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The multi-criteria road network design problem in an urban area

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  • Giulio Cantarella

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  • Antonino Vitetta

    ()

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    Abstract

    In this paper, urban network design is analysed through a heuristic multi-criteria technique based on genetic algorithms. Both network layout and link capacity (link layout and traffic lights) are optimised. Different optimisation criteria are included for users, non-users and public system managers. Demand is considered elastic with respect to mode choice; both morning and afternoon peak periods are taken into account. In addition, choice of parking location is simulated. The procedure is applied to a test and to a real transportation system. Copyright Springer Science+Business Media B.V. 2006

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    File URL: http://hdl.handle.net/10.1007/s11116-006-7908-z
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    Bibliographic Info

    Article provided by Springer in its journal Transportation.

    Volume (Year): 33 (2006)
    Issue (Month): 6 (November)
    Pages: 567-588

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    Handle: RePEc:kap:transp:v:33:y:2006:i:6:p:567-588

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    Web page: http://www.springerlink.com/link.asp?id=103007

    Related research

    Keywords: Network Design; Assignment; Multi-objective analysis;

    References

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    1. Meneguzzer, Claudio, 1995. "An equilibrium route choice model with explicit treatment of the effect of intersections," Transportation Research Part B: Methodological, Elsevier, vol. 29(5), pages 329-356, October.
    2. Meng, Q. & Yang, H. & Bell, M. G. H., 2001. "An equivalent continuously differentiable model and a locally convergent algorithm for the continuous network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 35(1), pages 83-105, January.
    3. Friesz, Terry L. & Shah, Samir, 2001. "An overview of nontraditional formulations of static and dynamic equilibrium network design," Transportation Research Part B: Methodological, Elsevier, vol. 35(1), pages 5-21, January.
    4. Ben-Ayed, Omar & Boyce, David E. & Blair, Charles E., 1988. "A general bilevel linear programming formulation of the network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 22(4), pages 311-318, August.
    5. Foulds, L. R., 1981. "A multi-commodity flow network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 15(4), pages 273-283, August.
    6. Poorzahedy, Hossain & Turnquist, Mark A., 1982. "Approximate algorithms for the discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 16(1), pages 45-55, February.
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    Cited by:
    1. Wang, Shuaian & Meng, Qiang & Yang, Hai, 2013. "Global optimization methods for the discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 42-60.
    2. Shrestha, Jagat K. & Benta, Agostinho & Lopes, Rui B. & Lopes, Nuno, 2014. "A multi-objective analysis of a rural road network problem in the hilly regions of Nepal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 43-53.
    3. Karimi Dehnavi, Hadi & Rezvan, Mohammad Taghi & Shirmohammadli, Abdolmatin & Vallée, Dirk, 2013. "A solution for urban road selection and construction problem using simulation and goal programming—Case study of the city of Isfahan," Transport Policy, Elsevier, vol. 29(C), pages 46-53.
    4. Luathep, Paramet & Sumalee, Agachai & Lam, William H.K. & Li, Zhi-Chun & Lo, Hong K., 2011. "Global optimization method for mixed transportation network design problem: A mixed-integer linear programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 808-827, June.
    5. Agachai Sumalee & Simon Shepherd & Anthony May, 2009. "Road user charging design: dealing with multi-objectives and constraints," Transportation, Springer, vol. 36(2), pages 167-186, March.
    6. Farahani, Reza Zanjirani & Miandoabchi, Elnaz & Szeto, W.Y. & Rashidi, Hannaneh, 2013. "A review of urban transportation network design problems," European Journal of Operational Research, Elsevier, vol. 229(2), pages 281-302.

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