Carlos Lima Azevedo

35 papers A* 1C 1Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Beyond the Vehicle Routing Problem: Design of Temporal Networks for Demand-Responsive Transport. ICORES Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues, Carlos Lima Azevedo, Andrea Araldo
2026	J	`jnl`	Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions. Comput. Ind. Eng. Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto, Bianca Pascariu, Paola Pellegrini, Carlos Lima Azevedo, Filipe Rodrigues
2026	J	`jnl`	Spatio-temporal graph neural network for urban spaces: Interpolating citywide traffic volume. Expert Syst. Appl. Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo, Lynn H. Kaack
2025	J	`jnl`	Assessing the impacts of tradable credit schemes through agent-based simulation. CoRR Renming Liu, Dimitrios Argyros, Yu Jiang, Moshe E. Ben-Akiva, Ravi Seshadri, Carlos Lima Azevedo
2025	J	`jnl`	Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes. CoRR Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues, Carlos Lima Azevedo
2025	J	`jnl`	Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study. CoRR Dang Viet Anh Nguyen, Carlos Lima Azevedo, Tomer Toledo, Filipe Rodrigues
2025	J	`jnl`	Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress. CoRR Lorena Torres Lahoz, Carlos Lima Azevedo, Leonardo Ancora, Paulo Morgado, Zenia Kotval, Bruno Miranda, Francisco Câmara Pereira
2025	J	`jnl`	Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume. CoRR Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo, Lynn H. Kaack
2025	J	`jnl`	Which Cycling Environment Appears Safer? Learning Cycling Safety Perceptions From Pairwise Image Comparisons. IEEE Trans. Intell. Transp. Syst. Miguel Costa, Manuel Marques, Carlos Lima Azevedo, Felix Wilhelm Siebert, Filipe Moura
2024	J	`jnl`	Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning. CoRR Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto, Bianca Pascariu, Paola Pellegrini, Carlos Lima Azevedo, Filipe Rodrigues
2024	J	`jnl`	Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons. CoRR Miguel Costa, Manuel Marques, Carlos Lima Azevedo, Felix Wilhelm Siebert, Filipe Moura
2023	J	`jnl`	A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility. IEEE Trans. Intell. Transp. Syst. Linlin You, Mazen Danaf, Fang Zhao, Jinping Guan, Carlos Lima Azevedo, Bilge Atasoy, Moshe E. Ben-Akiva
2023	J	`jnl`	Applied metamodelling for ATM performance simulations. CoRR Christoffer Riis, Francisco N. Antunes, Tatjana Bolic, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira
2023	J	`jnl`	Attitudes and Latent Class Choice Models using Machine learning. CoRR Lorena Torres Lahoz, Francisco Câmara Pereira, Georges Sfeir, Ioanna Arkoudi, Mayara Moraes Monteiro, Carlos Lima Azevedo
2023	J	`jnl`	Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals. CoRR Antoine Dubois, Carlos Lima Azevedo, Sonja Haustein, Bruno Miranda
2023	—	`conf`	Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons. ITSC Miguel Costa, Manuel Marques, Felix Wilhelm Siebert, Carlos Lima Azevedo, Filipe Moura
2023	J	`jnl`	Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons. CoRR Miguel Costa, Manuel Marques, Felix Wilhelm Siebert, Carlos Lima Azevedo, Filipe Moura
2022	A*	`conf`	Bayesian Active Learning with Fully Bayesian Gaussian Processes. NeurIPS Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira
2022	J	`jnl`	Bayesian Active Learning with Fully Bayesian Gaussian Processes. CoRR Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira
2022	J	`jnl`	QTIP: Quick simulation-based adaptation of traffic model per incident parameters. J. Simulation Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
2021	—	`conf`	Bayesian Optimization of Area-based Road Pricing. MT-ITS Renming Liu, Yu Jiang, Carlos Lima Azevedo
2021	J	`jnl`	Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance. CoRR Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira
2020	J	`jnl`	A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas. Transp. Sci. Giacomo Dalla Chiara, Lynette Cheah, Carlos Lima Azevedo, Moshe E. Ben-Akiva
2020	J	`jnl`	Bayesian Optimization of Area-based Road Pricing. CoRR Renming Liu, Yu Jiang, Carlos Lima Azevedo
2020	J	`jnl`	Managing network congestion with tradable credit scheme: a trip-based MFD approach. CoRR Renming Liu, Siyu Chen, Yu Jiang, Ravi Seshadri, Moshe E. Ben-Akiva, Carlos Lima Azevedo
2020	J	`jnl`	QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters. CoRR Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo, Francisco C. Pereira
2019	J	`jnl`	A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. CoRR Johannes Eckert, David López, Carlos Lima Azevedo, Bilal Farooq
2019	—	`conf`	Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. ITSC Filipe Rodrigues, Carlos Lima Azevedo
2019	J	`jnl`	Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. CoRR Filipe Rodrigues, Carlos Lima Azevedo
2018	—	`conf`	Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment. ITSC 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
2018	J	`jnl`	Probabilistic Safety Analysis using Traffic Microscopic Simulation. CoRR Carlos Lima Azevedo, João L. Cardoso, Moshe E. Ben-Akiva
2017	—	`conf`	Simulation of demand and supply of urban rail in a multimodal environment. ITSC Kenneth Koh, Carlos Lima Azevedo, Kakali Basak, Moshe E. Ben-Akiva
2015	—	`conf`	Using Extreme Value Theory for the Prediction of Head-On Collisions During Passing Maneuvres. ITSC Carlos Lima Azevedo, Haneen Farah
2014	J	`jnl`	A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models. IEEE Trans. Intell. Transp. Syst. Biagio Ciuffo, Carlos Lima Azevedo
2013	—	`conf`	Modeling reaction time within a traffic simulation model. ITSC 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