Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery Deadlines

Frohner, Nikolaus; Horn, Matthias; Raidl, Günther R.

doi:https://doi.org/10.1016/j.procs.2021.01.175

by Nikolaus Frohner, Matthias Horn, Günther R. Raidl

Reference:

Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery DeadlinesNikolaus Frohner, Matthias Horn, Günther R. RaidlProceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), volume 180 of Procedia Computer Science, pages 366-370, 2021.

Bibtex Entry:

@inproceedings{frohner-20a,
title = {Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery Deadlines},
series = {Procedia Computer Science},
volume = {180},
pages = {366-370},
year = {2021},
booktitle = {Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)},
issn = {1877-0509},
doi = {https://doi.org/10.1016/j.procs.2021.01.175},
url = {https://www.sciencedirect.com/science/article/pii/S1877050921002155},
author = {Nikolaus Frohner and Matthias Horn and G{\"u}nther R. Raidl},
keywords = {Performance Prediction, Dynamic, Stochastic VRP with Time Windows, Weighted Least Squares}
}