On the analytical approximation of joint aggregate queue-length distributions for traffic networks: A stationary finite capacity Markovian network approach

Carolina Osorio and Carter Wang

Transportation Research Part B: Methodological, 2017, vol. 95, issue C, 305-339

Abstract: This paper is motivated by recent results in the design of signal plans for Manhattan that highlight the importance of providing signal control algorithms with an analytical description of between-link dependencies. This is particularly important for congested networks prone to the occurrence of spillbacks. This paper formulates a probabilistic network model that proposes an aggregate description of the queue-length, and then approximates the joint aggregate queue-length distribution of subnetworks. The goal is to model between-queue dependencies beyond first-order moments, yet to do so in a tractable manner such that these techniques can be used for optimization purposes.

Date: 2017
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Citations: View citations in EconPapers (13)

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DOI: 10.1016/j.trb.2016.07.013

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