Nonlinear decision rule approach for real-time traffic signal control for congestion and emission mitigation

DOI10.1007/S11067-020-09497-3OpenAlexW3034085915MaRDI QIDQ2005947

Junwoo Song, Simon Hu, Chaozhe Jiang, Ke Han

Publication date: 8 October 2020

Published in: Networks and Spatial Economics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.01244

zbMATH Keywords

neural networkscongestionemissionsnonlinear decision rulereal-time signal control

Mathematics Subject Classification ID

Computer science (68-XX) Information and communication theory, circuits (94-XX)

Cites Work

• Optimal weight design of a gear train using particle swarm optimization and simulated annealing algorithms
• A robust transportation signal control problem accounting for traffic dynamics
• Reduced carbon and energy footprint in highway operations: the highway energy assessment (HERA) methodology
• Impact of traffic management on black carbon emissions: a microsimulation study
• Dynamic optimization and differential games.
• A review of particle swarm optimization. I: Background and development
• A new particle swarm optimization for the open shop scheduling problem
• Theory and Applications of Robust Optimization

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