameters:Taking Dalian City as an Example[J]. Advances in Mechanical Engineering.2018, 10(6) 1-8. [5] KONG Xiang-jie, XU Zhen-zhen, SHEN Guo-jiang. Urban Traffic Congestion Estimation and Prediction Based on Floating Car Trajectory Data[J]. Future Generation Computer Systems.2015,61:167-73. [6] ZHU Yun, WANG Jian-yu, YANG Ying, et al. Fuzzy Neural Network Analysis of Urban Road Traffic Congestion[J]. Transactions of Beijing Institute of Technology, 2018, 38(5):487-492. (in Chinese) [7] ZOU Liang, XU Jian-min, ZHU Ling-xiang. Traffic State Classification Model of Travel Times Based on the Fusion Technique[J]. Journal of Tsinghua University:Natural Science Edition, 2007(S2):1822-1825. (in Chinese) [8] WANG Jian-ling, JIANG Yang-sheng. Recognition and Analysis of Traffic Congestion[J]. Systems Engineering, 2006(10):105-109. (in Chinese) [9] HUANG Yan-guo, XU Lun-hui, KUANG Shen-zhen. Urban Road Traffic State Identification Based on Fuzzy C-mean Clustering[J]. Journal of Chongqing Jiaotong University:Natural Science Edition, 2015, 34(2):102-107. (in Chinese) [10] MA Ya-feng, LIU Lan, LUO Chen. Evaluation of Regional Traffic Status Based on VKT Distribution of Accumulative Volume Ratio[J]. Journal of Highway and Transportation Research and Development, 2019, 36(3):152-158. (in Chinese) [11] GUAN Wei, HE Shu-yan. Phase Identification of Urban Freeway Traffic Based on Statistical Properties[J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 7(5):42-50. (in Chinese) [12] DAI Xue-zhen, YUAN Ren-teng, PEI Wen-jie, et al. Discrimination of Urban Road Traffic Based on Set Pair Analysis[J]. Journal of Chongqing Jiaotong University:Natural Science Edition, 2019, 38(7):96-102. (in Chinese) [13] JIANG Gui-yan, TAN Long-hui, WANG Jiang-feng. Traffic Congestion Identification Method of Urban Expressway[J]. Journal of Traffic and Transportation Engineering, 2006, 6(3):87-91. (in Chinese) [14] YANG Zu-yuan, HUANG Xi-yue, DU Chang-hai, et al. Study of Urban Traffic Congestion Judgment Based on FFCM Clustering[J]. Application Research of Computers, 2008, 25(9):2768-2770. (in Chinese) [15] LI Mei-hong, SUN Di-hua, TU ping. Real-time Road Traffic Service Level Model (SLM) for Urban Arteries Based on GPS Equipped Floating Vehicles[J]. Journal of Transportation Engineering and Information, 2008, 6(1):73-78. (in Chinese) [16] JIANG Gui-yan, CHANG An-de, NIU Shi-feng. Traffic Congestion Identification Method Based on License Plate Recognition Data[J]. Journal of Harbin Institute of Technology, 2011, 43(4):131-135. (in Chinese) [17] LI Chen-peng, HAN Yin, WANG Xin-yu. Traffic State Estimation Method of Bus Route in Connected Vehicle Environment[J]. Transportation Research, 2018, 4(5):29-34. (in Chinese) [18] HAO Yuan, XU Tian-dong, SUN Li-jun. Recurrent Traffic Congestion Analysis on Urban Expressway[J]. Computer and Communications, 2007, 35(2):91-94, 98. (in Chinese) [19] WANG Xi, ZHU Fu-ling. Evaluation Model of Traffic Congestion Based on Gaussian Mixture Distribution[J]. Journal of Highway and Transportation Research and Development, 2011, 28(2):127-132. (in Chinese) [20] ZHAO Ke-qin. Set Pair Analysis and Its Preliminary Application[M]. Hangzhou:Zhejiang Science and Technology Publishing House. 2000. (in Chinese) [21] BU L, LI S C, SHI S S, et al. A New Advance Classification Method for Surrounding Rock in Tunnels Based on the Set-pair Analysis and Tunnel Seismic Prediction System[J]. Geotechnical and Geological Engineering, 2018, 36(4):2403-2413. [22] MEN B H, LIU H L. Evaluation of Sustainable Use of Water Resources in the Beijing-Tianjin-Hebei Region Based on S-Type Functions and Set Pair Analysis. Water.2018, 10(7), 925. [23] SUN Bo, YANG Chun-feng, WEI Ming, et al. A Scheduling Model of Shuttle Buses for Stochastic Demand Passengers Based on Set Pair Analysis[J]. Journal of Transport Information and Safety, 2018, 36(6):130-134. (in Chinese) [24] WANG Ming-wu, JIN Ju-liang, ZHOU Yu-liang. Set Pair Analysis Coupling Method and Application[M], Beijing:Science Press, 2014. (in Chinese) [25] GB/T33171-2016, Specification for Urban Traffic Performance Evaluation[S].(in Chinese) [26] WANG Wen-sheng, LI Yue-qing, JIN Ju-liang, et al. Set Pair Analysis of Hydrology and Water Resources[M], Beijing:Science Press, 2010. (in Chinese) [27] SONG Chun-jin, ZHENG Yu-yi, ZHANG Jiang-shan. Adaption of Five-element Connection Number to the Quality Assessment of Underground Water in Garbage Disposal Plant[J]. Environmental Science and Management, 2011, 36(3):178-182. (in Chinese) [28] WANG Wen-sheng, JIN Ju-liang, DING Jing, et al. A New Approach to Water Resources System Assessment:Set Pair Analysis Method[J]. Chinese Science (Series E:Technological Science), 2009, 39(9):1529-1534. (in Chinese) [29] CHEN Qian-sheng. Attribute Recognition Theoretical Model with Application[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 1997, 33(1):14-22. (in Chinese)
2020, Vol. 14 
