Work

Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity

Year: 2018

Type: article

Source: Computers Environment and Urban Systems

DOI: 10.1016/j.compenvurbsys.2018.05.009

Authors: Shifen Cheng, Feng Lu, Peng Peng, Sheng Wu

Institutions: Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Fuzhou University

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

Funders: Chinese Academy of Sciences, Major State Basic Research Development Program of China

Awards: G497560266, G5219181452

OpenAlex ID: W2805089611

FWCI: 8.249

Cites: 36

Cited by: 154

Related to: 10