Multi-dimensional spatiotemporal demand forecasting and service vehicle dispatching for online car-hailing platforms
Year of publication: |
2022
|
---|---|
Authors: | Guo, Yuhan ; Zhang, Yu ; Boulaksil, Youssef ; Tian, Ning |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 60.2022, 6, p. 1832-1853
|
Subject: | demand forecasting | machine learning | Online car-hailing | sensing area | spatiotemporal | vehicle dispatching | Prognoseverfahren | Forecasting model | Nachfrage | Demand |
-
A machine learning approach to itinerary-level booking prediction in competitive airline markets
Hopman, Daniel, (2021)
-
Kantasa-ard, Anirut, (2021)
-
Application of machine learning techniques in railway demand forecasting
Alamdari, Neda Etebari, (2021)
- More ...
-
Real-time ride-sharing framework with dynamic timeframe and anticipation-based migration
Guo, Yuhan, (2021)
-
Modelling and analysis of online ride-sharing platforms : a sustainability perspective
Guo, Yuhan, (2023)
-
A distributed approximation approach for solving the sustainable supply chain network design problem
Guo, Yuhan, (2019)
- More ...