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 (ITSC, 2013)

A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models. - Biagio Ciuffo; Carlos Lima Azevedo (IEEE Trans. Intell. Transp. Syst., 2014)

Using Extreme Value Theory for the Prediction of Head-On Collisions During Passing Maneuvres. - Carlos Lima Azevedo; Haneen Farah (ITSC, 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 003; Scott Drew Pendleton; Emilio Frazzoli; Der-Horng Lee (RAM/CIS, 2015)

Simulation of demand and supply of urban rail in a multimodal environment. - Kenneth Koh; Carlos Lima Azevedo; Kakali Basak; Moshe E. Ben-Akiva (ITSC, 2017)

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 (ITSC, 2018)

Probabilistic Safety Analysis using Traffic Microscopic Simulation. - Carlos Lima Azevedo; João L. Cardoso; Moshe E. Ben-Akiva (CoRR, 2018)

Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures. - Filipe Rodrigues 001; Carlos Lima Azevedo (ITSC, 2019)

A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. - Johannes Eckert; David López 003; Carlos Lima Azevedo; Bilal Farooq (CoRR, 2019)

Managing network congestion with tradable credit scheme: a trip-based MFD approach. - Renming Liu; Siyu Chen; Yu Jiang 002; Ravi Seshadri; Moshe E. Ben-Akiva; Carlos Lima Azevedo (CoRR, 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)

Bayesian Optimization of Area-based Road Pricing. - Renming Liu; Yu Jiang 002; Carlos Lima Azevedo (MT-ITS, 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 Active Learning with Fully Bayesian Gaussian Processes. - Christoffer Riis; Francisco Antunes; Frederik Boe Hüttel; Carlos Lima Azevedo; Francisco Pereira 002 (NeurIPS, 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)

Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons. - Miguel Costa 001; Manuel Marques; Felix Wilhelm Siebert; Carlos Lima Azevedo; Filipe Moura (ITSC, 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)

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)

Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals. - Antoine Dubois; Carlos Lima Azevedo; Sonja Haustein; Bruno Miranda (CoRR, 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., 2023)

Large-Scale Demand Prediction in Urban Rail using Multi-Graph Inductive Representation Learning. - Dang Viet Anh Nguyen; J. Victor Flensburg; Fabrizio Cerreto; Bianca Pascariu; Paola Pellegrini; Carlos Lima Azevedo; Filipe Rodrigues 001 (CoRR, 2024)

Assessing the impacts of tradable credit schemes through agent-based simulation. - Renming Liu; Dimitrios Argyros; Yu Jiang 002; Moshe E. Ben-Akiva; Ravi Seshadri; Carlos Lima Azevedo (CoRR, 2025)

Which Cycling Environment Appears Safer? Learning Cycling Safety Perceptions From Pairwise Image Comparisons. - Miguel Costa 001; Manuel Marques; Carlos Lima Azevedo; Felix Wilhelm Siebert; Filipe Moura (IEEE Trans. Intell. Transp. Syst., 2025)

Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress. - Lorena Torres Lahoz; Carlos Lima Azevedo; Leonardo Ancora; Paulo Morgado; Zenia Kotval; Bruno Miranda; Francisco Câmara Pereira (CoRR, 2025)

Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes. - Xiaoyi Wu; Ravi Seshadri; Filipe Rodrigues 001; Carlos Lima Azevedo (CoRR, 2025)

Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume. - Silke K. Kaiser; Filipe Rodrigues 001; Carlos Lima Azevedo; Lynn H. Kaack (CoRR, 2025)

Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study. - Dang Viet Anh Nguyen; Carlos Lima Azevedo; Tomer Toledo; Filipe Rodrigues 001 (CoRR, 2025)