Our projects develop computational and AI methods for adaptive mobility systems under deep uncertainty. They connect fundamental methodological questions with real-world applications in public transport, rail systems, traffic operations, digital twins, and decision support.
Featured Projects
AgentTravel: Agentic large language modeling for transport planning under deep uncertainties
This project explores how agentic large language models can support transport planning in contexts shaped by behavioural change and uncertain futures. It focuses on adaptive behavioural representation and AI-enabled planning for mobility systems.
Role: PI | Funder: KTH Central | Amount: SEK 4M | Years: 2026-2030 | Theme: Adaptive Mobility under Deep Uncertainty; AI for Mobility Knowledge and Decision Support
DMDU4LDT: From forecast to foresight: Decision making under deep uncertainty for long-distance transport planning
This project develops methods that move beyond forecast-based planning toward adaptive and uncertainty-aware approaches for long-distance transport systems. It focuses on supporting transport planning under deep uncertainty.
Role: PI | Funder: Swedish Transport Administration | Amount: SEK 3.9M | Years: 2024-2027 | Theme: Adaptive Mobility under Deep Uncertainty
T-Twin: Digital Twin Sandbox for Network-Level Traffic Control
This project develops a digital twin sandbox for integrated motorway and urban traffic control. It combines monitoring, forecasting, simulation, and intelligent decision support for adaptive traffic operations.
Role: PI | Funder: Swedish Transport Administration | Amount: SEK 3.65M | Years: 2026-2028 | Theme: Digital Twins and System Intelligence
SAFE-MOVE: A pre-study digital-twin sandbox for resilient urban traffic signal control
This project explores the foundations for a human-in-the-loop digital twin sandbox for resilient urban traffic signal control. It focuses on digital infrastructure, supervision, and adaptive control concepts for future urban operations.
Role: PI | Funder: Digital Futures | Amount: SEK 500K | Years: 2026 | Theme: Digital Twins and System Intelligence
Research Pillars
Adaptive Mobility under Deep Uncertainty
We study how mobility systems evolve under disruption, behavioural change, and uncertain futures. This pillar focuses on adaptation in travel demand, system performance, and planning decisions, aiming to support more robust and flexible mobility systems.
Selected projects: AgentTravel; DMDU4LDT; ComputingPolicy; CIML4MOB; cAIMBER; COMPASS
Digital Twins and System Intelligence
We develop digital twins and intelligent system models for monitoring, forecasting, simulation, control, and decision support in mobility systems. This pillar focuses on how data, sensing, and system intelligence can support more adaptive planning and operations.
Selected projects: SAFE-MOVE; T-Twin; SPOT-Rail; GEMINI; DIRAC
AI for Mobility Knowledge and Decision Support
We explore AI methods for knowledge extraction, scientific discovery, behavioural modelling, and decision support in mobility systems. This includes large language models, knowledge graphs, and machine learning approaches for planning and policy analysis.
Selected projects: AgentTravel; AgentVision; ComputingPolicy; MKG; CIML4MOB; SynTrip
Application Domains
Public Transport and Rail Systems
We apply our methods to public transport and railway systems, focusing on operations, reliability, disruption management, passenger information, service design, and digital transformation.
Selected projects:
SynTrip; MAST; CrowdFlow; Personalization; iEptSim; COMPASS; REPORT; SPOT-Rail
Traffic Systems and Network Operations
We study urban traffic and motorway systems using data, simulation, digital twins, and AI-based methods for monitoring, forecasting, control, and network-level operations.
Selected projects:
SAFE-MOVE; T-Twin; BUS; GEMINI; DIRAC
All Projects by Year
2026
AgentTravel: Agentic large language modeling for transport planning under deep uncertainties
Role: PI | Funder: KTH Central | Amount: SEK 4M | Years: 2026–2030 | Tags: Adaptive Mobility, AI, Planning under Uncertainty
T-Twin: Digital Twin Sandbox for Network-Level Traffic Control
Role: PI | Funder: Swedish Transport Administration | Amount: SEK 3.65M | Years: 2026–2028 | Tags: Digital Twins, Traffic Systems, Network Operations
SAFE-MOVE: A pre-study digital-twin sandbox for resilient urban traffic signal control
Role: PI | Funder: Digital Futures | Amount: SEK 500K | Years: 2026 | Tags: Digital Twins, Traffic Systems, Urban Operations
SPOT-Rail: Cross-System Simulator for Planning and Operations in Tomorrow’s Railways
Role: Co-PI | Funder: Digital Futures | Amount: SEK 2M | Years: 2026–2027 | Tags: Rail, Digital Twins, Operations
AgentVision: Video-Language Agent for Robust Environmental Perception in Autonomous Driving
Role: PI | Funder: Digital Futures | Amount: SEK 2M | Years: 2026–2027 | Tags: AI, Perception, Intelligent Transport Systems
SynTrip: Privacy-preserving Synthetic Trip Generation in Public Transport
Role: PI | Funder: Region Stockholm | Amount: SEK 1.6M | Years: 2026–2028 | Tags: AI, Public Transport, Synthetic Data
2025
DT Sandbox for Urban Traffic Control: Roadmap and Prototype
Role: PI | Funder: TRENoP strategic research funding | Amount: SEK 800K | Years: 2025–2026 | Tags: Digital Twins, Traffic Systems
MAST: Maskininlärningsbaserad robust tidtabelläggning för taktisk tåglägsplanering
Role: Co-PI | Funder: Swedish Transport Administration | Amount: SEK 1.8M | Years: 2025–2026 | Tags: Rail, AI, Scheduling
BUS: Bullermiljökonsekvensanalys av UAM i Stockholm
Role: Researcher | Funder: Swedish Transport Administration | Amount: SEK 4.0M | Years: 2025–2027 | Tags: Flight, Noise, Environment, Health
Rethinking public transport contracts: towards value-based KPIs for reliable bus services
Role: PI | Funder: K2 Swedish National Center for Public Transport | Amount: SEK 600K | Years: 2025–2026 | Tags: Public Transport, Policy, Performance Evaluation
CrowdFlow: Crowding data collection and origin-destination data estimation using BLE scanning
Role: Co-PI | Funder: EIT Urban Mobility Main Innovation Grant | Amount: EURO 150K | Years: 2025–2026 | Tags: Public Transport, Data Collection, Passenger Flow
Remote Operation of Automated Vehicles: Legal, Technical, and Operational Challenges
Role: Co-PI | Funder: KTH ITRL | Amount: SEK 300K | Years: 2025–2026 | Tags: Automated Vehicles, Operations, Urban Systems
Smart cities – Pathways through experimentation, Research and regulatory Exploration towards sustainability (SPHERE)
Role: Co-PI | Funder: KTH Central | Amount: SEK 1M | Years: 2025–2026 | Tags: Smart Cities, Urban Systems, Digital Infrastructure
2024
DMDU4LDT: From forecast to foresight: Decision making under deep uncertainty for long-distance transport planning
Role: PI | Funder: Swedish Transport Administration | Amount: SEK 3.9M | Years: 2024–2027 | Tags: Deep Uncertainty, Planning, Adaptive Mobility
ComputingPolicy: LLM for transport policy making
Role: PI | Funder: CSC and Karl Engvers foundation | Amount: SEK 1.8M | Years: 2024–2028 | Tags: AI, Policy, Deep Uncertainty
CIML4MOB: Causally informed machine learning for individual mobility dynamics
Role: PI | Funder: Digital Futures | Amount: SEK 2.0M | Years: 2024–2026 | Tags: AI, Causal Inference, Mobility Behaviour
Personalized proactive provision of travel information in public transport
Role: Co-PI | Funder: Region Stockholm | Amount: SEK 1.6M | Years: 2024–2026 | Tags: Public Transport, Passenger Information, Behaviour
2023
COMPASS: Choice Modeling for Policy Decision Support Towards Attractive, Reliable, and Efficient Public Transport Systems
Role: Co-PI | Funder: Swedish Transport Administration | Amount: SEK 4.0M | Years: 2023–2026 | Tags: Public Transport, Behaviour, Policy
cAIMBER: Causal artificial intelligence for human mobility behavior analysis using trajectory data
Role: PI | Funder: Digital Future Research Pairs | Amount: SEK 2.0M | Years: 2023–2025 | Tags: AI, Causal Inference, Mobility Behaviour
iEptSim: Integrated Electric Public Transport Simulation
Role: PI | Funder: Region Stockholm | Amount: SEK 1.6M | Years: 2023–2025 | Tags: Public Transport, Electrification, Simulation
Dispatching: Use of hybrid methods to enhance real-time railway traffic control
Role: Co-PI | Funder: Unite! Seed Funding, European Commission | Amount: EURO 80K | Years: 2023–2024 | Tags: Rail, Control, Operations
GEMINI: DiGital twin for Emission MonItoring aNd predIction – Kista Case
Role: PI | Funder: Senseable Stockholm Lab | Amount: SEK 3.0M | Years: 2023–2024 | Tags: Digital Twins, Traffic Systems, Emissions
DIRAC: DynamIc uRban roAd trafiC noise simulation model using passive and publicly available data
Role: PI | Funder: Digital Future Demonstrator | Amount: SEK 2.0M | Years: 2023–2025 | Tags: Traffic Systems, Urban Analytics, Simulation
2022 and Earlier
REPORT: utväRdEring ankomstPrOgnoser föR Tåg (Evaluation of Train Arrival Forecasts)
Role: Co-PI | Funder: Swedish Transport Administration | Amount: SEK 1.2M | Years: 2022–2023 | Tags: Rail, Forecasting, Performance Evaluation
Data-Driven Analytic and Modeling Approaches for Mass Transport in Cities
Role: PI | Funder: UCL Cities Partnerships Seed Program | Amount: SEK 50K | Years: 2022 | Tags: Public Transport, Urban Analytics
MKG: Mobility Knowledge Graph and Applications in Transportation
Role: Supervisor| Funder: CSC and Karl Engvers Foundation | Amount: SEK 1.8M | Years: 2021–2025 | Tags: AI, Knowledge Graphs, Transportation