GNN-based Passenger Request Prediction

Understand

Passenger request prediction is essential for operations planning, control, and management in ride-sharing platforms.

• While the demand prediction problem has been studied extensively, the Origin-Destination (OD) flow prediction of passengers has received less attention from the research community.
• This paper develops a Graph Neural Network framework along with the Attention Mechanism to predict the OD flow of passengers.
• The proposed framework exploits various linear and non-linear dependencies that arise among requests originating from different locations and captures the repetition pattern and the contextual data of that place.