Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Optimal design of traffic signal controller using neural networks and fuzzy logic systems
Holonic multi-agent system for traffic signals control
Approximating the Solution of Optimal Control Problems by Fuzzy Systems
Freeway Travel Time Prediction Using Takagi-Sugeno-Kang Fuzzy Neural Network
POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction
Integrating driving behavior and traffic context through signal symbolization
Control design of an automated highway system
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
A reinforcement learning based traffic signal control algorithm in a connected vehicle environment
Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption
An Optimal Fuzzy Logic Guidance Law using Particle Swarm Optimization
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
Organic Control of Traffic Lights
Techniques for Smart Traffic Control: An In-depth Review
Various Strategies for Optimizing Traffic Lights : A Review
Framework for control and deep reinforcement learning in traffic
Intelligent Traffic Control System
A modular Petri net to modeling and scenario analysis of a network of road traffic signals
Multiagent traffic management: an improved intersection control mechanism
An improved type-2 fuzzy logic controller design based on genetic algorithm
FPGA-Based Dual-Mode Traffic Lights System Design
Optimization by simulated annealing
Percutaneous left ventricular support devices.
A comparison of c-store and row-store in a common framework
A high speed soft robot based on dielectric elastomer actuators
The 12-Core POWER8™ Processor With 7.6 Tb/s IO Bandwidth, Integrated Voltage Regulation, and Resonant Clocking