Prediction and Analysis of Transit Ferries Travel Time: An Open Data-Based Case Study

被引：0

作者：

Sarhani, Malek ^{[1
]}

El Amrani, Mohammed ^{[2
]}

El Achhab, Abdelhak ^{[1
]}

机构：

[1] Al Akhawayn Univ Ifrane, Sch Business Adm, Ifrane, Morocco

[2] Mohammed V Univ Rabat, Fac Sci, Rabat, Morocco

来源：

COMPUTATIONAL LOGISTICS, ICCL 2023 | 2023年 / 14239卷

关键词：

Public transport; Machine learning; Ferry transit; Travel time prediction; Open data;

D O I：

10.1007/978-3-031-43612-3_21

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The prediction of transit travel time using machine learning is an area of growing interest. Unlike previous research that focused on buses and rail transit systems, our work is focused on ferry transit. Specifically, the first contribution of this research is to compare machine learning techniques for predicting travel time in ferry transit. We then analyze the impact of various factors using different techniques. Our results indicate that weather significantly impacts travel time, in addition to the trip starting time and date.

引用

页码：337 / 349

页数：13

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