TY - JOUR
T1 - Roundabout model with on-ramp queues: Exact results and scaling approximations
AU - Storm, P. J.
AU - Bhulai, S.
AU - Kager, W.
AU - Mandjes, M.
PY - 2020/1
Y1 - 2020/1
N2 - This paper introduces a general model of a single-lane roundabout, represented as a circular lattice that consists of L cells, with Markovian traffic dynamics. Vehicles enter the roundabout via on-ramp queues that have stochastic arrival processes, remain on the roundabout a random number of cells, and depart via off-ramps. Importantly, the model does not oversimplify the dynamics of traffic on roundabouts, while various performance-related quantities (such as delay and queue length) allow an analytical characterization. In particular, we present an explicit expression for the marginal stationary distribution of each cell on the lattice. Moreover, we derive results that give insight on the dependencies between parts of the roundabout, and on the queue distribution. Finally, we find scaling limits that allow, for every partition of the roundabout in segments, to approximate (i) the joint distribution of the occupation of these segments by a multivariate Gaussian distribution, and (ii) the joint distribution of their total queue lengths by a collection of independent Poisson random variables. To verify the scaling limit statements, we develop a way to empirically assess convergence in distribution of random variables.
AB - This paper introduces a general model of a single-lane roundabout, represented as a circular lattice that consists of L cells, with Markovian traffic dynamics. Vehicles enter the roundabout via on-ramp queues that have stochastic arrival processes, remain on the roundabout a random number of cells, and depart via off-ramps. Importantly, the model does not oversimplify the dynamics of traffic on roundabouts, while various performance-related quantities (such as delay and queue length) allow an analytical characterization. In particular, we present an explicit expression for the marginal stationary distribution of each cell on the lattice. Moreover, we derive results that give insight on the dependencies between parts of the roundabout, and on the queue distribution. Finally, we find scaling limits that allow, for every partition of the roundabout in segments, to approximate (i) the joint distribution of the occupation of these segments by a multivariate Gaussian distribution, and (ii) the joint distribution of their total queue lengths by a collection of independent Poisson random variables. To verify the scaling limit statements, we develop a way to empirically assess convergence in distribution of random variables.
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U2 - 10.1103/PhysRevE.101.012311
DO - 10.1103/PhysRevE.101.012311
M3 - Article
AN - SCOPUS:85078863370
SN - 2470-0045
VL - 101
SP - 1
EP - 13
JO - Physical Review E
JF - Physical Review E
IS - 1
M1 - 012311
ER -