Stochastic Vehicle Routing with Random Travel Times
By Astrid S. Kenyon, David P. Morton. Transportation Science, 2003
338 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/30d427966703eeef1b9f9599fcba17954288a8e0
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
- Miguel Andres Figliozzi
- Michel Gendreau
- Andrés L. Medaglia
- Christelle Guéret
- Victor Pillac
- Michael Schneider
- Teodor Gabriel Crainic
- Thibaut Vidal
In Industrial and Manufacturing Engineering
- Andrés L. Medaglia
- Christelle Guéret
- Victor Pillac
- Miguel Andres Figliozzi
- Michel Gendreau
- Teodor Gabriel Crainic
- Thibaut Vidal
- Christian Prins
In Transportation
Citations in the corpus
- A review of dynamic vehicle routing problems (2013, background): “Uncertainty may affect any of the input data, yet the three most studied cases are [33]: stochastic customers, where a customer needs to be serviced with a given probability [15,147]; stochastic times, in which either service or travel times are modeled by random variables [79,85,146]; and lastly, s”
- Stochastic Vehicle Routing Problems (2014, neutral): “…/ 111 VRPSTT: Relevant literature • Laporte et al. (1992) introduce travel and service time uncertainty in a non-capacitated version of the VRP with a max route duration • Kenyon and Morton (2003) study the VRP with stochastic travel and service times and no capacity constraints • Lei et al.…”
- Impacts of Congestion on Commercial Vehicle Tour Characteristics and Costs (2010, background): “Reliability as a constraint or objective has also been incorporated in operations research models where routes and service areas are designed using continuous approximations (Erera, 2000, Novaes et al., 2000) or on stochastic programming (Laporte and Louveaux, 1993, Kenyon and Morton, 2003).”