Overcharged Accelerator. Zephyr Thruster. Regeneration Converter. Void Binary Thrusters. Resurgence System. Cancel Save. Universal Conquest Wiki. Basic Cargo. Armored Hold. Iron Star Company Specials Thrusters. Demon Corps Specials Thrusters. Xeno Division Specials Thrusters. If the run is not legal, than it shows exactly which rule the run is violating. This ability also allows the scheduler to undo the offending run, or change the run definition rules and then get an instant reclassification and recosting of all the existing runs.
This feature is a great help for running quick policy scenarios to measure the impact of proposed changes on the existing driver schedules without recutting all the runs.
Combination Techniques:. The method used is a combination of heuristic and algorithmic techniques. It is well known that while an optimal solution contains mostly efficient duties, a few inefficient duties are needed to complete the puzzle that constitutes an optimal crew scheduling solution If the number of each run type is known beforehand, it is much easier to use a heuristic to cut the runs. In the previous example, all runs had to be 2-piece straights with meal breaks, and these were the only run types that were cut.
Most properties allow a combination of run types including straights, splits, and trippers that can compose the runcut. Often union agreements specify that there must be a minimum percentage of runs of a certain type usually straight runs.
An LP is then solved to determine the minimum cost number and type of each run required for this rounded times problem. The decision to use 15, 30 or minute time buckets depends on the problem size.
Sixty minute buckets must sometimes be used to make the LP problem small enough to be solved with a great sacrifice to time accuracy.
Once this profile is obtained, it is used to guide a heuristic that actually cuts the blocks, always following the ideal profile as closely as possible. After the heuristic is finished, there is a set of undesirable work that is handled by trippers.
It is our experience that solving an LP relaxation is not necessary to determine the optimal run type set. TMS uses this technique in addition to user parameterization to arrive at an optimal runcut. Straight runs are cut using heuristics, two-piece runs are cut using the matching technique described earlier, and greater-than-two piece runs are combined last. The advantage of this technique over the HASTUS approach is that the runs are always derived from real data, not from an approximate relaxation.
Secondly, the long solve time and large memory requirement of the LP solver is avoided. The TMS technique allows a full runcut to be produced in a matter of minutes if desired.
This can dramatically save time during a negotiation situation where there is some latitude in the runcut rules that may be extremely difficult to determine ahead of time.
Of course, the scheduler can always cut runs manually from a point-and-click user interface. Finally, the TMS heuristics closely imitate the actions normally done by the scheduler, but much, much faster. They do not require advanced mathematical experience to understand or use. This allows schedulers to spend their time actually scheduling, not trying to figure out why the mathematical solver takes so long, has gone unfeasible, or will not converge.
Column generation promises to solve runcutting to a provable global optimum without any intervention from the scheduler. However, this technique does not terminate for more than a modest numbers of runs, it requires a very large and expensive computer, and it can have solution times greater than 24 hours even for modest property sizes Although we will continue to follow this and every new technique in transit scheduling, we feel that the current column generation methods do not provide enough business value to justify their use.
TMS delivers sophisticated state-of-the-art solver functionality. It uses robust algorithmic solution methods where available, and provides a blend of heuristic and algorithmic techniques when necessary. Its data modeling and trip generation techniques ensure that the scheduler is always solving a realistic problem based on accurate data.
Its point-and-click user interface always leaves the scheduler in control of all system parameters and costs. The impressive speed of the solvers allows multiple scenarios to be evaluated fast for time critical special event planning and during union negotiation. Optimierung in Verkehr und Transport. Vehicle Blocking with Create Blocks and Minbus. As such, it becomes more critical for schedulers to develop a thorough understanding of the numerous interactive tools afforded by HASTUS to create a set of efficient vehicle blocks in a timely manner.
Schedulers will learn how to use key menu-options to achieve specific results and how to control the CrewOpt output through rules, parameters, optimization technique and menu options. The Group Session will discuss the evaluation of various runcut scenarios for efficiency and quality of life. Such understanding of the workforce calculation will provide clarity on the link between crew schedule requirements for quality rostering. Rail Scheduling.
As with any large transit agency with aging infrastructure, delays and disruptions are common due to planned upgrades to restore a state of good repair. Despite this necessary work, passengers still expect reliable service on an ongoing basis. This training will teach schedulers how to not only maintain schedules for regular day-to-day service, but also how to plan effective schedules for periods of service disruption.
Planners are generally responsible for the maintenance of GIS information such as stop localization and itineraries. CSched offre actuellement les cours suivants :. Notions fondamentales du transport de personnes.
Calibration de temps de parcours et de battements minimum. Graphicage avec Create Blocks et Minbus.
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