84
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The bike routeing problem with energy constraints

, , , &
Article: 2310626 | Received 17 Aug 2022, Accepted 16 Jan 2024, Published online: 05 Feb 2024

References

  • Allen, J., Browne, M., & Holguin-Veras, J. (2010). Sustainability strategies for city logistics. In A. McKinnon, S. Cullinane, M. Browne, & A. Whiteing (Eds.), Green logistics: Improving the environmental sustainability of logistics (pp. 282–305). Kogan Page.
  • Arango Serna, M. D., Adarme Jaimes, W., & Zapata Cortes, J. A. (2010). Commodities distribution using alternative types of transport. A Study in the Colombian Bread SMEs Dyna, 77(163), 222–233.
  • Asamer, J., Graser, A., Heilmann, B., & Ruthmair, M. (2016). Sensitivity analysis for energy demand estimation of electric vehicles. Transportation Research Part D: Transport and Environment, 46, 182–199. https://doi.org/10.1016/j.trd.2016.03.017
  • Barth, M., & Boriboonsomsin, K. (2009). Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transportation Research Part D: Transport and Environment, 14(6), 400–410. https://doi.org/10.1016/j.trd.2009.01.004
  • Bektas, T., & Laporte, G. (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45(8), 1232–1250. https://doi.org/10.1016/j.trb.2011.02.004
  • Caggiani, L., Colovic, A., Prencipe, L. P., & Ottomanelli, M. (2021). A green logistics solution for last-mile deliveries considering e-vans and e-cargo bikes. Transportation Research Procedia, 52, 75–82. https://doi.org/10.1016/j.trpro.2021.01.010
  • Chemla, D., Meunier, F., & Wolfler Calvo, R. (2013). Bike sharing systems: Solving the static rebalancing problem. Discrete Optimization, 10(2), 120–146. https://doi.org/10.1016/j.disopt.2012.11.005
  • Ćirović, G., Pamučar, D., & Božanić, D. (2014). Green logistic vehicle routing problem: Routing light delivery vehicles in urban areas using a neuro-fuzzy model. Expert Systems with Applications, 41(9), 4245–4258. https://doi.org/10.1016/j.eswa.2014.01.005
  • Clarke, G., & Wright, J. W. (1964). Scheduling of vehicles from a central depot to a number of delivery points. Operations Research, 12(4), 568–581. https://doi.org/10.1287/opre.12.4.568
  • Delfani, F., Kazemi, A., SeyedHosseini, S. M., & Niaki, S. T. A. (2021). A novel robust possibilistic programming approach for the hazardous waste location-routing problem considering the risks of transportation and population. International Journal of Systems Science: Operations & Logistics, 8(4), 383–395.
  • Dell'Amico, M., Hadjicostantinou, E., Iori, M., & Novellani, S. (2014). The bike sharing rebalancing problem: Mathematical formulations and benchmark instances. Omega, 45, 7–19. https://doi.org/10.1016/j.omega.2013.12.001
  • di Prampero, P. E., Cortili, G., Mognoni, P., & Saibene, F. (1979). Equation of motion of a cyclist. Journal of Applied Physiology, 47(1), 201–206. https://doi.org/10.1152/jappl.1979.47.1.201
  • Ehrgott, M., Wang, J. Y., Raith, A., & Van Houtte, C. (2012). A bi-objective cyclist route choice model. Transportation Research Part A: Policy and Practice, 46(4), 652–663.
  • Elbert, R., & Friedrich, C. (2020). Urban consolidation and cargo bikes: A simulation study. Transportation Research Procedia, 48, 439–451. https://doi.org/10.1016/j.trpro.2020.08.051
  • Erdoğan, S., & Miller-Hooks, E. (2012). A green vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 100–114. https://doi.org/10.1016/j.tre.2011.08.001
  • Fontana, M. W. (2013). Optimal routes for electric vehicles facing uncertainty, congestion, and energy constraints [Unpublished doctoral dissertation]. Massachusetts Institute of Technology.
  • Ghiani, G., Manni, E., Quaranta, A., & Triki, C. (2009). Anticipatory algorithms for same-day courier dispatching. Transportation Research Part E: Logistics and Transportation Review, 45(1), 96–106. https://doi.org/10.1016/j.tre.2008.08.003
  • Goodarzian, F., Shishebori, D., Bahrami, F., Abraham, A., & Appolloni, A. (2023). Hybrid meta-heuristic algorithms for optimising a sustainable agricultural supply chain network considering CO2 emissions and water consumption. International Journal of Systems Science: Operations & Logistics, 10(1). https://doi.org/10.1080/23302674.2021.2009932
  • Grappe, F., Candau, R., Belli, A., & Rouillon, J. D. (1997). Aerodynamic drag in field cycling with special reference to the Obree's position. Ergonomics, 40(12), 1299–1311. https://doi.org/10.1080/001401397187388
  • Hà, M. H., Bostel, N., Langevin, A., & Rousseau, L. (2013). An exact algorithm and a metaheuristic for the multi-vehicle covering tour problem with a constraint on the number of vertices. European Journal of Operational Research, 226(2), 211–220. https://doi.org/10.1016/j.ejor.2012.11.012
  • Hà, M. H., Bostel, N., Langevin, A., & Rousseau, L. (2014). An exact algorithm and a metaheuristic for the generalized vehicle routing problem with flexible fleet size. Computers & Operations Rearch, 43, 9–19. https://doi.org/10.1016/j.cor.2013.08.017
  • Hrncír, J., Zilecky, P., Song, Q., & Jakob, M. (2015). Speedups for multi-criteria Urban bicycle routing. In G. F. Italiano & M. Schmidt (Eds.), 15th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2015, September 17, 2015, Patras, Greece (vol. 48, pp. 16–28). Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
  • Irnich, S., Funke, B., & Grünert, T. (2006). Sequential search and its application to vehicle-routing problems. Computers & Operations Research, 33(8), 2405–2429. https://doi.org/10.1016/j.cor.2005.02.020
  • Kara, I., Kara, B. Y., & Yetis, M. K. (2007). Energy minimizing vehicle routing problem. In A. Dress, Y. Xu, & B. Zhu (Eds.), International Conference on Combinatorial Optimization and Applications (pp. 62–71). Springer.
  • Karagul, K., Sahin, Y., Aydemir, E., & Oral, A. (2019). A simulated annealing algorithm based solution method for a green vehicle routing problem with fuel consumption. In Lean and green supply chain management (pp. 161–187). Springer.
  • Koning, M., & Conway, A. (2016). The good impacts of biking for goods: Lessons from Paris city. Case Studies on Transport Policy, 4(4), 259–268. https://doi.org/10.1016/j.cstp.2016.08.007
  • Kool, W., Juninck, J. O., Roos, E., Cornelissen, K., Agterberg, P., van Hoorn, J., & Visser, T. (2022). Hybrid genetic search for the vehicle routing problem with time windows: A high-performance implementation. In 12th Dimacs Implementation Challenge Workshop.
  • Lee, K., Chae, J., & Kim, J. (2019). A courier service with electric bicycles in an Urban area: The case in seoul. Sustainability, 11(5), 1255. https://doi.org/10.3390/su11051255
  • Leggieri, V., & Haouari, M. (2017). A practical solution approach for the green vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 104, 97–112. https://doi.org/10.1016/j.tre.2017.06.003
  • Li, Y., & Liu, Y. (2021). The static bike rebalancing problem with optimal user incentives. Transportation Research Part E: Logistics and Transportation Review, 146. https://doi.org/10.1016/j.tre.2020.102216
  • Lin, C., Choy, K. L., Ho, G. T., Chung, S. H., & Lam, H. (2014). Survey of green vehicle routing problem: Past and future trends. Expert Systems with Applications, 41(4), 1118–1138. https://doi.org/10.1016/j.eswa.2013.07.107
  • Maes, J., & Vanelslander, T. (2012). The use of bicycle messengers in the logistics chain, concepts further revised. Procedia-Social and Behavioral Sciences, 39, 409–423. https://doi.org/10.1016/j.sbspro.2012.03.118
  • Martin, J. C., Milliken, D. L., Cobb, J. E., McFadden, K. L., & Coggan, A. R. (1998). Validation of a mathematical model for road cycling power. Journal of Applied Biomechanics, 14(3), 276–291. https://doi.org/10.1123/jab.14.3.276
  • Nguyen, M. A., & Hà, M. H. (2023). The parallel drone scheduling traveling salesman problem with collective drones. Transportation Science, 57(4), 866–888. https://doi.org/10.1287/trsc.2022.1192
  • Oliver, I. M., Smith, D. J., & Holland, J. R. C. (1987). A study of permutation crossover operators on the traveling salesman problem. In Proceedings of the Second International Conference on Genetic Algorithms on Genetic Algorithms and Their Application (pp. 224–230). L. Erlbaum Associates Inc.
  • Pacheco, T., Martinelli, R., Subramanian, A., Toffolo, T. A., & Vidal, T.. (2023). Exponential-size neighborhoods for the pickup-and-delivery traveling salesman problem. Transportation Science, 57(2), 289–572. https://doi.org/10.1287/trsc.2022.1176
  • Pelletier, S., Jabali, O., & Laporte, G. (2019). The electric vehicle routing problem with energy consumption uncertainty. Transportation Research Part B: Methodological, 126, 225–255. https://doi.org/10.1016/j.trb.2019.06.006
  • Prins, C. (2004). A simple and effective evolutionary algorithm for the vehicle routing problem. Computers & Operations Research, 31(12), 1985–2002. 10.1016/S0305-0548(03)00158-8
  • Prins, C. (2009). A GRASP × evolutionary local search hybrid for the vehicle routing problem. In F. B. Pereira, & J. Tavares (Eds.), Bio-inspired algorithms for the vehicle routing problem (vol. 161, pp. 35–53). Springer.
  • Rahman, M. H., Rahman, M. F., & Tseng, T. L. B. (2022). Estimation of fuel consumption and selection of the most carbon-efficient route for cold-chain logistics. International Journal of Systems Science: Operations & Logistics, 10(1), 1–17. https://doi.org/10.1080/23302674.2022.2075043
  • Ross, M. (1997). Fuel efficiency and the physics of automobiles. Contemporary Physics, 38(6), 381–394. https://doi.org/10.1080/001075197182199
  • Silbernagl, D., Krismer, N., Malfertheiner, M., & Specht, G. (2016). Optimization of digital elevation models for routing. In L. Wiese, H. Bitzmann, & T. Waage (Eds.), Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, Nörten Hardenberg, Germany, May 24–27, 2016 (vol. 1594, pp. 103–108). CEUR-WS.org.
  • Song, Q., Zilecky, P., Jakob, M., & Hrncír, J. (2014). Exploring pareto routes in multi-criteria urban bicycle routing. In 17th International IEEE Conference on Intelligent Transportation Systems, ITSC 2014, Qingdao, China, October 8–11, 2014 (pp. 1781–1787). IEEE.
  • Tahami, H., Rabadi, G., & Haouari, M. (2020). Exact approaches for routing capacitated electric vehicles. Transportation Research Part E: Logistics and Transportation Review, 144, Article 102126. https://doi.org/10.1016/j.tre.2020.102126
  • Tipagornwong, C., & Figliozzi, M. (2014). Analysis of competitiveness of freight tricycle delivery services in urban areas. Transportation Research Record, 2410(1), 76–84. https://doi.org/10.3141/2410-09
  • Vidal, T. (2016). Split algorithm in O(n) for the capacitated vehicle routing problem. Computers & Operations Research, 69, 40–47. https://doi.org/10.1016/j.cor.2015.11.012
  • Vidal, T. (2022). Hybrid genetic search for the CVRP: Open-source implementation and SWAP* neighborhood hybrid genetic search for the cvrp: Open-source implementation and swap* neighborhood. Computers & Operations Research, 140, Article 105643. https://doi.org/10.1016/j.cor.2021.105643
  • Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2013). A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows. Computers & Operations Research, 40(1), 475–489. https://doi.org/10.1016/j.cor.2012.07.018
  • Vidal, T., Crainic, T. G., Gendreau, M., & Prins, C. (2014). A unified solution framework for multi-attribute vehicle routing problems. European Journal of Operational Research, 234(3), 658–673. https://doi.org/10.1016/j.ejor.2013.09.045
  • Wang, Y., Peng, S., Zhou, X., Mahmoudi, M., & Zhen, L. (2020). Green logistics location-routing problem with eco-packages. Transportation Research Part E: Logistics and Transportation Review, 143, Article 102118.
  • Wang, Y., Zhou, J., Sun, Y., Fan, J., Wang, Z., & Wang, H. (2023). Collaborative multidepot electric vehicle routing problem with time windows and shared charging stations. Expert Systems with Applications, 219, Article 119654.
  • Xiao, Y., Zhao, Q., Kaku, I., & Xu, Y. (2012). Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Computers & Operations Research, 39(7), 1419–1431. https://doi.org/10.1016/j.cor.2011.08.013
  • Zhang, J., Zhao, Y., Xue, W., & Li, J. (2015). Vehicle routing problem with fuel consumption and carbon emission. International Journal of Production Economics, 170, 234–242. https://doi.org/10.1016/j.ijpe.2015.09.031
  • Zhang, Z., Wei, L., & Lim, A. (2015). An evolutionary local search for the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints. Transportation Research Part B: Methodological, 82, 20–35. https://doi.org/10.1016/j.trb.2015.10.001

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.