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ORCIDCarlos Lima Azevedo
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- affiliation: Technical University of Denmark, Lyngby, Denmark
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2020 – today
- 2024
[i13]Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto, Bianca Pascariu, Paola Pellegrini, Carlos Lima Azevedo, Filipe Rodrigues:
Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning. CoRR abs/2408.15619 (2024)- 2023
- [j4]Linlin You
, Mazen Danaf, Fang Zhao, Jinping Guan, Carlos Lima Azevedo, Bilge Atasoy, Moshe E. Ben-Akiva:
A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility. IEEE Trans. Intell. Transp. Syst. 24(4): 4060-4074 (2023) - [c9]Miguel Costa, Manuel Marques, Felix Wilhelm Siebert, Carlos Lima Azevedo, Filipe Moura:
Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons. ITSC 2023: 4046-4051 - [i12]Lorena Torres Lahoz, Francisco Câmara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo:
Attitudes and Latent Class Choice Models using Machine learning. CoRR abs/2302.09871 (2023) - [i11]Miguel Costa, Manuel Marques, Felix Wilhelm Siebert, Carlos Lima Azevedo, Filipe Moura:
Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons. CoRR abs/2307.13397 (2023) - [i10]Christoffer Riis, Francisco N. Antunes, Tatjana Bolic, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira:
Applied metamodelling for ATM performance simulations. CoRR abs/2308.03404 (2023) - [i9]Antoine Dubois, Carlos Lima Azevedo, Sonja Haustein, Bruno Miranda:
Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals. CoRR abs/2308.09013 (2023) - 2022
- [j3]Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira:
QTIP: Quick simulation-based adaptation of traffic model per incident parameters. J. Simulation 16(2): 111-131 (2022) - [c8]Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira:
Bayesian Active Learning with Fully Bayesian Gaussian Processes. NeurIPS 2022 - [i8]Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira:
Bayesian Active Learning with Fully Bayesian Gaussian Processes. CoRR abs/2205.10186 (2022) - 2021
- [c7]Renming Liu, Yu Jiang, Carlos Lima Azevedo:
Bayesian Optimization of Area-based Road Pricing. MT-ITS 2021: 1-6 - [i7]Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira:
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. CoRR abs/2109.12042 (2021) - 2020
- [j2]Giacomo Dalla Chiara, Lynette Cheah, Carlos Lima Azevedo, Moshe E. Ben-Akiva:
A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas. Transp. Sci. 54(3): 606-630 (2020) - [i6]Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira:
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters. CoRR abs/2003.04109 (2020) - [i5]Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo:
Managing network congestion with tradable credit scheme: a trip-based MFD approach. CoRR abs/2009.06965 (2020) - [i4]Renming Liu, Yu Jiang, Carlos Lima Azevedo:
Bayesian Optimization of Area-based Road Pricing. CoRR abs/2012.11047 (2020)
2010 – 2019
- 2019
- [c6]Filipe Rodrigues, Carlos Lima Azevedo:
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. ITSC 2019: 3559-3566 - [i3]Filipe Rodrigues, Carlos Lima Azevedo:
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. CoRR abs/1904.08353 (2019) - [i2]Johannes Eckert, David López, Carlos Lima Azevedo, Bilal Farooq:
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. CoRR abs/1908.05629 (2019) - 2018
- [c5]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:
Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. ITSC 2018: 2277-2282 - [i1]Carlos Lima Azevedo, João L. Cardoso, Moshe E. Ben-Akiva:
Probabilistic Safety Analysis using Traffic Microscopic Simulation. CoRR abs/1810.04776 (2018) - 2017
- [c4]Kenneth Koh, Carlos Lima Azevedo, Kakali Basak, Moshe E. Ben-Akiva:
Simulation of demand and supply of urban rail in a multimodal environment. ITSC 2017: 647-654 - 2015
- [c3]Carlos Lima Azevedo, Haneen Farah:
Using Extreme Value Theory for the Prediction of Head-On Collisions During Passing Maneuvres. ITSC 2015: 268-273 - [c2]Katarzyna Anna Marczuk, Harold Soh Soon Hong, Carlos Miguel Lima Azevedo, Muhammad Adnan, Scott Drew Pendleton, Emilio Frazzoli, Der-Horng Lee:
Autonomous mobility on demand in SimMobility: Case study of the central business district in Singapore. RAM/CIS 2015: CIS:167-172 - 2014
- [j1]Biagio Ciuffo, Carlos Lima Azevedo:
A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models. IEEE Trans. Intell. Transp. Syst. 15(3): 1298-1309 (2014) - 2013
- [c1]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:
Modeling reaction time within a traffic simulation model. ITSC 2013: 302-309
Coauthor Index
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