Short-term forecasting of emerging on-demand ride services
In the last few years, on-demand ride services boomed worldwide, and different modes of
ridesourcing services emerged, too. However, there have been few qualitative and …
ridesourcing services emerged, too. However, there have been few qualitative and …
Rod-revenue: Seeking strategies analysis and revenue prediction in ride-on-demand service using multi-source urban data
Recent years have witnessed the rapidly-growing business of ride-on-demand (RoD)
services such as Uber, Lyft and Didi. Unlike taxi services, these emerging transportation …
services such as Uber, Lyft and Didi. Unlike taxi services, these emerging transportation …
Exploring demand patterns of a ride-sourcing service using spatial and temporal clustering
TLK Liu, P Krishnakumari, O Cats - 2019 6th international …, 2019 - ieeexplore.ieee.org
On-demand transport has become a common mode of transport with ride-sourcing
companies like Uber, Lyft and Didi transforming the mobility market. Recurrent patterns in …
companies like Uber, Lyft and Didi transforming the mobility market. Recurrent patterns in …
Dynamic price prediction in ride-on-demand service with multi-source urban data
Ride-on-demand (RoD) services such as Uber and Didi (in China) are becoming
increasingly popular, and in these services dynamic price plays an important role in …
increasingly popular, and in these services dynamic price plays an important role in …
A unified framework with multi-source data for predicting passenger demands of ride services
Ride-hailing applications have been offering convenient ride services for people in need.
However, such applications still suffer from the issue of supply-demand disequilibrium …
However, such applications still suffer from the issue of supply-demand disequilibrium …
Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction
Recent years witness the increasing popularity of ride-on-demand (RoD) services such as
Uber and Didi. Compared with traditional taxi, RoD service is more “data-driven” and adopts …
Uber and Didi. Compared with traditional taxi, RoD service is more “data-driven” and adopts …
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service
In this paper, we present machine learning approaches for characterizing and forecasting
the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal …
the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal …
Understanding passenger reaction to dynamic prices in ride-on-demand service
In recent years emerging ride-on-demand services (eg., Uber or Didi) are penetrating into
the market of traditional taxi service. In these new services mobile devices are a key enabler …
the market of traditional taxi service. In these new services mobile devices are a key enabler …
A simple but quantifiable approach to dynamic price prediction in ride-on-demand services leveraging multi-source urban data
Ride-on-demand (RoD) services such as Uber and Didi are becoming increasingly popular,
and in these services dynamic prices play an important role in balancing the supply and …
and in these services dynamic prices play an important role in balancing the supply and …
[PDF][PDF] Ride Hailing Service Demand Forecast by Integrating Convolutional and Recurrent Neural Networks.
Ride hailing services, such as Uber, Lyft, and Grab have become a major transportation
mode in the last decade. Current ride demand is one of the major factors in such services' …
mode in the last decade. Current ride demand is one of the major factors in such services' …