There is something more fundamental than fundamental diagram

被引:0
作者
Ni, Daiheng [1 ]
机构
[1] Univ Massachusetts Amherst, Dept Civil & Environm Engn, 130 Nat Resources Rd, Amherst, MA 01003 USA
关键词
Fundamental diagram; Car following; Hamiltonian; Field theory; Phase diagram; TRAFFIC FLOW; VARIATIONAL FORMULATION; KINEMATIC WAVES; PHYSICS; MODELS; EQUATION;
D O I
10.1016/j.trb.2025.103206
中图分类号
F [经济];
学科分类号
02 ;
摘要
Revealing the inherent relationships among traffic flow characteristics, fundamental diagram has long been regarded as one of the pillars of traffic flow theory since Greenshields seminal work. When it is combined with the law of (mass/vehicle) conservation, dynamic modelling of traffic flow at the macroscopic level such as LWR and others have thrived. This paper shows that fundamental diagram is only a shadow of something more fundamental, i.e., phase diagram, which is originated from first principles of physics. At the microscopic level, traffic flow can be analyzed by examining the relative motion of two vehicles in car following. When the coordinate system is fixed on the leading vehicle, the Hamiltonian of this system can be defined as the total energy of the system. Conservation of total energy is established by incorporating physical entities (vehicles) and non-physical entities (drivers), the latter of which is enabled by the field theory of traffic flow. Consequently, the Hamilton's equations stipulate a vector field that constitutes the phase diagram of the system which, in turn, specifies Hamiltonian flow swirling around some equilibrium points. When focusing on the equilibrium points, the phase diagram reduces to the fundamental diagram, during which process much information is lost. Consequently, the lost information obscures the origin of the equilibrium points and further the fundamental diagram. This research roots traffic flow theory in first principles of physics and offers an example to address the dynamics of similar systems that involve human intelligence.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Empirical investigation of the emission-macroscopic fundamental diagram
    Barmpounakis, Emmanouil
    Montesinos-Ferrer, Marti
    Gonzales, Eric J.
    Geroliminis, Nikolas
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2021, 101
  • [42] Effect of speed matching on fundamental diagram of pedestrian flow
    Fu, Zhijian
    Luo, Lin
    Yang, Yue
    Zhuang, Yifan
    Zhang, Peitong
    Yang, Lizhong
    Yang, Hongtai
    Ma, Jian
    Zhu, Kongjin
    Li, Yanlai
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 458 : 31 - 42
  • [43] Fundamental ecology is fundamental
    Courchamp, Franck
    Dunne, Jennifer A.
    Le Maho, Yvon
    May, Robert M.
    Thebaud, Christophe
    Hochberg, Michael E.
    TRENDS IN ECOLOGY & EVOLUTION, 2015, 30 (01) : 9 - 16
  • [44] A call for more fundamental science in regional hydrogeology
    Barthel, Roland
    HYDROGEOLOGY JOURNAL, 2014, 22 (03) : 507 - 510
  • [45] Dependence patterns associated with the fundamental diagram: a copula function approach
    Jia Li
    Yue-ping Xu
    Journal of Zhejiang University-SCIENCE A, 2010, 11 : 18 - 24
  • [47] The Uncertainty of Drivers' Gap Selection and its Impact on the Fundamental Diagram
    Wu, Xinkai
    Liu, Henry X.
    20TH INTERNATIONAL SYMPOSIUM ON TRANSPORTATION AND TRAFFIC THEORY (ISTTT 2013), 2013, 80 : 901 - 921
  • [48] A Linearizing Transformation-Based Evaluation Approach of the Fundamental Diagram
    Liu, Jing
    Zheng, Fangfang
    Wei, Mian
    Bai, Linhan
    Jabari, Saif
    TRANSPORTATION RESEARCH RECORD, 2023, 2677 (11) : 521 - 532
  • [49] Motorway Traffic Emissions Estimation through Stochastic Fundamental Diagram
    Gemma, Andrea
    Giannattasio, Orlando
    Mannini, Livia
    SUSTAINABILITY, 2023, 15 (13)
  • [50] On fundamental diagram of stochastic cellular automata with a quadratic conserved quantity
    Endo, Kazushige
    Takahashi, Daisuke
    Matsukidaira, Junta
    IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2016, 7 (03): : 313 - 323