2006
DOI: 10.1016/j.ejor.2005.02.027
|View full text |Cite
|
Sign up to set email alerts
|

Optimal control of road freight flows by route choice inducement: A case from Mexico

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 7 publications
0
1
0
Order By: Relevance
“…The challenging problems in freight transportation, and their suitability for applying scientific methodologies, resulted in research over a wide spectrum. This research covers vehicle routing problems with their variants and solution approaches (Laporte [12]; Laporte et al [13]; Toth and Vigo [26]), freight flow planning (Moreno-Quintero [19]), service network design (Andersen et al [2]), and integrated transportation planning that extends vehicle routing and scheduling by adding the possibility of contracting outsourced fleets (Krajewska and Kopfer [11]). Mes et al [17] introduced agent-based scheduling of full truckload orders with time windows, and identified the need for a flexible, stable, and robust planning and control system.…”
Section: Introductionmentioning
confidence: 99%
“…The challenging problems in freight transportation, and their suitability for applying scientific methodologies, resulted in research over a wide spectrum. This research covers vehicle routing problems with their variants and solution approaches (Laporte [12]; Laporte et al [13]; Toth and Vigo [26]), freight flow planning (Moreno-Quintero [19]), service network design (Andersen et al [2]), and integrated transportation planning that extends vehicle routing and scheduling by adding the possibility of contracting outsourced fleets (Krajewska and Kopfer [11]). Mes et al [17] introduced agent-based scheduling of full truckload orders with time windows, and identified the need for a flexible, stable, and robust planning and control system.…”
Section: Introductionmentioning
confidence: 99%