Work

Optimizing lane reversals in transportation networks to reduce traffic congestion: A global optimization approach

Year: 2022

Type: article

Source: Transportation Research Part C Emerging Technologies

DOI: 10.1016/j.trc.2022.103840

Authors: Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras

Institution: Boston University

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: bronze

Funders: National Science Foundation, U.S. Department of Energy, Qatar Foundation, Fonds National de la Recherche Luxembourg, National Institutes of Health, Qatar National Research Fund, Office of Naval Research, National Institute of General Medical Sciences, Division of Electrical, Communications and Cyber Systems, Air Force Office of Scientific Research

Awards: NEW AWARD DE-EE0009696 PROJECT TITLED: ''HIGH-FIDELITY SELF-LEARNING TOOL FOR RESIDENTIAL LOAD AND LOAD FLEXIBILITY FORECASTING'', G1291554817, G1523888516, Decentralized optimal control of cooperating networked multi-agent systems, G2463915868, CPS: Breakthrough: A Dynamic Optimization Framework for Connected Automated Vehicles in Urban Environments, QuBBD: From Personalized Predictions to Better Control of Chronic Health Conditions, G3024551116, Optimizing and Learning Strategies for Protein Docking , G6098521345, SCH: INT: Distributed Analytics for Enhancing Fertility in Families, G7775261206, A NEW RISK ASSESSMENT AND MANAGEMENT PARADIGM (NEWRAMP) IN ELECTRICITY MARKETS, G8876996369

OpenAlex ID: W4293763785

FWCI: 2.099

Cites: 45

Cited by: 18

Related to: 10