A time-space network based exact optimization model for multi-depot bus scheduling

By Natalia Kliewer, Taïeb Mellouli, L. Suhl. European Journal of Operational Research, 2006

313 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/8581777c771bc21c0c1735ef9c2c301e3dfb535c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Tianyang Zhao
2. Peng Wang
3. Shuhan Yao
4. Thomas Schlechte
5. Stefan Bunte
6. Natalia Kliewer

In Industrial and Manufacturing Engineering

1. Tianyang Zhao
2. Peng Wang
3. Shuhan Yao
4. Thomas Schlechte
5. Stefan Bunte
6. Natalia Kliewer

In Transportation

1. Thomas Schlechte
2. Stefan Bunte
3. Tianyang Zhao
4. Peng Wang
5. Shuhan Yao
6. Natalia Kliewer

Citations in the corpus

• An overview on vehicle scheduling models (2009, methodology): “[19] and [35] considers the multiple depot case with vehicle type groups within a connection-based multi-commodity approach and the realization within a time-space network based approach was done in [31].”
• Railway Track Allocation: Models and Algorithms (2012, methodology): “Timelines are applied to a lot of planning problems, where the number of potential arcs can become too large to handle them explicitly, see Desrosiers, Soumis & Desrochers (1982) [75]; Kliewer, Mellouli & Suhl (2006) [132]; Lamatsch (1992) [143]; Weider (2007) [213].”
• Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids (2019, methodology): “NOMENCLATURE Acronyms DS Distribution system MG Microgrid TESS Transportable energy storage system DG Distributed generator DER Distributed energy resource TSN Time-space network MILP Mixed-integer linear programming VSP Vehicle scheduling problem SOC State of charge.”