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From: A review of passenger-oriented railway rescheduling approaches
Paper | Capacity | Type | Scope | Rescheduling measures | Rescheduling models | Passenger details | Objective function minimized | Solution approach |
---|---|---|---|---|---|---|---|---|
Schöbel [7] | P | MA | RT + RO | MIP | S | TPD | E (Branch and bound) | |
Heilporn et al. [8] | P | MA | RT + RO | MIP | S | TPD | E (Branch and cut) and H (constraint generation) | |
Schachtebeck et al. [9] | RC | P | MA | RT + RO | IP | S | TPD + NMC | H (FSFS, FRFS,EARLYFIX) |
Schöbel [10] | TC | P | MA | RT + RO | IP | S | TPD + NMC | H (FSFS and B & B-OS) |
Dollevoet et al. [11] | P | MA | RT + RO | IP | S | ATP | E (Dijkstra algorithm) | |
Dollevoet and Huisman [12] | P | MA | RT + RO | IP | S | TPD | H (Three sets of heuristics) | |
Dollevoet et al. [13] | TC + SC | P | MA | RT + RO | IP | S | TPD + NTC | H (Iterative heuristics) |
Kanai et al. [14] | TC | P | MA | RT + RO | MIP | S | PI | M (Tabu search algorithm) |
Sato et al. [30] | TC + SC | P | MI | RT + RO + RR | MIP | S | PI | E and H (Exact and heuristics methods) |
Tanaka et al. [16] | TC + TSC | P | MA | RT + RO | O | D | PI | E (Dijkstra algorithm) |
Norio et al. [15] | TC + SC | P | MA | RT + RO + RR + AS + E + C + RSR | O | I | PI | M(Simulated Modelling) and PERT |
Zhu and Goverde [17] | TC + SC | D | MA | RT + RO + AS + SS + ST + C | MIP | S | TDP | E (Gurobi Solver) |
Zhu and Goverde [18] | TC + SC | D | MA | RT + RO + AS + SS + ST + C | MIP | D | GTT | M (Adapted fix-and-optimize algorithm) |
Binder et al. [19] | TC + SC + TSC | D | MA | RT + RO + RR + C + E | IP | D | PI + OC + TTT | E (Commercial solver) |
Binder et al. [20] | TC + SC + TSC | D | MA | RT + RO + RR + C + E + SS | O | S | PI + OC + TTT | M (Adaptive large neighbourhood search) |
Hong et al. [21] | TC + TSC | D | MA | RT + RO + RR + AS | MIP | D | NSP + TTT | E (Commercial solver) |
Kroon et al. [22] | TC + TSC | D | MA | RT + RO + RSR | IP | D | GTT + RSR | H (Iterative heuristics) and simulation |
Vennlenturf et al. [23] | TC + RSC | D | MA | RT + RO + AS + RSR | IP | D | RSR + SC + PEC | H (Iterative heuristics) |
Hoogervorst et al. [25] | TSC | D | MA | RT + RO + ST + RSR | MIP | S | GTT + PC | E (Branch & bound and branch & price) |
Espinose-Aranda and García-Ródenas [27] | TC | P | MI | RT + RO | IP + AG | S | TPD | H (Avoid most delayed alternative arc) |
Dollevoet et al. [28] | TC + SC | P | MI | RT + RO | IP | S | TTD + NMC | H (Iterative approach) |
Corman et al. [26] | TC | P | MI | RT + RO | MIP + AG | S | TTD + NMC | H (Three iterative heuristics algorithms) |
Corman et al. [29] | TC | P | MI | RT + RO | MIP + AG | S | GTT | H (Three iterative heuristics algorithms) |
Toletti and Weidmann [31] | TC + SC | P | MI | RT + RO | IP | D | TTD + TPD + PI | E (Commercial solver) and simulation |
Shakibayifar et al. [32] | TC + SC | D | MI | RT + RO + SC | MIP | S | TTD + PC | E (Exact method) and H (two heuristics) |
Zhan et al. [33] | TC + SC + TSC | D | MI | RT + RO + C | IP | S | OC + PEC | E (Alternating direction method of multipliers and lagrangian relaxation) |