A genetic timing scheduling model for urban traffic signal control

Traffic Signal Control Using Genetic Decomposed Fuzzy Systems

(2020) Runmei Li et al.   International Journal of Fuzzy Systems

Carbon dioxide emission in a single-lane cellular automaton model with a series of traffic lights

(2020) H. Binoua et al.   INTERNATIONAL JOURNAL OF MODERN PHYSICS C

Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks

(2020) Tong Wu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Network-Level Coordinated Speed Optimization and Traffic Light Control for Connected and Automated Vehicles

(2020) Mehrdad Tajalli et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Reinforcement learning in learning automata and cellular learning automata via multiple reinforcement signals

(2019) Reza Vafashoar et al.   KNOWLEDGE-BASED SYSTEMS

Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting

(2019) Shifen Cheng et al.   KNOWLEDGE-BASED SYSTEMS

A data-driven bi-level program for knowledge-based signal control system under uncertainty

(2018) Suh-Wen Chiou   KNOWLEDGE-BASED SYSTEMS

IQGA: A route selection method based on quantum genetic algorithm- toward urban traffic management under big data environment

(2018) Yuefei Tian et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks

(2018)   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Dynamic Eco-Driving's Fuel Saving Potential in Traffic: Multi-Vehicle Simulation Study Comparing Three Representative Methods

(2017) Danielle Fredette et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An efficient parallel processing method for skyline queries in MapReduce

(2017) Junsu Kim et al.   JOURNAL OF SUPERCOMPUTING

A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem

(2017) Zhile Yang et al.   KNOWLEDGE-BASED SYSTEMS

An urban traffic simulation model for traffic congestion predicting and avoiding

(2016) Wenbin Hu et al.   NEURAL COMPUTING & APPLICATIONS

A quantum particle swarm optimization driven urban traffic light scheduling model

(2016) Wenbin Hu et al.   NEURAL COMPUTING & APPLICATIONS

A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers

(2015) Mario Collotta et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cooperative Adaptive Cruise Control: A Reinforcement Learning Approach

(2011) C. Desjardins et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Reinforcement Learning With Function Approximation for Traffic Signal Control

(2010) Prashanth LA et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Cellular particle swarm optimization

(2010) Yang Shi et al.   INFORMATION SCIENCES

Evaluation of travel demand strategies: a microscopic traffic simulation approach

(2010) Y. Zhao et al.   TRANSPORTATION

Traffic Signal Optimization in “La Almozara” District in Saragossa Under Congestion Conditions, Using Genetic Algorithms, Traffic Microsimulation, and Cluster Computing

(2009) J.J. Sanchez-Medina et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms

(2009) Ricardo Martínez et al.   INFORMATION SCIENCES