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Sustainable Highway Maintenance: Optimization of Existing Highway Vertical Alignment Considering Pavement Condition

Author

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  • Mohammad Mahanpoor

    (Department of Civil Engineering, K.N.Toosi University of Technology, Tehran 19498, Iran)

  • Saeed Monajjem

    (Department of Civil Engineering, K.N.Toosi University of Technology, Tehran 19498, Iran)

  • Vahid Balali

    (Department of Civil Engineering and Construction Engineering Management, California State University, Long Beach, CA 90840, USA)

Abstract

Any change in the geometric configuration of the existing road affects other dependent elements such as travel time, fuel consumption, and existing pavement. This paper quantifies these effects and finds an optimum geometric configuration. Three separate models are developed in this research: (1) the travel time model which predicts vehicles flow speed on the specified geometric condition, traffic composure, and evaluates the imposed costs to the road users; (2) the fuel consumption model, which estimates needed propulsive force and anticipated fuel for vehicles passing through the road; and (3) the pavement rehabilitation cost model considering two main constraints of existing pavement condition and project line elevation. The developed pavement rehabilitation model proposes the best solution for pavement rehabilitation practice and computes associated costs. Particle Swarm Optimization (PSO) is used to find the optimum solution in a minimization problem search space. The proposed model is applied to a real-world case study. Results show that there is an extremely less tendency for change, even with the existence of adverse geometric conditions, when there is a relatively good pavement condition. In the case of deteriorated pavement conditions, economic justification for geometric modification is required.

Suggested Citation

  • Mohammad Mahanpoor & Saeed Monajjem & Vahid Balali, 2019. "Sustainable Highway Maintenance: Optimization of Existing Highway Vertical Alignment Considering Pavement Condition," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1659-:d:215333
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    References listed on IDEAS

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    1. Hare, Warren L. & Koch, Valentin R. & Lucet, Yves, 2011. "Models and algorithms to improve earthwork operations in road design using mixed integer linear programming," European Journal of Operational Research, Elsevier, vol. 215(2), pages 470-480, December.
    2. Jha, Manoj K. & Schonfeld, Paul, 2004. "A highway alignment optimization model using geographic information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 455-481, July.
    3. 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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    Cited by:

    1. Bawan Mahmood & Jalil Kianfar, 2019. "Driver Behavior Models for Heavy Vehicles and Passenger Cars at a Work Zone," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    2. Vahid Balali & Soheil Fathi & Mehrdad Aliasgari, 2020. "Vector Maps Mobile Application for Sustainable Eco-Driving Transportation Route Selection," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    3. Hao Pu & Jia Xie & Paul Schonfeld & Taoran Song & Wei Li & Jie Wang & Jianping Hu, 2021. "Railway Alignment Optimization in Mountainous Regions Considering Spatial Geological Hazards: A Sustainable Safety Perspective," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    4. Khattak, Afaq & Hussain, Arshad, 2021. "Hybrid DES-PSO framework for the design of commuters’ circulation space at multimodal transport interchange," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 180(C), pages 205-229.

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