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Speed distribution for interrupted flow facility under mixed traffic

Author

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  • Mondal, Satyajit
  • Gupta, Ankit

Abstract

Modeling of traffic parameters is a fundamental aspect of solving various traffic and transportation problems. Among them, the speed of the vehicle is often used to evaluate different traffic stream parameters. A detailed investigation of vehicular speed is extremely required in modeling various stream parameters both in theoretical and simulation-based approaches. Speed is a continuous random variable, and most of the studies proposed a normal distribution to describe speed distribution characteristics. However, in a mixed traffic stream, the speed distribution deviates from the normal distribution due to the heterogeneity. Therefore, an extensive investigation of speed distribution characteristics is carried out at signalized intersection under mixed traffic scenarios. A total number of 16 four-legged signalized intersections were selected from four different metro cities (Delhi, Kolkata, Bhubaneswar, and Jaipur) for detailed analysis of speed distribution. Six different distribution models, namely normal, log-normal, gamma, beta, burr, and generalized extreme value (GEV) distributions, are considered to find out the speed distribution model. It is observed that burr and GEV distributions are found most suitable to model empirical speed distribution for mixed traffic environment. Whereas, the GEV distribution shows above 90% fit percentage to describe the speed distribution for each location and each vehicle type. Besides, the normal and log-normal distributions are found least appropriate. Therefore, novel ranking method is proposed as per the goodness of fit result obtained by the Kolmogorov–Smirnov (K–S) statistical test. It is found that the GEV is proven to be appropriate fitting distribution among the other selected distribution model to represent speed distribution for each vehicle type as well for any vehicle composition level. Thus, the present study provides new statistics of speed distribution model that would be beneficial for researchers and engineers to choose most suitable distribution model in modeling vehicular speed at signalized intersections.

Suggested Citation

  • Mondal, Satyajit & Gupta, Ankit, 2021. "Speed distribution for interrupted flow facility under mixed traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
  • Handle: RePEc:eee:phsmap:v:570:y:2021:i:c:s0378437121000704
    DOI: 10.1016/j.physa.2021.125798
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    References listed on IDEAS

    as
    1. Bali, Turan G., 2003. "The generalized extreme value distribution," Economics Letters, Elsevier, vol. 79(3), pages 423-427, June.
    2. Ou, Hui & Tang, Tie-Qiao & Zhang, Jian & Zhou, Jie-Ming, 2018. "A car-following model accounting for probability distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 105-113.
    3. Bosina, Ernst & Weidmann, Ulrich, 2017. "Estimating pedestrian speed using aggregated literature data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 1-29.
    4. Yang, Haifei & Zhai, Xue & Zheng, Changjiang, 2018. "Effects of variable speed limits on traffic operation characteristics and environmental impacts under car-following scenarios: Simulations in the framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 567-577.
    5. Fu, Zhijian & Luo, Lin & Yang, Yue & Zhuang, Yifan & Zhang, Peitong & Yang, Lizhong & Yang, Hongtai & Ma, Jian & Zhu, Kongjin & Li, Yanlai, 2016. "Effect of speed matching on fundamental diagram of pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 31-42.
    6. Ai, Wen-Huan & Shi, Zhong-Ke & Liu, Da-Wei, 2015. "Bifurcation analysis of a speed gradient continuum traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 418-429.
    7. Kosun, Caglar & Ozdemir, Serhan, 2016. "A superstatistical model of vehicular traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 466-475.
    8. Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-970, September.
    9. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    10. Xiao, Jianli & Wang, Zhonghao, 2018. "Traffic speed cloud maps: A new method for analyzing macroscopic traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 367-375.
    11. Tang, Tie-Qiao & Zhang, Jian & Liu, Kai, 2017. "A speed guidance model accounting for the driver’s bounded rationality at a signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 45-52.
    12. Steffen, B. & Seyfried, A., 2010. "Methods for measuring pedestrian density, flow, speed and direction with minimal scatter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1902-1910.
    13. Shi, Wenbin & Shang, Pengjian & Wang, Jing, 2015. "Large deviations estimates for the multiscale analysis of traffic speed time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 562-570.
    14. Tipakornkiat, Chalat & Limanond, Thirayoot & Kim, Hyunmyung, 2012. "Determining an influencing area affecting walking speed on footpath: A case study of a footpath in CBD Bangkok, Thailand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5453-5464.
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    1. Fang, Zhenyuan & Zhu, Shichao & Fu, Xin & Liu, Fang & Huang, Helai & Tang, Jinjun, 2022. "Multivariate analysis of traffic flow using copula-based model at an isolated road intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    2. Bari, Chintaman Santosh & Chandra, Satish & Dhamaniya, Ashish, 2022. "Service headway distribution analysis of FASTag lanes under mixed traffic conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).

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