Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Michael Zhi-Feng Li"'
Publikováno v:
Accident Analysis & Prevention. 117:346-356
Accident events are generally unexpected and occur rarely. Pre-accident risk assessment by surrogate indicators is an effective way to identify risk levels and thus boost accident prediction. Herein, the concept of Key Risk Indicator (KRI) is propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2095736e731581c6d445829b71a03b62
https://doi.org/10.1016/j.aap.2018.05.007
https://doi.org/10.1016/j.aap.2018.05.007
Autor:
Michael Zhi Feng Li, Boqian Song
Publikováno v:
Production and Operations Management. 27:1334-1354
In this study, we investigate unbundling when a firm dynamically prices a basic service, while separating the sale of a fixed-price add-on. We characterize the optimal dynamic unbundling pricing policy and investigate its structural properties. We fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8fd73ebe0d701a8e3b51325e0c5e957
https://doi.org/10.1111/poms.12871
https://doi.org/10.1111/poms.12871
Early risk diagnosis and driving anomaly detection from vehicle stream are of great benefits in a range of advanced solutions towards Smart Road and crash prevention, although there are intrinsic challenges, especially lack of ground truth, definitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::452c28fc8d9938483c6e8a320074f1b4
Publikováno v:
Accident; analysis and prevention. 129
This study designs a framework of feature extraction and selection, to assess vehicle driving and predict risk levels. The framework integrates learning-based feature selection, unsupervised risk rating, and imbalanced data resampling. For each vehic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c99e9b8c92e3b332f9dafefc3a8aa9f
https://pubmed.ncbi.nlm.nih.gov/31154284
https://pubmed.ncbi.nlm.nih.gov/31154284
Autor:
Michael Zhi Feng Li, Tae Hoon Oum
Publikováno v:
European Journal of Operational Research. 125:205-215
Most research on airline passenger spill has assumed a normal distribution for the nominal demand. But empirical evidences show that normal distribution is not suitable in many cases, especially for spill analysis of business and first class compartm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98f0cf7c3e9e392482dda88d8737a95d
https://doi.org/10.1016/s0377-2217(99)00194-0
https://doi.org/10.1016/s0377-2217(99)00194-0