Cost Function Approximation for the Dynamic Scheduled Service Network Design Problem
Published Online:29 Sep 2026https://doi.org/10.1287/trsc.2025.0428
References
- (2020) Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles. Eur. J. Oper. Res. 284(3):1088–1106.Crossref, Google Scholar
- (2014) Stochastic service network design with rerouting. Transportation Res. Part B Methodological 60:50–65.Crossref, Google Scholar
- (2023) The dynamic freight routing problem for less-than-truckload carriers. Transportation Sci. 57(3):717–740.Link, Google Scholar
- (2024) Hedging against uncertainty in transportation network design through flexible scheduling. Omega 126:103045.Crossref, Google Scholar
- (2017) The continuous-time service network design problem. Oper. Res. 65(5):1303–1321.Link, Google Scholar
- (2019) The price of discretizing time: A study in service network design. Eur. J. Transportation Logist. 8(2):195–216.Crossref, Google Scholar
- (2015) Cutting-plane matheuristic for service network design with design-balanced requirements. Transportation Sci. 49(1):99–113.Link, Google Scholar
- (2000) Service network design in freight transportation. Eur. J. Oper. Res. 122(2):272–288.Crossref, Google Scholar
- (2021) Service network design. Crainic TG, Gendreau M, Gendron B, eds. Network Design with Applications to Transportation and Logistics (Springer, Cham, Switzerland), 347–382.Crossref, Google Scholar
- (2014) Service network design with resource constraints. Transportation Sci. 50(4):1380–1393.Link, Google Scholar
- (2018) Scheduled service network design with resource acquisition and management. Eur. J. Transportation Logist. 7(3):277–309.Crossref, Google Scholar
- (2016) A green intermodal service network design problem with travel time uncertainty. Transportation Res. Part B Methodological 93:789–807.Crossref, Google Scholar
- (2013) Improved load plan design through integer programming based local search. Transportation Sci. 47(3):412–427.Link, Google Scholar
- (2022) A scalable anticipatory policy for the dynamic pickup and delivery problem. Comput. Oper. Res. 147:105943.Crossref, Google Scholar
- (1968) A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Systems Sci. Cybernetics 4(2):100–107.Crossref, Google Scholar
- (2022) The flexible scheduled service network design problem. Transportation Sci. 56(4):1000–1021.Link, Google Scholar
- (2023) New formulations for the scheduled service network design problem. Transportation Res. Part B Methodological 172:117–133.Crossref, Google Scholar
- (2021) Stochastic network design. Crainic TG, Gendreau M, Gendron B, eds. Network Design with Applications to Transportation and Logistics (Springer, Cham, Switzerland), 283–315.Crossref, Google Scholar
- (2019) Scheduled service network design with resource acquisition and management under uncertainty. Transportation Res. Part B Methodological 128:324–343.Crossref, Google Scholar
- (2023) Opportunities for reinforcement learning in stochastic dynamic vehicle routing. Comput. Oper. Res. 150:106071.Crossref, Google Scholar
- (2010) A metaheuristic for stochastic service network design. J. Heuristics 16:653–679.Crossref, Google Scholar
- (2009) Large-scale, less-than-truckload service network design. Oper. Res. 57(3):609–625.Link, Google Scholar
- (2022) Lagrange dual bound computation for stochastic service network design. Eur. J. Oper. Res. 302(3):1097–1112.Crossref, Google Scholar
- (2021) Soft clustering-based scenario bundling for a progressive hedging heuristic in stochastic service network design. Comput. Oper. Res. 128:105182.Crossref, Google Scholar
- (2023) A continuous time physical graph based formulation to scheduled service network design. Bruglieri M, Festa P, Macrina G, Pisacane O, eds. Optim. Green Sustainability Ecological Transition. ODS 2023, AIRO Springer Series, vol. 12 (Springer, Cham, Switzerland), 265–275.Google Scholar
- (2021) Scheduled service network design with quality targets and stochastic travel times. Eur. J. Oper. Res. 288(1):30–46.Crossref, Google Scholar
- (2023) Stochastic service network design: The value of fixed routes. Transportation Res. Part E Logist. Transportation Rev. 174:103118.Crossref, Google Scholar
- (2007) Correlations in stochastic programming: A case from stochastic service network design. Asia-Pacific J. Oper. Res. 24(2):161–179.Crossref, Google Scholar
- (2009) A study of demand stochasticity in service network design. Transportation Sci. 43(2):144–157.Link, Google Scholar
- (2021) Interval-based dynamic discretization discovery for solving the continuous-time service network design problem. Transportation Sci. 55(1):29–51.Link, Google Scholar
- (2009) Models and tabu search metaheuristics for service network design with asset-balance requirements. Transportation Sci. 43(2):158–177.Link, Google Scholar
- (2021) Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions (John Wiley & Sons, Inc., Hoboken, NJ).Google Scholar
- (2022) Stochastic service network design for a platooning service provider. Transportation Res. Part C Emerging Tech. 144:103912.Crossref, Google Scholar
- (2019) Service network design with mixed autonomous fleets. Transportation Res. Part E Logist. Transportation Rev. 124:40–55.Crossref, Google Scholar
- (2025) Top 50 trucking companies. Retrieved September 11, https://www.logisticsmgmt.com/article/top_50_trucking_companies.Google Scholar
- (2024) Incorporating holding costs in continuous-time service network design: New model, relaxation, and exact algorithm. Transportation Sci. 58(2):412–433.Link, Google Scholar
- (2022) Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review. Eur. J. Oper. Res. 298(3):801–820.Crossref, Google Scholar
- (2025) Learning state-dependent policy parametrizations for dynamic technician routing with rework. Transportation Sci. 59(5):1153–1171.Link, Google Scholar
- (2025) Dynamic pickup-and-delivery for collaborative platforms with time-dependent travel and crowdshipping. Eur. J. Oper. Res. 322(1):70–84.Crossref, Google Scholar
- (2017a) Determining departure times in dynamic and stochastic maritime routing and scheduling problems. Flexible Services Manufacturing J. 29(3):553–571.Crossref, Google Scholar
- (2017b) Improved solutions to dynamic and stochastic maritime pick-up and delivery problems using local search. Ann. Oper. Res. 253(2):825–843.Crossref, Google Scholar
- (2013) Heuristics for dynamic and stochastic routing in industrial shipping. Comput. Oper. Res. 40(1):253–263.Crossref, Google Scholar
- (2020a) On modeling stochastic dynamic vehicle routing problems. Eur. J. Transportation Logist. 9(2):100008.Crossref, Google Scholar
- (2020b) Binary driver-customer familiarity in service routing. Eur. J. Oper. Res. 286(2):477–493.Crossref, Google Scholar
- (2021) The restaurant meal delivery problem: Dynamic pickup and delivery with deadlines and random ready times. Transportation Sci. 55(1):75–100.Link, Google Scholar
- (2016) Stochastic scheduled service network design in the presence of a spot market for excess capacity. Eur. J. Transportation Logist. 5(4):393–413.Crossref, Google Scholar
- (2019) Stochastic network design for planning scheduled transportation services: The value of deterministic solutions. INFORMS J. Comput. 31(1):153–170.Link, Google Scholar
- (2008) Service network design for freight transportation: A review. OR Spectrum 30(1):77–112.Crossref, Google Scholar

