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Computer Science

D-Index
40
Citations
7490
World Ranking
9246
National Ranking
27

Overview

Ana L. C. Bazzan is affiliated with the Federal University of Rio Grande do Sul in Brazil and specializes in research across multiple fields related to engineering and social sciences. Their work spans various subfields, focusing notably on control and systems engineering, transportation, building and construction, automotive engineering, and artificial intelligence.

Their research topics include:

  • Traffic control and management
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Transportation and Mobility Innovations
  • Reinforcement Learning in Robotics
  • Autonomous Vehicle Technology and Safety
  • Simulation Techniques and Applications

Some of Ana L. C. Bazzan's recent papers are:

  • Reinforcement learning in urban network traffic signal control: A systematic literature review, 2022, Expert Systems with Applications
  • Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory, 2021, Expert Systems with Applications
  • Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation, 2021, IEEE Transactions on Intelligent Transportation Systems
  • A comparative evaluation of aggregation methods for machine learning over vertically partitioned data, 2020, Expert Systems with Applications
  • Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation, 2020, Simulation Modelling Practice and Theory

The scholar frequently publishes in several venues, including:

  • arXiv (Cornell University)
  • AI Communications
  • Expert Systems with Applications
  • Computer Science and Information Systems
  • IEEE Transactions on Intelligent Transportation Systems

Ana L. C. Bazzan often collaborates with the following researchers:

  • Lucas N. Alegre
  • Monireh Abdoos
  • Bruno C. da Silva
  • Anderson Rocha Tavares

Best Publications

  • A review on agent-based technology for traffic and transportation

    Ana L. C. Bazzan;Franziska Klügl

  • A Distributed Approach for Coordination of Traffic Signal Agents

    Ana L. Bazzan

  • Balancing Training Data for Automated Annotation of Keywords: a Case Study.

    Gustavo E. A. P. A. Batista;Ana L. C. Bazzan;Maria Carolina Monard

  • Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

    Ana L. Bazzan

  • Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

    Yanhai Xiong;Jiarui Gan;Bo An;Chunyan Miao

  • Traffic light control in non-stationary environments based on multi agent Q-learning

    Monireh Abdoos;Nasser Mozayani;Ana L. C. Bazzan

  • Decision dynamics in a traffic scenario

    Joachim Wahle;Ana Lúcia C Bazzan;Franziska Klügl;Michael Schreckenberg

  • The impact of real-time information in a two-route scenario using agent-based simulation

    Joachim Wahle;Ana Lúcia C Bazzan;Franziska Klügl;Michael Schreckenberg

  • Dealing with non-stationary environments using context detection

    Bruno C. da Silva;Eduardo W. Basso;Ana L. C. Bazzan;Paulo M. Engel

  • Holonic multi-agent system for traffic signals control

    Monireh Abdoos;Nasser Mozayani;Ana L. C. Bazzan

  • Agent-Based Modeling and Simulation

    Franziska Klügl;Ana Lucia Bazzan

  • Using BDI agents to improve driver modelling in a commuter scenario

    Rosaldo J.F Rossetti;Rafael H Bordini;Ana L.C Bazzan;Sergio Bampi

  • Agents in Traffic Modelling - From Reactive to Social Behaviour

    Ana L. C. Bazzan;Joachim Wahle;Franziska Klügl

  • AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling

    Rafael H. Bordini;Ana L. C. Bazzan;Rafael de O. Jannone;Daniel M. Basso

  • Learning in groups of traffic signals

    Ana L. C. Bazzan;Denise de Oliveira;Bruno C. da Silva

  • Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence

    Janaína Schwarzrock;Iulisloi Zacarias;Ana L.C. Bazzan;Ricardo Queiroz de Araujo Fernandes

  • Evaluating the performance of DCOP algorithms in a real world, dynamic problem

    Robert Junges;Ana L. C. Bazzan

  • A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems

    Maria Amélia Lopes Silva;Sergio Ricardo de Souza;Marcone Jamilson Freitas Souza;Ana Lucia Cetertich Bazzan

  • Introduction to Intelligent Systems in Traffic and Transportation

    Ana L.C. Bazzan;Franziska Klgl

  • Diagnosis as an integral part of multi-agent adaptability

    B. Horling;V. Lesser;R. Vincent;A. Bazzan

  • Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

    Ana Bazzan;Michael Huhns;Alessio Lomuscio;Paul Scerri

  • Efficient Intention Selection in BDI Agents via Decision-Theoretic Task Scheduling

    Rafael H. Bordini;Ana L. C. Bazzan;Rafael de O. Jannone;Daniel M. Basso

Frequent Co-Authors

Rafael H. Bordini
Rafael H. Bordini Pontifical Catholic University of Rio Grande do Sul
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Sascha Ossowski
Sascha Ossowski King Juan Carlos University
Kai Nagel
Kai Nagel Technical University of Berlin
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Longbing Cao
Longbing Cao University of Technology Sydney
Michael Schreckenberg
Michael Schreckenberg University of Duisburg-Essen
Bo An
Bo An Nanyang Technological University
Rogério Margis
Rogério Margis Federal University of Rio Grande do Sul

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