Analysis of the Evolution Characteristics of Urban Expressway Traffic Oscillations
HU Yanran1, BING Qichun1, ZHANG Weijian1, SHEN Fuxin1, GAO Peng2, LIU Dongjie2
1. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China; 2. Qingdao Transportation Public Service Center, Qingdao 266100, China
Abstract:In order to extract the oscillations data more accurately, the evolution characteristics of traffic oscillations are further explored. First, the growth characteristics of the oscillation are analyzed by fitting the speed standard deviation of the oscillating vehicle using a single exponential decay function. Secondly, the short-term Fourier transform is used to extract the change of frequency intensity to track the acceleration and deceleration change points of the oscillation head car and the deceleration stage, so as to explore the propagation mechanism of the oscillation. The analysis results show that the standard deviation of the vehicle′s speed increases along the concave convoy during the oscillation. The initial stage of the oscillation shows the forerunner stage, this stage of the speed change is slow, and as the speed fluctuation increases, the oscillation growth is spread upstream. Affected by the randomness and instability of vehicles in the interweaving area, the oscillations in different lanes of the main line vary in duration, amplitude and intensity of the deceleration phase due to different vehicle behaviors.
[1]SCHOENHOF M, HELBING D. Empirical features of congested traffic states and their implications for traffic modeling[J]. Transportation Science, 2007,41(2):135-166. [2]LAVAL J A. Stochastic processes of moving bottlenecks: approximate formulas for highway capacity[J]. Transportation Research Record: Journal of the Transportation Research Board, 2006,1988(1):86-91. [3]LAVAL J A, DAGANZO C F. Lane-changing in traffic streams[J]. Transportation Research Part B, 2006,40(3):251-264. [4]ZHENGZ D, AHN S, CHEN D J, et al. Applications of wavelet transform for analysis of freeway traffic: bottlenecks, transient traffic, and traffic oscillations[J]. Transportation Research Part B, 2011,45(2):372-384. [5]ZHENG Z, AGN S, MONSERE C M. Impact of traffic oscillations on freeway crash occurrences[J]. Accident Analysis and Prevention, 2010,42 (2):626-636. [6]王飞跃,戴汝为,张嗣瀛,等.关于城市交通、物流、生态综合发展的复杂系统研究方法[J].复杂系统与复杂性科学,2004(2):60-69. WANG F Y, DAI R W, ZHANG C Y, et al. A complex system approach for studying sustainable and integrated development of metropolitan transportation, logistics and ecosystems[J]. Complex Systems and Complexity Science,2004(2):60-69. [7]HELBING D, HENNECKE A, TREIBER M. Phase diagram of traffic states in the presence of inhomogeneities[J]. Physical Review Letter, 1999,82 (21):4360-4363. [8]JIANG R, JIN C J, ZHANG H M, et al. Experimental and empirical investigations of traffic flow instability[J]. Transportation Research Part C, 2018, 94:83-98. [9]TREIBER M, KESTING A. The intelligent driver model with stochasticity-new insights into traffic flow oscillations[J]. Transportation research procedia, 2017, 23: 174-187. [10] LAVAL J A, TOTH C S, ZHOU Y. A parsimonious model for the formation of oscillations in car-following models[J]. Transportation Research Part B: Methodological, 2014, 70: 228-238. [11] TIAN J F, JIANG R, JIA B, et al. Empirical analysis and simulation of the concave growth pattern of traffic oscillations[J]. Transportation Research Part B, 2016, 93:338-354. [12] TIAN J F, ZHANG H M, TREIBER M, et al. On the role of speed adaptation and spacing indifference in traffic instability: evidence from car-following experiments and its stochastic model[J]. Transportation Research Part B,2019,129:334-350. [13] 黄永现.交通震荡演化特性的实验研究和建模仿真[D]. 合肥: 中国科学技术大学,2019. HUANG Y X. Experimental research and modeling on the evolution of traffic oscillation[D]. Hefei: University of Science and Technology of China,2019. [14] TIAN J F, LI G Y, TREIBER M, et al. Cellular automaton model simulating spatiotemporal patterns, phase transitions and concave growth pattern of oscillations in traffic flow[J]. Transportation Research Part B Methodological, 2016, 93: 560-575. [15] SAIFUZZAMAN M, ZHENG Z D, HAQUE M, et al. Understanding the mechanism of traffic hysteresis and traffic oscillations through the change in task difficulty level[J]. Transportation Research Part B,2017,105: 523-538. [16] ZHENG Z D, AHN S, CHEN D, et al. Freeway traffic oscillations: microscopic analysis of formations and propagation using wavelet transform[J]. Transportation Research Part B, 2011, 45(9): 1378-1388. [17] MAUCH M, CASSIDY, M J. Freeway traffic oscillations: observations and predictions[C]// Transportation and Traffic Theory in the 21st Century: Proceedings of the 15th International Symposium on Transportation and Traffic Theory. Adelaide, Australia, 2002,653-674. [18] 张娟.城市快速路瓶颈交通震荡特性研究[J].交通信息与安全,2015,33(5): 43-48. ZHANG J. A study of traffic oscillations at the bottlenecks on urban expressways[J]. Journal of Transport Information and Safety,2015,33(5): 43-48. [19] LI X P, PENG F, OUYANG Y F. Measurement and estimation of traffic oscillation properties[J]. Transportation Research Part B: Methodological, 2010, 44(1):1-14. [20] ZHAO T, NIE Y M, Zhang Y. Extended spectral envelope method for detecting and analyzing traffic oscillations[J]. Transportation Research part B: methodological, 2014, 61: 1-16. [21] 刘聪聪.移动瓶颈诱发的交通流演化特性分析[D].北京:北京交通大学, 2018. LIU C C. Analysis of the evolution characteristics of traffic flow induced by moving bottleneck[D]. Beijing: Beijing Jiaotong University,2018. [22] 李帅.交通震荡演化机理的元胞自动机建模与仿真研究[D].哈尔滨:哈尔滨工业大学,2020. LI S. Modeling and simulation of cellular automata research on evolution mechanism of traffic oscillation[D]. Harbin: Harbin Institute of Technology,2020. [23] 龚玲艳.基于非对称驾驶行为理论的停走交通波演变特征研究[D].长沙:长沙理工大学,2017. GONG L Y. Research on the evolution characteristics of stop and go traffic wave based on asymmetric theory of driving behavior[D]. Changsha: Changsha University of Science and Technology,2017 [24] JIANG R, HU M B, ZHANG H M, et al. On some experimental features of car-following behavior and how to model them[J]. Transportation Research Part B, 2015, 80:338-354. [25] JIANG R, HU M B, ZHANG H M, et al. Traffic experiment reveals the nature of car-following[J]. PLOS ONE, 2014,9(4): e94351.