Technion - Israel Institute of Technology

MoCA Lab

Mobility Computation & Analytics Laboratory

We study how people, platforms, and policies interact in mobility systems,
building models and tools for efficient, fair, and human-centered transportation.

Research areas

Behavioral foundations

Choice modeling

We study how travelers and platforms make decisions, modeling preferences, constraints, and rich patterns of substitution and heterogeneity in a way that is flexible, scalable, and consistent with real-world behavior.

Mobility systems

Equilibrium & Learning

We study sequential decision-making, repeated interactions, and adaptive behaviors to understand how behavior evolves over time, and how system-level behaviors emerge when many agents interact.

Information & AI

Platform-mediated mobility

We study how digital platforms, information, guidance, and AI assistants influence mobility choices and system outcomes, and how human and algorithmic decision-makers coexist in mobility networks.

Our Projects

Open

Seeking: Graduate students (PhD/MSc)

Privacy-preserving mobility choice modeling

Mobility data is powerful, but it is also sensitive. Cities and platforms increasingly want to learn how people travel while protecting privacy. This project will develop methods that allow us to obtain meaningful behavioral insights via structural spatiotemporal choice models, meanwhile ensuring privacies are protected.

Ongoing

Information and choice: how pushed information changes decisions

Navigation apps and platforms do not just show information. They increasingly push recommendations and alerts, sometimes simple, sometimes personalized. This project studies how such information ultimately change how people choose where, when, and how to travel.

Open

Seeking: Graduate students (PhD/MSc)

Designing information in mobility systems

When many travelers respond to the same guidance (e.g., route recommendations), the outcome is not simply everyone gets faster routes. Their responses interact through congestion in mobility systems. This project develops system-level models and algorithms for information design: how agencies or platforms should structure guidance so that the whole network performs better, not just individual trips.

Open

Seeking: Research assistants / Master students

Privacy-preserving data and experimentation platform

Many important mobility questions cannot be answered without careful data collection and controlled experiments. This project develops a privacy-preserving platform that supports safe mobility data collection and, later, controlled studies of information interventions.

All projects →

News

October 2026

Yujue Wang receives ISTRC Scholarship

Congratulations to Yujue Wang on receiving the prestigious scholarship from the Israeli Smart Transportation Research Center (ISTRC) in recognition of her research in smart transportation. Well deserved, Yujue!

October 2026

MoCA Lab debuts at hEART 2026

MoCA made its first hEART appearance at hEART 2026 in Paris. Yujue Wang presented our work on rational inattention under pushed information, alongside our recent work on Markovian perturbed utility models for route-choice estimation and traffic equilibrium, and collaborative research on ridesharing participation. Many thanks to Mogens Fosgerau, Kenan Zhang, Einat Tenenboim, Inbal Glickman, Shlomo Bekhor, and Yoram Shiftan. Congratulations also to Yujue on receiving the prestigious ISTRC Scholarship!

July 2026

Presentations at ISTTT26 and INFORMS TSL 2026

Prof. Rui Yao presented our work on strategic interactions in Mobility-as-a-Service systems at ISTTT26 in Munich and our work on Markovian perturbed utility traffic assignment at the INFORMS Transportation Science and Logistics Conference at MIT. Many thanks to our collaborators Xinyu Ma and Kenan Zhang!

March 2026

Welcome Yujue Wang to MoCA Lab

We are delighted to welcome Yujue Wang to MoCA Lab as a new graduate student at the Technion. Yujue will work on behavioral modeling, information, and decision-making in transportation systems. Welcome to the team!

December 10, 2025

Presentation at the CDC 2025

We presented our integrated equilibrium model between e-logistics and power systems at the 64th IEEE Conference on Decision and Control (CDC 2025).

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