Copertina

Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Yiming, Zhao, Xilei, Zhang, Xiaojian, Paliwal, Mudit
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
di: Roantree, Mark, et al.
Pubblicazione: (2024)

Skill Demand Forecasting Using Temporal Knowledge Graph Embeddings
di: Fettach, Yousra, et al.
Pubblicazione: (2025)

Hurricane Evacuation Analysis with Large-scale Mobile Device Location Data during Hurricane Ian
di: Liu, Luyu, et al.
Pubblicazione: (2024)

Spatio-Temporal Graph Convolutional Network Combined Large Language Model: A Deep Learning Framework for Bike Demand Forecasting
di: Li, Peisen, et al.
Pubblicazione: (2024)

A Framework for Spatio-Temporal Graph Analytics In Field Sports
di: Antonini, Valerio, et al.
Pubblicazione: (2024)

ScooterLab: A Programmable and Participatory Sensing Research Testbed using Micromobility Vehicles
di: Khan, Ubaidullah, et al.
Pubblicazione: (2025)

Understanding Demand for Shared Autonomous Micro-Mobility
di: Sanchez, Naroa Coretti, et al.
Pubblicazione: (2025)

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
di: Kaiser, Silke K., et al.
Pubblicazione: (2025)

UrbanGPT: Spatio-Temporal Large Language Models
di: Li, Zhonghang, et al.
Pubblicazione: (2024)

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
di: Chen, Ruxiao, et al.
Pubblicazione: (2025)

Impact of Shared E-scooter Introduction on Public Transport Demand: A Case Study in Santiago, Chile
di: Opitz, Daniela, et al.
Pubblicazione: (2024)

Quantifying the Improvement of Accessibility achieved via Shared Mobility on Demand
di: Diepolder, Severin, et al.
Pubblicazione: (2025)

Explainable Graph Neural Networks for Optimized Allocation in Spatio‐Temporal Bike Sharing Demand Prediction
di: Anand Polamarasetti
Pubblicazione: (2025)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
di: Li, Zhonghang, et al.
Pubblicazione: (2024)

AI Awareness
di: Li, Xiaojian, et al.
Pubblicazione: (2025)

Transformations in the Time of The Transformer
di: Faratin, Peyman, et al.
Pubblicazione: (2023)

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
di: Lei, Songxin, et al.
Pubblicazione: (2025)

CARDIO-Affect: A Hamiltonian-Variability Framework for Spatio-Temporal Emotional Pattern Recognition with Manifold-Based Individual and Group Profiling
di: Sun, Xiao
Pubblicazione: (2025)

Performance Evaluation of Real-Time Object Detection for Electric Scooters
di: Chen, Dong, et al.
Pubblicazione: (2024)

A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
di: Bhadani, Rahul
Pubblicazione: (2024)

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
di: Qiu, Mingjie, et al.
Pubblicazione: (2023)

Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
di: Xu, Rongwu, et al.
Pubblicazione: (2025)

News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand
di: Bai, Yun, et al.
Pubblicazione: (2023)

Water Demand Forecasting of District Metered Areas through Learned Consumer Representations
di: Ramachandran, Adithya, et al.
Pubblicazione: (2025)

FairGT: A Fairness-aware Graph Transformer
di: Luo, Renqiang, et al.
Pubblicazione: (2024)

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning
di: Zhang, Xiaojian, et al.
Pubblicazione: (2022)

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education
di: Ito, Hibiki, et al.
Pubblicazione: (2026)

Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
di: Karakuş, Oktay, et al.
Pubblicazione: (2026)

A Graph Theoretic Approach to Analyze the Developing Metaverse
di: Dash, Anirudh
Pubblicazione: (2024)

On-Demand Sampling: Learning Optimally from Multiple Distributions
di: Haghtalab, Nika, et al.
Pubblicazione: (2022)

61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)
di: Zamfirescu-Pereira, J. D., et al.
Pubblicazione: (2024)

Inferring Prerequisite Knowledge Concepts in Educational Knowledge Graphs: A Multi-criteria Approach
di: Alatrash, Rawaa, et al.
Pubblicazione: (2025)

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
di: Yu, Shaohan, et al.
Pubblicazione: (2024)

Video-Language Alignment via Spatio-Temporal Graph Transformer
di: Zhang, Shi-Xue, et al.
Pubblicazione: (2024)

A Graph-Based Model for Vehicle-Centric Data Sharing Ecosystem
di: Yuan, Haiyue, et al.
Pubblicazione: (2024)

UrbanScore: A Real-Time Personalised Liveability Analytics Platform
di: Vladut, Vrinceanu Alin
Pubblicazione: (2025)

JobPulse: A Big Data Approach to Real-Time Engineering Workforce Analysis and National Industrial Policy
di: Markel, Karen S., et al.
Pubblicazione: (2025)

Challenges for Real-Time Toxicity Detection in Online Games
di: Ng, Lynnette Hui Xian, et al.
Pubblicazione: (2024)

MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models
di: Zhang, Yongheng, et al.
Pubblicazione: (2025)

Building a Village: A Multi-stakeholder Approach to Open Innovation and Shared Governance to Promote Youth Online Safety
di: Caddle, Xavier V., et al.
Pubblicazione: (2025)