Work

Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm

Year: 2021

Type: conference-paper

Source: IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI)

DOI: 10.1109/dtpi52967.2021.9540082

Authors: Zhishuai Li, Gang Xiong, Yu Zhang, Meng Zheng, Xisong Dong, Yisheng Lv

Institutions: Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Cloud Computing Center

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

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

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G2731877501, G8437436018

OpenAlex ID: W3204590106

FWCI: 3.01

Cites: 17

Cited by: 8

Related to: 10