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Queues in transportation systems, II: An independently-dispatched system

Published online by Cambridge University Press:  14 July 2016

Michael A. Crane*
Affiliation:
Control Analysis Corporation, Palo Alto, California

Abstract

We consider a transportation system consisting of a linear network of N + 1 terminals served by S vehicles of fixed capacity. Customers arrive stochastically at terminal i, 1 ≦ iN, seeking transportation to some terminal j, 0 ≦ ji − 1, and are served as empty units of vehicle capacity become available at i. The vehicle fleet is partitioned into N service groups, with vehicles in the ith group stopping at terminals i, i − 1,···,0. Travel times between terminals and idle times at terminals are stochastic and are independent of the customer arrival processes. Functional central limit theorems are proved for random functions induced by processes of interest, including customer queue size processes. The results are of most interest in cases where the system is unstable. This occurs whenever, at some terminal, the rate of customer arrivals is at least as great as the rate at which vehicle capacity is made available.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1974 

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References

[1] Bailey, N. (1954) On queueing processes with bulk service J. R. Statist. Soc. B 16, 8087.Google Scholar
[2] Billingsley, P. (1968) Convergence of Probability Measures. John Wiley, New York.Google Scholar
[3] Crane, M. (1971) Limit theorems for queues in transportation systems. Technical Report No. 16, Department of Operations Research, Stanford University, California, (Ph. D. dissertation).Google Scholar
[4] Crane, M. (1973) Queues in transportation systems, I: a Markovian system. J. Appl. Prob. 10, 630643.Google Scholar
[5] Iglehart, D. (1968) Weak convergence of probability measures on product spaces with applications to sums of random vectors. Technical Report No. 109, Department of Operations Research, Stanford University, California.Google Scholar
[6] Iglehart, D. and Whitt, W. (1970a) Multiple channel queues in heavy traffic, I. Adv. Appl. Prob. 2, 150177.CrossRefGoogle Scholar
[7] Iglehart, D. and Whitt, W. (1970b) Multiple channel queues in heavy traffic, II: sequences, networks, and batches. Adv. Appl. Prob. 2, 355369.CrossRefGoogle Scholar
[8] Whitt, W. (1968) Weak convergence theorems for queues in heavy traffic. Technical Report No. 2, Department of Operations Research, Stanford University, California, (Ph. D. Dissertation, Cornell University).Google Scholar