Carlos Lima Azevedo

According to our database, Carlos Lima Azevedo authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility.

Linlin You, Mazen Danaf, Fang Zhao, Jinping Guan, Carlos Lima Azevedo, Bilge Atasoy, Moshe E. Ben-Akiva

IEEE Trans. Intell. Transp. Syst., April, 2023

Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals.

Antoine Dubois, Carlos Lima Azevedo, Sonja Haustein, Bruno Miranda

CoRR, 2023

Applied metamodelling for ATM performance simulations.

Christoffer Riis, Francisco N. Antunes, Tatjana Bolic, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira

CoRR, 2023

Attitudes and Latent Class Choice Models using Machine learning.

Lorena Torres Lahoz, Francisco Câmara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo

CoRR, 2023

Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons.

Miguel Costa, Manuel Marques, Felix Wilhelm Siebert, Carlos Lima Azevedo, Filipe Moura

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

QTIP: Quick simulation-based adaptation of traffic model per incident parameters.

Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira

J. Simulation, 2022

Bayesian Active Learning with Fully Bayesian Gaussian Processes.

Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira

CoRR, 2022

Bayesian Active Learning with Fully Bayesian Gaussian Processes.

Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance.

Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira

CoRR, 2021

Bayesian Optimization of Area-based Road Pricing.

Renming Liu, Yu Jiang, Carlos Lima Azevedo

Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021

2020

A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas.

Giacomo Dalla Chiara, Lynette Cheah, Carlos Lima Azevedo, Moshe E. Ben-Akiva

Transp. Sci., 2020

Managing network congestion with tradable credit scheme: a trip-based MFD approach.

Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo

CoRR, 2020

2019

A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility.

Johannes Eckert, David López, Carlos Lima Azevedo, Bilal Farooq

CoRR, 2019

Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures.

Filipe Rodrigues, Carlos Lima Azevedo

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Probabilistic Safety Analysis using Traffic Microscopic Simulation.

Carlos Lima Azevedo, João L. Cardoso, Moshe E. Ben-Akiva

CoRR, 2018

Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment.

Nicholas Fournier, Siyu Chen, Isabel Hemerly Viegas de Lima, Zach Needell, Aikaterini Deliali, Andrea Araldo, A. Arun Prakash, Carlos Lima Azevedo, Eleni Christofa, Jessika E, Trancik, Moshe E. Ben-Akiva

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Simulation of demand and supply of urban rail in a multimodal environment.

Kenneth Koh, Carlos Lima Azevedo, Kakali Basak, Moshe E. Ben-Akiva

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2015

Autonomous mobility on demand in SimMobility: Case study of the central business district in Singapore.

Katarzyna Anna Marczuk, Harold Soh Soon Hong, Carlos Miguel Lima Azevedo, Muhammad Adnan, Scott Drew Pendleton, Emilio Frazzoli, Der-Horng Lee

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Using Extreme Value Theory for the Prediction of Head-On Collisions During Passing Maneuvres.

Carlos Lima Azevedo, Haneen Farah

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models.

Biagio Ciuffo, Carlos Lima Azevedo

IEEE Trans. Intell. Transp. Syst., 2014

2013

Modeling reaction time within a traffic simulation model.

Kakali Basak, Seth N. Hetu, Zhemin Li, Carlos Lima Azevedo, Harish Loganathan, Tomer Toledo, Runmin Xu, Yan Xu, Li-Shiuan Peh, Moshe E. Ben-Akiva

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013