• 1
    LeBlanc LJ, Abdulaal M. An efficient dual approach to the urban network design problem. Computer & Mathematics with Applications 1978; 5:1119.
  • 2
    Zhang G, Lu J. Genetic algorithm for continuous network design problem. Journal of transportation systems engineering and information technology 2007; 7:101105.
  • 3
    Gao Z, Wu J, Sun H. Solution algorithm for the bi-level discrete network design problem. Transportation Research B 2005; 39:479495.
  • 4
    Chaudhari PM, Dharaskar RV, Thakare VM. Computing the most significant solution from Pareto front obtained in multi-objective evolutionary algorithms. International Journal of Advanced Computer Science and Applications 2010; 1(4):6368.
  • 5
    Chiou S. Bilevel programming for the continuous transport network design problem. Transportation Research B 2005; 39:361383.
  • 6
    Possel B, Wismans LJJ, Van Berkum EC, Bliemer MCJ. The multi-objective network design problem using minimizing externalities as objectives: comparison of a genetic algorithm and simulated annealing framework. 2011. To be published.
  • 7
    Deb K. Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley and Sons: Chichester, UK, 2001.
  • 8
    Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 2002; 6(2):182197.
  • 9
    Wismans LJJ, Van Berkum EC, Bliemer MCJ. Modeling externalities using dynamic traffic assignment models: a review. Transportation Reviews: A transnational Transdisciplinary Journal, July 2011; 31(4):521545. DOI:10.1080/01441647.2010.544856.
  • 10
    LeBlanc LJ. An algorithm for the discrete network design problem. Transportation Science 1975; 9(3):183199.
  • 11
    Poorzahedy H, Turnquist MA. Approximate algorithms for the discrete network design problem. Transportation Research B 1982: 16B:4555.
  • 12
    Dantzig GB, Harvey RP, Lansdowne ZF, Robinson DW, Maier SF. Formulating and solving the network design problem by decomposition. Transport Research B 1978; 13B:517.
  • 13
    Friesz TL, Anandalingam G, Mehta NJ, Nam K, Shah SJ, Tobin RL. The multi-objective equilibrium network design problem revisited – A simulated annealing approach. European Journal of Operational Research 1993; 65:4457.
  • 14
    Meng Q, Yang H, Bell MGH. An equivalent continuously differentiable model and a locally convergent algorithm for the continuous network design problem. Transportation Research Part B 2001; 35:83105.
  • 15
    Xu T, Wei H, Wang Z. Study on continuous network design problem using simulated annealing and genetic algorithm. Expert Systems with Applications 2009; 36:27352741.
  • 16
    Cantarella GE, Pavone G, Vitetta A. Heuristics for urban road network design: lane layout and signal settings. European Journal of Operational Research 2006; 175:16821695.
  • 17
    Waller ST, Ziliaskopoulos AK. Stochastic dynamic network design problem. Transportation Research Record 1771, Paper no. 01-2517, 2001; 106113.
  • 18
    Chen A, Kim J, Lee S, Kim Y. Stochastic multi-objective models for network design problem. Expert Systems with Applications 2010; 37:16081619.
  • 19
    Ukkusuri SV, Patil G. Multi-period transportation network design under demand uncertainty. Transportation Research Part B. 2009. DOI:10.1016/j.trb.2009.01.004.
  • 20
    Brands T, van Berkum EC, van Amelsfort DH. Optimal toll design in dynamic traffic networks using a pattern search approximation algorithm. In proceedings of the 88th annual meeting of the Transportation Research Board, Washington D.C., USA, 2009.
  • 21
    Yang H, Bell MGH. Models and algorithms for road network design: a review and some new developments. Transport Reviews 1998; 18:257278.
  • 22
    Drezner Z, Wesolowsky GO. Network design: selection and design of links and facility location. Transportation Research Part A 2003; 37:241256.
  • 23
    Mathew TV, Sharma S. Continuous network design with emission pricing as a bi-level optimization problem. Proceedings of the Ninth International Conference on Applications of Advanced Technology in Transportation, Chicago, Illinois, USA, 2006.
  • 24
    Sharma S, Ukkusuri SV, Mathew T. A Pareto optimal multi-objective optimization for the robust transportation network design problem. In proceedings of the 88th Annual Meeting of the Transportation Research Board, Washington DC, USA, 2009.
  • 25
    Cantarella GE, Vitetta A. The multi-criteria road network design problem in an urban area. Transportation 2006; 33(6):567588.
  • 26
    Yin Y, Lawphongpanich S. Internalizing emission externality on road networks. Transportation Research Part D 2006; 11:292301.
  • 27
    Duthie J, Waller ST. Incorporating environmental justice measures into equilibrium-based network design. Transportation Research Record 2008; 2089:5865.
  • 28
    Santos B, Antunes A, Miller E. Multiobjective approach to long-term interurban multilevel road network planning. Journal of Transportation Engineering 2009; 135(9):640649.
  • 29
    Sumalee A, Shepherd SP, May AD. Road user charging design: dealing with multi-objectives and constraints. Transportation 2009; 36(2):167186.
  • 30
    Tzeng GH, Tsaur SH. Application of multiple criteria decision making for network improvement. Journal of Advanced Transportation 1997; 31(1):4974.
  • 31
    Raadsen MPH, Mein HE, Schilpzand MP, Brandt F. Implementation of a single dynamic traffic assignment model on mixed urban and highway transport networks including junction modeling. In proceedings third international symposium on dynamic traffic assignment, Takayama, Japan, 2010.
  • 32
    Wismans LJJ. Dynamic Traffic Management Measures to Optimize Externalities: Effects of Single Objective Optimization. Working document: Deventer, The Netherlands, 2009.
  • 33
    Jansen STMC. De Verkeersveiligheidsverkenner gebruikt in de regio. De rekenmethode en de aannamen daarin (In Dutch). Leidschendam. SWOV-rapport R-2005-6, Appendix 9, 2005.
  • 34
    INFRAS. Artemis: assessment and reliability of transport emission models and inventory systems. ROAD EMISSION MODEL – Model Description. Workpackage 1100. Deliverable No. 13, 2007.
  • 35
    RMV. Het Reken- en meetvoorschrift geluidhinder (In Dutch: transl. Standard calculation method noise), Staatscourant, 21 December 2006.
  • 36
    Triantaphyllou E, Mann SH. An examination of the effectiveness of multi dimensional decision making methods: a decision making paradox. Decision Support System 1989; 5:303312.
  • 37
    Triantaphyllou E, Shu B, Nieto Sanchez S, Ray T. Multi-criteria decision making: an operations research approach. Encyclopedia of Electrical and Electronics Engineering 1998; 15:175186.
  • 38
    Saaty TL. Decision making with the analytical hierarchy process. International Journal Services Sciences 2008; 1(1):8398.
  • 39
    Corne D, Knowles J. Techniques for highly multiobjective optimization: some nondominated points are better than others. Proceedings GECCO'07, July 7-11, 2007, London, United Kingdom, 2007.
  • 40
    Buchanan J, Sheppard P, Vanderpooten D. Project ranking using ELECTRE III. Working paper, 1999.
  • 41
    Roy B, Present M, Silhol D. A programming method for determining which Paris metro station should be renovated. European Journal of Operational Research 1986; 24:318334.
  • 42
    Roy B. The outranking approach and the foundations of ELECTRE methods. Theory and decision 1991; 31(1):4973.
  • 43
    Maibach H, Schreyer D, Sutter D, et al. Produced within the study internalisation measures and policies for all external cost of transport (IMPACT). Handbook on Estimation of External Costs in the Transport Sector. Delft, The Netherlands, 2008.
  • 44
    Sleesongsom S. Multiobjective optimization with even Pareto filter. Fourth International Conference on Natural Computation, IEEE, 2008.
  • 45
    Taboada H, Baheranwala F, Coit DW, Wattanapongsakorn N. Practical solutions for multi-objective optimization: an application to system reliability design problems. Reliability Engineering and System Safety 2007; 92:314322.
  • 46
    Wismans LJJ, Van Berkum EC, Bliemer MCJ. Optimization of externalities using DTM measures: a Pareto optimal multi objective optimization using the evolutionary algorithm SPEA2+. 11th TRAIL Congress. Rotterdam, The Netherlands, 2010.
  • 47
    Mattson C, Mullur A, Messac A. Smart Pareto filter: obtaining a minimal representation of multiobjective design space. Engineering Optimization 2004; 36:721740.
  • 48
    Brands T, Wismans LJJ, van Berkum EC. Application of pruning techniques on a Pareto front from a practical multi-objective optimization problem in traffic engineering. Submitted for ORP3 conference, Cadiz, Spain, 2011.
  • 49
    Russo F, Vittetta A. A topological method in choosing optimal solutions after solving the multi-criteria urban road network design problem. Transportation 2006; 33:347370.
  • 50
    Handl J, Knowles J. An evolutionary approach to multiobjective clustering. IEEE Transactions on Evolutionary Computation 2007; 11(1):5676.
  • 51
    Wismans LJJ, van Berkum EC, Bliemer MCJ. Optimization of externalities as objectives for dynamic traffic management, choices necessary. In proceedings DTM-conference (DVM-congres 2011), Rotterdam, The Netherlands, 2011.
  • 52
    Iniestra JG, Gutierez JG. Multicriteria decisions on interdependent infrastructure transportation projects using an evolutionary-based framework. Applied Soft Computing 2009; 9(2):512526. doi:10.1016/j.asoc.2008.07.006.
  • 53
    Grassini L, Vivianie A. A multicriteria decision method to evaluate local transport service. In proceedings ASMDA, Brest, France, May 17-20, 2005.
  • 54
    Jaroenkhasemmeesuk C, Marpaung COP, Shrestha RM. Multi-criteria decision analysis for the selection of alternative options towards environmentally sustainable transport system in Bangkok, Thailand. In proceedings PEA-AIT international Conference on Energy and Sustainable Development: Issues and Strategies (ESD 2010) The Empress Hotel, Chiang Mai, Thailand. 2-4 June 2010.
  • 55
    Macharis C, Ampe J. The use of multi-criteria decision analysis for the evaluation of transport projects: a review. Euro XXII Prague, Book of abstracts, July 8-11, 2007 conference, Prague, 2007.