Neural Networks for Real-Time Traffic Signal Control

By Dipti Srinivasan, Min Chee Choy, Ruey Long Cheu. IEEE transactions on intelligent transportation systems (Print), 2006

377 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/dadcab5571ba38a76bc85e6bbd21f4ddb0cb1e3a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Shalabh Bhatnagar
2. P. Balaji
3. Dipti Srinivasan

In Control and Systems Engineering

1. Shalabh Bhatnagar
2. P. Balaji
3. Dipti Srinivasan

In Transportation

1. Shalabh Bhatnagar
2. P. Balaji
3. Dipti Srinivasan

Citations in the corpus

• An Introduction to Multi-Agent Systems (2010, methodology): “In [57], evolutionary methods combined with neural networks have been employed to dynamically compute the level of cooperation required between the agents.”
• Reinforcement Learning With Function Approximation for Traffic Signal Control (2011, methodology): “In [6], a NN-based traffic signal control approach in a multiagent system is presented and compared against an existing traffic control algorithm, and an SPSA-NN multiagent traffic control method is developed.”