Urban road traffic condition forecasting based on sparse ride‐hailing service data-Reference-Cited by-同舟云学术

Urban road traffic condition forecasting based on sparse ride‐hailing service data

Published:2020-05-06 Issue:7 Volume:14 Page:668-674
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Jia Ruo¹,Li Zhekang¹,Xia Yan¹,Zhu Jiayan²,Ma Nan²,Chai Hua²,Liu Zhiyuan¹^ORCID

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic TechnologiesSchool of Transportation, Southeast UniversityPeople's Republic of China

2. Beijing DiDi Infinity Technology and Development Co., LtdHaidian DistrictBeijingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0338

Reference23 articles.

1. Spatiotemporal traffic‐flow dependency and short‐term traffic forecasting;Yue Y.;Environ. Plann. B: Plann. Des.,2008

2. Tensor Decompositions and Applications

3. A Big Data Approach for Clustering and Calibration of Link Fundamental Diagrams for Large-Scale Network Simulation Applications

4. Citywide spatial‐temporal travel time estimation using big and sparse trajectories;Tang K.;IEEE Trans. Intell. Transp. Syst.,2018

Cited by 10 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. Dynamic Graph Representation Learning for Passenger Behavior Prediction;Future Internet;2024-08-15

2. Explainable Stacking-Based Learning Model for Traffic Forecasting;Journal of Transportation Engineering, Part A: Systems;2024-04

3. Bimodal Traffic Evacuation Management for Road Tunnels Considering Social Fairness: CTM-Based Model;Journal of Transportation Engineering, Part A: Systems;2023-07

4. A Systematic Literature Review on Machine Learning in Shared Mobility;IEEE Open Journal of Intelligent Transportation Systems;2023

5. Neural Network-Based Hybrid Forecasting Models for Time-Varying Passenger Flow of Intercity High-Speed Railways;Mathematics;2022-12-01