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On the fundamental diagram and driving behavior modeling of heterogeneous traffic flow using UAV-based data

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  • Ahmed, Afzal
  • Ngoduy, Dong
  • Adnan, Muhammad
  • Baig, Mirza Asad Ullah

Abstract

A significant difference in the behavior of heterogeneous and undisciplined traffic streams is observed when compared with the conventional traffic flow. Most of the existing traffic flow models are developed considering the traffic stream with strict lane discipline. Several studies from South Asian countries have reported high heterogeneity in the traffic stream with weak or no lane discipline.

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  • Ahmed, Afzal & Ngoduy, Dong & Adnan, Muhammad & Baig, Mirza Asad Ullah, 2021. "On the fundamental diagram and driving behavior modeling of heterogeneous traffic flow using UAV-based data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 100-115.
    • Handle: RePEc:eee:transa:v:148:y:2021:i:c:p:100-115
    DOI: 10.1016/j.tra.2021.03.001
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    References listed on IDEAS

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    Cited by:

    1. Storm, Pieter Jacob & Mandjes, Michel & van Arem, Bart, 2022. "Efficient evaluation of stochastic traffic flow models using Gaussian process approximation," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 126-144.
    2. Ngoduy, D., 2021. "Noise-induced instability of a class of stochastic higher order continuum traffic models," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 260-278.
    3. Hou, Lin & Pei, Yulong & He, Qingling, 2023. "A car following model in the context of heterogeneous traffic flow involving multilane following behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    4. Espadaler-Clapés, Jasso & Barmpounakis, Emmanouil & Geroliminis, Nikolas, 2023. "Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    5. Mohammadian, Saeed & Zheng, Zuduo & Haque, Mazharul & Bhaskar, Ashish, 2023. "NET-RAT: Non-equilibrium traffic model based on risk allostasis theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    6. Cheng, Qixiu & Lin, Yuqian & Zhou, Xuesong (Simon) & Liu, Zhiyuan, 2024. "Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parameters," European Journal of Operational Research, Elsevier, vol. 312(1), pages 182-197.

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