Contextual Bayesian Optimization of Congestion Pricing with Day-to-Day Dynamics
Renming Liu, Yu Jiang, Ravi Seshadri, Moshe Ben-Akiva, Carlos Azevedo
Transportation Research Part A: Policy And Practice, vol. 179, 2024, p. .

Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
Ioanna Arkoudi, Rico Krueger, Carlos Azevedo, Francisco C. Pereira
Transportation Research: Part B, vol. 175, 2023, p. 1-21.

Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach
Bat-hen Nahmias-Biran , Jimi B. Oke, Nishant Kumar, Carlos Azevedo, Moshe Ben-Akiva
Transportation, vol. 48, 2021, p. 1613-1638.

Integrated Population Synthesis and Workplace Assignment Using an Efficient Optimization-Based Person-Household Matching Method
Nicholas Fournier, Eleni Christofa , Arun Prakash Akkinepally, Carlos Azevedo
Transportation, vol. 48, 2021, p. 1061-1087.

Assessing the Impacts of Automated Mobility-on-Demand through Agent-Based Simulation: A Study of Singapore
Simon Oh, Ravi Seshadri, Carlos Azevedo, Nishant Kumar, Kakali Basak , Moshe Ben-Akiva
Transportation Research Part A: Policy And Practice, vol. 138, 2020, p. 367-388.

Evaluating the Systemic Effects of Automated Mobility-on-Demand Services via Large-Scale Agent-Based Simulation of Auto-dependent Prototype Cities
Jimi B. Oke, Arun Prakash Akkinepally, Siyu Chen, Yifei Xie, Youssef M. Aboutaleb, Carlos Azevedo
Transportation Research Part A: Policy And Practice, vol. 140, 2020, p. 98-126.

Behavioral Modeling of On-Demand Mobility Services: General Framework and Application to Sustainable Travel Incentives
Yifei Xie, Mazen Danaf , Carlos Azevedo, Arun Prakash Akkinepally, Bilge Atasoy, Kyungsoo Jeong
Transportation, vol. 46, 2019, p. 2017-2039.

Papers presented at the Transportation Research Board (TRB) 94th Annual Meeting, Washington, D.C., January 11-15, 2015.
Taha Rashidi, Carlos Azevedo
Transportation, vol. 43, 2016, p. 951-953.