The railway expected revenue, revenue increase rate and calculation time under different numbers of scenarios.

The railway expected revenue, revenue increase rate and calculation time under different numbers of scenarios.

<p>The railway expected revenue, revenue increase rate and calculation time under different numbers of scenarios.</p>

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Bibliographic Details
Main Author:	Jing Xu (15337) (author)
Other Authors:	Lianbo Deng (20285151) (author), Xinlei Hu (566377) (author), Jiayi Liu (740767) (author), Weidong Tan (20285154) (author)
Published:	2024
Subjects:	Medicine Biotechnology Evolutionary Biology Ecology Science Policy Plasma Physics Mathematical Sciences not elsewhere classified considering various constraints single demand scenario including train capacity level optimization algorithm optimization problem optimization model joint optimization xlink "> two sub ticket adjustment stochastic nature speed railways specific distribution show scenarios show behavior seat allocation results demonstrate proposed model problems according optimized iteratively numerical studies demand scenarios
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