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Advances in Dynamic Network Modeling in Complex Transportation Systems pp 265–285Cite as

An Approach to Assess the Impact of Dynamic Congestion in Vehicle Routing Problems

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Part of the book series: Complex Networks and Dynamic Systems ((CNDS,volume 2))

Abstract

This research proposes an integrated framework of capacitated vehicle routing problems (CVRP) and traffic flow model (cell transmission model in this research) to assess the effect of time-varying congestion. We develop a framework consisting sequence of mixed integer programs solving the CVRP with updated cost obtained from the traffic flow model. A real-world network with 15 cities and towns is tested with the framework and results show significant travel time reduction from the case where time-varying congestion is not considered. In addition, we consider system optimal type of route choice behavior within the traffic flow model.

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Authors and Affiliations

  1. School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN, 47907, USA

    H. M. Abdul Aziz & Satish V. Ukkusuri

Authors
  1. H. M. Abdul Aziz
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  2. Satish V. Ukkusuri
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Correspondence to Satish V. Ukkusuri .

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Editors and Affiliations

  1. , School of Civil Engineering, Purdue University, Stadium Mall Drive 550, West Lafayette, 47907, USA

    Satish V. Ukkusuri

  2. , Department of Civil & Environmental Engi, Rutgers University, Browser Road 623, Piscataway, 08854, New Jersey, USA

    Kaan Ozbay

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Aziz, H.M.A., Ukkusuri, S.V. (2013). An Approach to Assess the Impact of Dynamic Congestion in Vehicle Routing Problems. In: Ukkusuri, S., Ozbay, K. (eds) Advances in Dynamic Network Modeling in Complex Transportation Systems. Complex Networks and Dynamic Systems, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6243-9_11

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