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On the Fastest Route for Convoy-Type Traffic in Flowrate-Constrained Networks

Author

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  • Michael Hart Moore

    (Vector Research, Incorporated, Ann Arbor, Michigan)

Abstract

Flows of convoy-type traffic through networks whose arcs are characterized by both travel times and flowrate constraints are investigated. Suggested here, in particular, is the notion of a “flowrate-constrained fastest path”---a path by means of which the entirety of a volume of traffic, initially located at a source, node, can arrive at a sink in as short a time as possible when all traffic must flow along the same path and rates of flow along arcs are limited by flowrate constraints. Unlike the usual fastest path problems (those in networks without flowrate constraints), flowrate-constrained fastest times and paths both depend, in general, upon the initial volume of traffic at the source node. Several theorems about flowrate-constrained fastest times and paths are stated and proved; it is shown, for example, that such paths are independent of source volume whenever this volume is sufficiently large. Two algorithms for finding flowrate-constrained fastest times and paths are given.

Suggested Citation

  • Michael Hart Moore, 1976. "On the Fastest Route for Convoy-Type Traffic in Flowrate-Constrained Networks," Transportation Science, INFORMS, vol. 10(2), pages 113-124, May.
    • Handle: RePEc:inm:ortrsc:v:10:y:1976:i:2:p:113-124
    DOI: 10.1287/trsc.10.2.113
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    Cited by:

    1. Mehdi Ghiyasvand & Azam Ramezanipour, 2018. "Solving the MCQP, MLT, and MMLT problems and computing weakly and strongly stable quickest paths," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(2), pages 217-230, June.
    2. Ashutosh Sharma & Rajiv Kumar & Manar Wasif Abu Talib & Saurabh Srivastava & Razi Iqbal, 2019. "Network modelling and computation of quickest path for service-level agreements using bi-objective optimization," International Journal of Distributed Sensor Networks, , vol. 15(10), pages 15501477198, October.
    3. Calvete, Herminia I. & del-Pozo, Lourdes & Iranzo, José A., 2018. "Dealing with residual energy when transmitting data in energy-constrained capacitated networks," European Journal of Operational Research, Elsevier, vol. 269(2), pages 602-620.
    4. Majid Forghani-elahabad & Omar Mutab Alsalami, 2023. "Using a Node–Child Matrix to Address the Quickest Path Problem in Multistate Flow Networks under Transmission Cost Constraints," Mathematics, MDPI, vol. 11(24), pages 1-15, December.
    5. Marta Pascoal & M. Captivo & João Clímaco, 2006. "A comprehensive survey on the quickest path problem," Annals of Operations Research, Springer, vol. 147(1), pages 5-21, October.
    6. Sedeño-Noda, Antonio & González-Barrera, Jonathan D., 2014. "Fast and fine quickest path algorithm," European Journal of Operational Research, Elsevier, vol. 238(2), pages 596-606.
    7. Forghani-elahabad, Majid & Mahdavi-Amiri, Nezam, 2015. "An efficient algorithm for the multi-state two separate minimal paths reliability problem with budget constraint," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 472-481.
    8. Herminia Calvete & Lourdes del-Pozo & José Iranzo, 2012. "Algorithms for the quickest path problem and the reliable quickest path problem," Computational Management Science, Springer, vol. 9(2), pages 255-272, May.

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