To accurately predict passengers’ demand for ride-hailing, increase transport capacity in some areas directionally, make it easier for passengers to book ride-hailing, and thus enhance passengers’ travel experience, based on BP neural network model, combined with 2015-Mak-2019 ride-hailing demand change data, and based on MATLAB platform, the demand trend of 20202024 is forecasted. The results show that the demand for shared cars and rides will increase rapidly. Demand for shared bikes and taxis is rising slowly.
Traffic demand Forecast of online car-hailing based on BP Neural Network
2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Bus network planning based on traffic demand forecast
British Library Conference Proceedings | 2022
|Bus network planning based on traffic demand forecast
SPIE | 2022
|Road network traffic state estimation method and device based on online car-hailing big data
Europäisches Patentamt | 2023
|