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Short-Term Forecasting of Passenger Demand under On-Demand Ride
  Services: A Spatio-Temporal Deep Learning Approach

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

20 June 2017
Jintao Ke
Hongyu Zheng
Hai Yang
Xiqun
X. Chen
    AI4TS
ArXivPDFHTML

Papers citing "Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach"

17 / 17 papers shown
Title
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
Md Abrar Jahin
Asef Shahriar
Md Al Amin
AI4TS
44
4
0
24 May 2024
Fairness-enhancing deep learning for ride-hailing demand prediction
Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng
Qingyi Wang
Dingyi Zhuang
Shenhao Wang
Jinhua Zhao
41
12
0
10 Mar 2023
Multi-task Learning for Sparse Traffic Forecasting
Multi-task Learning for Sparse Traffic Forecasting
Jiezhang Li
Junjun Li
Yue-jiao Gong
17
2
0
18 Nov 2022
Joint Demand Prediction for Multimodal Systems: A Multi-task
  Multi-relational Spatiotemporal Graph Neural Network Approach
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach
Yuebing Liang
Guan Huang
Zhan Zhao
AI4TS
37
48
0
15 Dec 2021
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for
  Traffic Flow Forecasting
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting
Xiao Yan
X. Gan
Jingjing Tang
Rui Wang
ViT
AI4TS
24
0
0
03 Nov 2021
Exploring the Generalizability of Spatio-Temporal Traffic Prediction:
  Meta-Modeling and an Analytic Framework
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
Leye Wang
Di Chai
Xuanzhe Liu
Liyue Chen
Kai Chen
AI4TS
16
29
0
20 Sep 2020
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
Florian Toqué
E. Côme
Martin Trépanier
L. Oukhellou
AI4TS
17
3
0
22 Aug 2020
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction
Haoxing Lin
Rufan Bai
Weijia Jia
Xinyu Yang
Yongjian You
HAI
AI4TS
23
63
0
16 Jun 2020
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention
Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention
Haoxing Lin
Weijia Jia
Yongjian You
Yiping Sun
AI4TS
25
6
0
22 Feb 2020
Building Effective Large-Scale Traffic State Prediction System:
  Traffic4cast Challenge Solution
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution
Yang Liu
Fanyou Wu
B. Yu
Zhiyuan Liu
Jieping Ye
AI4TS
17
6
0
11 Nov 2019
Predicting origin-destination ride-sourcing demand with a
  spatio-temporal encoder-decoder residual multi-graph convolutional network
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
38
151
0
17 Oct 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
26
549
0
11 Jun 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
19
33
0
13 May 2019
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for
  Traffic Prediction
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao
Xianfeng Tang
Hua Wei
Guanjie Zheng
Z. Li
AI4TS
22
709
0
03 Mar 2018
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing
  Network: A Graph Convolutional Neural Network Approach
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Lei Lin
Zhengbing He
S. Peeta
GNN
12
370
0
13 Dec 2017
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand
  Systems
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems
Rick Zhang
Federico Rossi
Kevin Wang
David Hallac
Jure Leskovec
Marco Pavone
13
174
0
20 Sep 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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