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Globally optimal departure rates for several groups of drivers

  • Received: 01 January 2019 Accepted: 18 April 2019 Published: 30 July 2019
  • The first part of this paper contains a brief introduction to conservation law models of traffic flow on a network of roads. Globally optimal solutions and Nash equilibrium solutions are reviewed, with several groups of drivers sharing different cost functions. In the second part we consider a globally optimal set of departure rates, for different groups of drivers but on a single road. Necessary conditions are proved, which lead to a practical algorithm for computing the optimal solution.

    Citation: Alberto Bressan, Yucong Huang. Globally optimal departure rates for several groups of drivers[J]. Mathematics in Engineering, 2019, 1(3): 583-613. doi: 10.3934/mine.2019.3.583

    Related Papers:

  • The first part of this paper contains a brief introduction to conservation law models of traffic flow on a network of roads. Globally optimal solutions and Nash equilibrium solutions are reviewed, with several groups of drivers sharing different cost functions. In the second part we consider a globally optimal set of departure rates, for different groups of drivers but on a single road. Necessary conditions are proved, which lead to a practical algorithm for computing the optimal solution.


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    [1] Bellomo N, Delitala M, Coscia V (2002) On the mathematical theory of vehicular traffic flow I: Fluid dynamic and kinetic modeling. Math Models Methods Appl Sci 12: 1801–1843. doi: 10.1142/S0218202502002343
    [2] Bellomo N, Dogbe C (2011) On the modeling of traffic and crowds: A survey of models, speculations, and perspectives. SIAM Rev 53: 409–463. doi: 10.1137/090746677
    [3] Bressan A (2000) Hyperbolic Systems of Conservation Laws: The One Dimensional Cauchy Problem. Oxford University Press.
    [4] Bressan A, Canic S, Garavello M, et al. (2014) Flow on networks: Recent results and perspectives. EMS Surv Math Sci 1: 47–111. doi: 10.4171/EMSS/2
    [5] Bressan A, Han K (2011) Optima and equilibria for a model of traffic flow. SIAM J Math Anal 43: 2384–2417. doi: 10.1137/110825145
    [6] Bressan A, Han K (2012) Nash equilibria for a model of traffic flow with several groups of drivers. ESAIM Control Optim Calc Var 18: 969–986. doi: 10.1051/cocv/2011198
    [7] Bressan A, Liu CJ, Shen W, et al. (2012) Variational analysis of Nash equilibria for a model of traffic flow. Quarterly Appl Math 70: 495–515. doi: 10.1090/S0033-569X-2012-01304-9
    [8] Bressan A, Marson A (1995) A variational calculus for discontinuous solutions of conservative systems. Commun Part Diff Eq 20: 1491–1552. doi: 10.1080/03605309508821142
    [9] Bressan A, Marson A (1995) A maximum principle for optimally controlled systems of conservation laws. Rend Sem Mat Univ Padova 94: 79–94.
    [10] Bressan A, Nguyen K (2015) Conservation law models for traffic flow on a network of roads. Netw Heter Media 10: 255–293. doi: 10.3934/nhm.2015.10.255
    [11] Bressan A, Nguyen K (2015) Optima and equilibria for traffic flow on networks with backward propagating queues. Netw Heter Media 10: 717–748. doi: 10.3934/nhm.2015.10.717
    [12] Bressan A, Nordli A (2017) The Riemann Solver for traffic flow at an intersection with buffer of vanishing size. Netw Heter Media 12: 173–189. doi: 10.3934/nhm.2017007
    [13] Bressan A, Shen W (2007) Optimality conditions for solutions to hyperbolic balance laws, In: Ancona, F., Lasieka, I., Littman, W., et al. Editors. Control Methods in PDE - Dynamical Systems, AMS Contemporary Mathematics 426: 129–152. doi: 10.1090/conm/426/08187
    [14] Bressan A, Yu F (2015) Continuous Riemann solvers for traffic flow at a junction. Discr Cont Dyn Syst 35: 4149–4171. doi: 10.3934/dcds.2015.35.4149
    [15] Chitour Y, Piccoli B (2005) Traffic circles and timing of traffic lights for cars flow. Discrete Contin Dyn Syst B 5: 599–630. doi: 10.3934/dcdsb.2005.5.599
    [16] Coclite GM, Garavello M, Piccoli B (2005) Traffic flow on a road network. SIAM J Math Anal 36: 1862–1886. doi: 10.1137/S0036141004402683
    [17] Dafermos C (1972) Polygonal approximations of solutions of the initial value problem for a conservation law. J Math Anal Appl 38: 33–41. doi: 10.1016/0022-247X(72)90114-X
    [18] Daganzo C (1997) Fundamentals of Transportation and Traffic Operations. Oxford, UK: Pergamon-Elsevier.
    [19] Evans LC (2010) Partial Differential Equations. 2 Eds., Providence, RI: American Mathematical Society.
    [20] Garavello M, Han K, Piccoli B (2016) Models for Vehicular Traffic on Networks. Missouri: AIMS Series on Applied Mathematics, Springfield.
    [21] Garavello M, Piccoli B (2006) Traffic Flow on Networks. Conservation Laws Models. Missouri: AIMS Series on Applied Mathematics, Springfield.
    [22] Garavello M, Piccoli B (2009) Traffic flow on complex networks. Ann Inst H Poincaré Anal Nonlinear 26: 1925–1951. doi: 10.1016/j.anihpc.2009.04.001
    [23] Herty M, Moutari S, Rascle M (2006) Optimization criteria for modeling intersections of vehicular traffic flow. Netw Heterog Media 1: 275–294. doi: 10.3934/nhm.2006.1.275
    [24] Holden H, Risebro NH (1995) A mathematical model of traffic flow on a network of unidirectional roads. SIAM J Math Anal 26: 999–1017. doi: 10.1137/S0036141093243289
    [25] Lax PD (1957) Hyperbolic systems of conservation laws. Comm Pure Appl Math 10: 537–556. doi: 10.1002/cpa.3160100406
    [26] Lighthill M, Whitham G (1955) On kinematic waves. II. A theory of traffic flow on long crowded roads. P Roy Soc A Math Phys Eng Sci 229: 317–345.
    [27] Pfaff S, Ulbrich S (2015) Optimal boundary control of nonlinear hyperbolic conservation laws with switched boundary data. SIAM J Control Optim 53: 1250–1277. doi: 10.1137/140995799
    [28] Richards PI (1956) Shock waves on the highway. Oper Res 4: 42–51. doi: 10.1287/opre.4.1.42
    [29] Smoller J (1994) Shock Waves and Reaction-Diffusion Equations. 2 Eds., New York: Springer-Verlag.
    [30] Ulbrich S (2002) A sensitivity and adjoint calculus for discontinuous solutions of hyperbolic conservation laws with source terms. SIAM J Control Optim 41: 740–797. doi: 10.1137/S0363012900370764
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