A physics-inspired model integrates mass conservation and diffusion to enable interactive boundary and intersection controls that manage congestion in simulated networks of interconnected roads.
An experimental review of reinforcement learning algorithms for adaptive traffic signal control
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Interactive Physics-Inspired Traffic Congestion Management
A physics-inspired model integrates mass conservation and diffusion to enable interactive boundary and intersection controls that manage congestion in simulated networks of interconnected roads.