Work

Minimizing energy consumption from connected signalized intersections by reinforcement learning

Year: 2018

Type: conference-paper

Source: International Conference on Intelligent Transportation Systems

DOI: 10.1109/itsc.2018.8569891

Authors: S.M.A. Bin Al Islam, H M Abdul Aziz, Hong Wang, Stanley E. Young

Institutions: Washington State University, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, National Laboratory of the Rockies

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Sustainable cities and communities

Open Access status: closed

Funders: U.S. Department of Energy, Vehicle Technologies Office

OpenAlex ID: W2905045239

FWCI: 2.63

Cites: 39

Cited by: 17

Related to: 10