scholarly journals A Micro-simulation Model of Updating Expected Travel Time in Provision of Travel Information: A Bayesian Belief Approach Implemented in a Multi-state Supernetwork

2014 ◽  
Vol 32 ◽  
pp. 796-801
Author(s):  
Zahra Parvaneh ◽  
Feixiong Liao ◽  
Theo Arentze ◽  
Harry Timmermans
2021 ◽  
Vol 36 ◽  
pp. 100851
Author(s):  
Jorne Biccler ◽  
Kaatje Bollaerts ◽  
Pareen Vora ◽  
Elodie Sole ◽  
Luis Alberto Garcia Rodriguez ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6038
Author(s):  
Mariano Gallo ◽  
Marilisa Botte ◽  
Antonio Ruggiero ◽  
Luca D’Acierno

We propose a model for optimising driving speed profiles on metro lines to reduce traction energy consumption. The model optimises the cruising speed to be maintained on each section between two stations; the functions that link the cruising speed to the travel time on the section and the corresponding energy consumption are built using microscopic railway simulation software. In addition to formulating an optimisation model and its resolution through a gradient algorithm, the problem is also solved by using a simulation model and the corresponding optimisation module, with which stochastic factors may be included in the problem. The results are promising and show that traction energy savings of over 25% compared to non-optimised operations may be achieved.


2020 ◽  
Vol 54 (5) ◽  
pp. 1332-1350
Author(s):  
Luis F. Cardona ◽  
Kevin R. Gue

We describe a method to generate layouts for unit-load warehouses that use multiple slot heights as a way to maximize warehouse space utilization. The problem has two parts: slots must be arranged into rack-bays, and rack-bays must be arranged into a layout. We describe two methods for the first subproblem, depending on whether the warehouse has directed picking and put-away. For the second, we describe a simulation model and a greedy procedure based on the duration-of-stay storage policy. We observe significant benefits of using multiple slot heights in unit-load warehouses with respect to footprint, expected travel time, and cost of racking. For a typical warehouse, we expect space savings between 25% and 35%, depending on the number of slot types, and savings of between 15% and 25% in annual operating costs.


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