Spatio-Temporal Digraph Convolutional Network-Based Taxi Pickup Location Recommendation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Spatio-Temporal Digraph Convolutional Network-Based Taxi Pickup Location Recommendation

Published:2023-01 Issue:1 Volume:19 Page:394-403
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zhang Yan¹^ORCID,Shen Guojiang¹^ORCID,Han Xiao²^ORCID,Wang Wei³^ORCID,Kong Xiangjie¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

2. School of Data Science, City University of Hong Kong, Hong Kong

3. School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Pioneer

Leading Goose

R&D Program of Zhejiang

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for the Provincial Universities of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9944026/09793719.pdf?arnumber=9793719

Reference30 articles.

1. Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

2. Impact Analysis of Land Use on Traffic Congestion Using Real-Time Traffic and POI

3. Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning

4. Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things

5. Traffic speed prediction for urban transportation network: A path based deep learning approach

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On Exploring the Carrying-Charging Demand Balance in Cruising Route Recommendation for Vacant Electric Taxis;IEEE Transactions on Mobile Computing;2024-10

2. Performance‐driven contractor recommendation system using a weighted activity–contractor network;Computer-Aided Civil and Infrastructure Engineering;2024-08-29

3. AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation;ACM Transactions on Knowledge Discovery from Data;2024-08-21

4. Memristor-Based Operant Conditioning Neural Network With Blocking and Competition Effects;IEEE Transactions on Industrial Informatics;2024-08

5. Horizontal Federated Recommender System: A Survey;ACM Computing Surveys;2024-05-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3