DeepAI AI Chat
Log In Sign Up

GNN-based Passenger Request Prediction

by   Aqsa Ashraf Makhdomi, et al.

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. Moreover, the optimal size of the grid cell that covers the road network and preserves the complexity and accuracy of the model is determined. Extensive simulations are conducted to examine the characteristics of our proposed approach and its various components. The results show the superior performance of our proposed model compared to the existing baselines.


page 5

page 7


Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks

For bike sharing systems, demand prediction is crucial to ensure the tim...

A Baselined Gated Attention Recurrent Network for Request Prediction in Ridesharing

Ridesharing has received global popularity due to its convenience and co...

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach

Bike sharing is an increasingly popular part of urban transportation sys...

Hyperbolic Graph Attention Network

Graph neural network (GNN) has shown superior performance in dealing wit...

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension

Conversational machine reading comprehension (MRC) has proven significan...

Looking at CTR Prediction Again: Is Attention All You Need?

Click-through rate (CTR) prediction is a critical problem in web search,...