计算机科学
比例(比率)
点(几何)
数据科学
管理科学
运筹学
工程类
地理
几何学
数学
地图学
作者
Matthias Winkenbach,Stefan Spinler,Julian Pachon,Karthik C. Konduri
出处
期刊:Transportation Science
[Institute for Operations Research and the Management Sciences]
日期:2023-12-12
卷期号:58 (1): 1-7
被引量:4
标识
DOI:10.1287/trsc.2023.intro.v58.n1
摘要
In this paper, we introduce the Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems, which draws its inspiration from the academic community’s positive reception of the 2021 Amazon Last Mile Routing Research Challenge. We provide a structured overview of the papers featured in this special issue, and briefly discuss other noteworthy contributions to the research challenge. Further, we point the reader to a number of peer-reviewed publications outside of this special issue that directly or indirectly emerged from the research challenge. We conclude by highlighting a number of important priorities for future research into applications of machine learning to real-world route planning problems.
科研通智能强力驱动
Strongly Powered by AbleSci AI