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Highway Alignment Optimization Using Cost-Benefit Analysis Under User Equilibrium

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  • Avijit Maji

    (Maryland State Highway Administration, USA)

  • Manoj K. Jha

    (Morgan State University, USA)

Abstract

Usually, selection of a highway alignment depends on an economical route that minimizes alignment sensitive costs, such as construction cost, user cost, right-of-way cost, and earthwork cost. Most of the available highway alignment optimization algorithms do not consider traffic assignment and distribution of traffic as a result of the new road network consisting of the new alignment as well as other pre-existing alignments. Constructing a new highway will ease the traffic in the existing road network. Based on Wardrop’s principle, the users will choose a route that will minimize their travel-time. Users will unilaterally shift to the available routes for their benefit and thus, traffic flow will attain equilibrium. Theoretically, the equilibrium of traffic flow between the existing highway and the newly designed highway alternative can be achieved by a user equilibrium model. A new methodology is developed in this paper to optimize a new three-dimensional highway alignment based on the existing highway alignment system information using a cost-benefit analysis approach. The results are quite promising for new road design and bypass construction since benefit maximization and cost minimization is performed simultaneously while attaining user equilibrium.

Suggested Citation

  • Avijit Maji & Manoj K. Jha, 2011. "Highway Alignment Optimization Using Cost-Benefit Analysis Under User Equilibrium," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 2(4), pages 19-33, October.
  • Handle: RePEc:igg:joris0:v:2:y:2011:i:4:p:19-33
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    Cited by:

    1. Hare, Warren & Lucet, Yves & Rahman, Faisal, 2015. "A mixed-integer linear programming model to optimize the vertical alignment considering blocks and side-slopes in road construction," European Journal of Operational Research, Elsevier, vol. 241(3), pages 631-641.

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