TY - JOUR
T1 - Graph representation of the fixed route dial-a-ride problem
AU - Grinshpoun, Tal
AU - Shufan, Elad
AU - Ilani, Hagai
AU - Levit, Vadim
AU - Brama, Haya
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/10
Y1 - 2023/10
N2 - The fixed route dial-a-ride problem (FRDARP) is a variant of the famous dial-a-ride problem, in which all the requests are chosen between terminals that are located along a fixed route. A reduction to the shortest path problem enables finding an optimal solution for FRDARP in polynomial time. However, the basic graph construction ends up with a huge graph, which makes the reduction impractical due to its memory consumption. To this end, we propose several pruning heuristics that enable us to considerably reduce the size of the graph through its dynamic construction. Additionally, we utilize the special features of the problem to apply parallelization to the graph traversal process. Our experiments show that each of the proposed heuristics on its own improves the practical solvability of FRDARP. Moreover, using them together is considerably more efficient than any single heuristic. Finally, the experiments confirm the efficiency of our suggested parallelization policy.
AB - The fixed route dial-a-ride problem (FRDARP) is a variant of the famous dial-a-ride problem, in which all the requests are chosen between terminals that are located along a fixed route. A reduction to the shortest path problem enables finding an optimal solution for FRDARP in polynomial time. However, the basic graph construction ends up with a huge graph, which makes the reduction impractical due to its memory consumption. To this end, we propose several pruning heuristics that enable us to considerably reduce the size of the graph through its dynamic construction. Additionally, we utilize the special features of the problem to apply parallelization to the graph traversal process. Our experiments show that each of the proposed heuristics on its own improves the practical solvability of FRDARP. Moreover, using them together is considerably more efficient than any single heuristic. Finally, the experiments confirm the efficiency of our suggested parallelization policy.
KW - DARP
KW - Fixed route
KW - Graph representation
KW - Parallelization
KW - Pruning heuristics
KW - Timetabling in transport
UR - http://www.scopus.com/inward/record.url?scp=85140655513&partnerID=8YFLogxK
U2 - 10.1007/s10951-022-00757-3
DO - 10.1007/s10951-022-00757-3
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85140655513
SN - 1094-6136
VL - 26
SP - 479
EP - 495
JO - Journal of Scheduling
JF - Journal of Scheduling
IS - 5
ER -