Real-Time Multivehicle Truckload Pickup and Delivery Problems
By Jian Yang, Patrick Jaillet, Hani S. Mahmassani. Transportation Science, 2004
319 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/3cbcd0e31e6c045f92c0620f991fd512269572fa
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
- Richard F. Hartl
- Jakob Puchinger
- Dominique Feillet
- Jesús González-Feliu
- Michel Gendreau
- Ulrike Ritzinger
- Diego Cattaruzza
- Andrés L. Medaglia
In Industrial and Manufacturing Engineering
- Michel Gendreau
- Richard F. Hartl
- Jakob Puchinger
- Andrés L. Medaglia
- Christelle Guéret
- Victor Pillac
- Dominique Feillet
- Jesús González-Feliu
Citations in the corpus
- A survey on dynamic and stochastic vehicle routing problems (2016, background): “…approaches, other concepts like stochastic modelling or stochastic strategies (e.g. waiting strategies) are investigated for the DVRPSC. Yang, Jaillet, and Mahmassani (2004) introduce a rolling horizon-based real-time multi-vehicle truckload PDP and present a MIP formulation for the…”
- A review of dynamic vehicle routing problems (2013, background): “[150] as an extension of MYOPT (see Section 4.”
- Quantifying the benefits of vehicle pooling with shareability networks (2013, background): “From a theoretical perspective, trip sharing is traditionally seen as an instance of “dynamic pickup and delivery” problems (12, 13), in which a number of goods or customers must be picked up and delivered efficiently at specific locations within well-defined time windows.”
- Dynamic pickup and delivery problems (2010, unknown): “A similar problem was studied by Yang et al. (2004).”
- Vehicle routing problems for city logistics (2017, background): “[112]), one has to decide when requests are rejected.”