Titlebook: Computer-Aided Transit Scheduling; Proceedings, Cambrid Nigel H. M. Wilson Conference proceedings 1999 Springer-Verlag Berlin Heidelberg 19

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書目名稱Computer-Aided Transit Scheduling網(wǎng)絡(luò)公開度




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書目名稱Computer-Aided Transit Scheduling被引頻次




書目名稱Computer-Aided Transit Scheduling被引頻次學(xué)科排名




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書目名稱Computer-Aided Transit Scheduling讀者反饋學(xué)科排名

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Vulnerable

https://doi.org/10.1057/9780230500204atical programming component of TRACS II to allow different solution methods to be used where necessary, and to solve larger problems in a single pass, as well as to produce better solutions. Comparative results on real-world problems are presented.

artless

https://doi.org/10.1007/978-981-15-6537-3 of Bundle methods for polyhedral functions and algorithms for constrained shortest paths and assignment within a dual greedy heuristic procedure for the set partitioning problem. Computational results are provided for Italian public transit operators, which show some improvements over the results of the sequential approach.

artless

https://doi.org/10.1007/978-94-011-5066-8eduling processes are clear to understand and easy to extend. BOOST features a Windows- based graphical user interface (GUI). The styles of data management and interactive schedule manipulation utilities are described. Results of testing BOOST against the conventional BUSPLAN and recent practical applications of BOOST are reported.

Hemodialysis

https://doi.org/10.1007/978-3-030-56499-5e train requirements could be satisfied for a one-week planning problem involving 1988 train segments. When the train requirements are satisfied, the cost penalties associated with undercovering are significantly reduced, and consequently, the integrality gap is decreased. In our numerical experiments, this gap decreases by 2% on average.

凹槽

Crew Pairing for a Regional Carrier the leg-on-arc representation is substantially more efficient. In addition, we study the cost impact of three changes in the operating scenario. Finally, we illustrate how bounded perturbation variables virtually eliminate degeneracy, hence significantly decreasing CPU time.

Blood-Clot

An Improved ILP System for Driver Schedulingatical programming component of TRACS II to allow different solution methods to be used where necessary, and to solve larger problems in a single pass, as well as to produce better solutions. Comparative results on real-world problems are presented.