Investigating the Impact of Road Roughness on Routing Performance: An Evolutionary Algorithm Approach

  • Hulda ViljoenEmail author
  • Jacomine Grobler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10841)


This paper investigates the use of evolutionary and other meta-heuristic algorithms for routing problems where vehicle operating cost (VOC) and specifically, road roughness, has a significant impact. Three algorithms were implemented, namely a greedy heuristic, simulated annealing and CMA-ES. Simulated annealing delivered statistically significant results and was used to evaluate routes with and without VOC.



This work is based on the research supported wholly/in part by the National Research Foundation of South Africa (Grant Numbers 109273).


  1. 1.
    Steyn, W.J., Monismith, C.L., Nokes, W.A., Harvey, J.T., Holland, T.J., Burmas, N.: Challenges confronting road freight transport and the use of vehicle-pavement interaction analysis in addressing these challenges. J. South Afr. Inst. Civil Eng. 54(1), 14–21 (2012)Google Scholar
  2. 2.
    Wang, Z., Wang, H.: Life-cycle cost analysis of optimal timing of pavement preservation. Front. Struct. Civil Eng. 11(1), 17–26 (2016)CrossRefGoogle Scholar
  3. 3.
    Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Hansen, N., Ch, P.K.P.E.: Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). In: Evolutionary Computation. Citeseer (2003)Google Scholar
  5. 5.
    Miller, C.E., Tucker, A.W., Zemlin, R.A.: Integer programming formulation of traveling salesman problems. J. ACM 7(4), 326–329 (1960)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Chatti, K., Zaabar, I.: Estimating the effects of pavement condition on vehicle operating costs. NCHRP 720, Transportation Research Board, Washington, D.C. (2012)CrossRefGoogle Scholar
  7. 7.
    Kerali, H.R., Robinson, R., Paterson, W.D.O.: Role of the new HDM-4 in highway management. In: Proceedings Fourth International Conference on Managing Pavements, Durban, South Africa, pp. 17–21, May 1998Google Scholar
  8. 8.
    Zaabar, I., Chatti, K.: Identification of localized roughness features and their impact on vehicle durability. In: HVTT, vol. 11, pp. 1–13 (2010)Google Scholar
  9. 9.
    Steyn, W.J.vdM., Nokes, W., Du Plessis, L., Agacer, R., Burmas, N., Holland, T.J., Popescu, L.: Selected road condition, vehicle and freight considerations in pavement life cycle assessment. In: International Symposium on Pavement Life Cycle Assessment, Davis, CA, USA, 14–16 October 2014Google Scholar
  10. 10.
    Toro, O., Eliana, M., Escobar, Z., Antonio, H., Granada, E.: Literature review of vehicle routing problem in the green transportation context. Revista Luna Azul 42, 362–387 (2016)Google Scholar
  11. 11.
    Li, X., Leung, S.C.H., Tian, P.: A multistart adaptative memory based tabu search algorithm for the heterogeneous fixed fleet open vehicle routing problem. Experts Syst. Appl. 39, 365–374 (2012)CrossRefGoogle Scholar
  12. 12.
    Renaud, J., Laporte, G., Boctor, F.: A tabu search heuristic for the multi depot vehicle routing problem. COR 23, 229–235 (1996)zbMATHGoogle Scholar
  13. 13.
    Prins, C., Prodhon, C., Ruiz, A., Soriano, P., Wolfler, R.: Solving the CLRP by a coop. Lagrangean relaxation-granular heuristic. Transp. Sci. 41(4), 470–483 (2007)CrossRefGoogle Scholar
  14. 14.
    Lacomme, P., Prins, C., Ramdane-Chérif, W.: A genetic algorithm for the capacitated arc routing problem and its extensions. In: Boers, E.J.W. (ed.) EvoWorkshops 2001. LNCS, vol. 2037, pp. 473–483. Springer, Heidelberg (2001). Scholar
  15. 15.
    Jorgensen, M., Larsen, J.: Solving dial-a ride problem using genetic algorithm. JOR Soc. 58, 1321–1331 (2006)zbMATHGoogle Scholar
  16. 16.
    Donati, A., Montemanni, R., Casagrande, N., Rizzoli, A., Gambardella, L.: Time dependent VRP with a multi ant colony system. EJOR 185(3), 1174–1191 (2008)CrossRefGoogle Scholar
  17. 17.
    Yu, V.F., Redi, A.P., Hidayat, Y.A., Wibowo, O.J.: A simulated annealing heuristic for the hybrid vehicle routing problem. Appl. Soft Comput. 53, 119–132 (2017)CrossRefGoogle Scholar
  18. 18.
    Azi, N., Gendreau, M., Potvin, J.: An adaptive large neighborhood search for a vehicle routing problem with multiple trips. CIRRELT-2010-08 (2010)Google Scholar
  19. 19.
    Hemmelmayr, V., Doerner, K.: A variable neighboorhood search heuristic for periodical vehicle routing problems. EJOR 195(3), 791–802 (2009)CrossRefGoogle Scholar

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© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Industrial and Systems EngineeringUniversity of PretoriaPretoriaSouth Africa

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