Work

Short-term prediction of lane-level traffic speeds: A fusion deep learning model

Year: 2019

Type: article

Source: Transportation Research Part C Emerging Technologies

DOI: 10.1016/j.trc.2019.07.003

Authors: Yuanli Gu, Wenqi Lu, Lingqiao Qin, Meng Li, Zhuangzhuang Shao

Institutions: Beijing Jiaotong University, Southeast University, University of Wisconsin–Madison

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: 面向制定路网节能减排政策的运行模式分布模型研究

OpenAlex ID: W2960749694

FWCI: 17.52

Cites: 55

Cited by: 180

Related to: 10