Work

A Review of Online Dynamic Models and Algorithms for Railway Traffic Management

Year: 2015

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2014.2358392

Authors: Francesco Corman, Lingyun Meng

Institutions: Delft University of Technology, KU Leuven, Beijing Jiaotong University

Language: English

Topic: Railway Systems and Energy Efficiency

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety

OpenAlex ID: W2018855219

FWCI: 25.24

Cites: 74

Cited by: 262

Related to: 10