Research center
established by:

KTH, Stockholm University and RISE

Zhenliang Ma

Associate Professor in Traffic Engineering, Division of Transport Planning at KTH, ABE School, PI of project DIRAC: DynamIc uRban roAd traffiC noise simulation model using passive and publicly available data, PI of project: AgentVision: Video-Language Agent for Robust Environmental Perception in Autonomous Driving, Co-PI of project cAIMBER: Causal Artificial Intelligence for Human Mobility Behavior Analysis Using Trajectory Data, Digitalized Industry Working Group, Digital Futures Faculty

+46 8 790 48 14

zhema@kth.se

Profile

A man with short black hair and glasses wearing a light blue collared shirt stands in front of a light wooden panel, looking at the camera with a neutral expression.

Active in these projects

Ongoing

Icons of bus, bicycle, and carpooling above two network graphs labelled with travel behaviour factors, connected by an arrow, illustrating changes in behaviour graph evolution over time. Text: Behaviour graph evolution over time.
Research Pair Consolidator

Causally informed machine learning for individual mobility dynamics (CIML4MOB)

About the project ObjectiveThe project envisions a...

A digital interface with a car, pedestrian icon, graphs, and data overlays a human eye, symbolising advanced vehicle technology and autonomous driving systems.
Demonstrator

AgentVision: Video-Language Agent for Robust Environmental Perception in Autonomous Driving

About the project Objective This project aims...

Completed

A person rides a bicycle on a city street, with cars moving quickly nearby. The background is blurred, showing motion. In the corner, there is an illustration of a person speaking into a red megaphone.
Demonstrator

DynamIc uRban roAd traffiC noise simulation model using passive and publicly available data (DIRAC)

About the project ObjectiveThe project aims to...

A hand holds a smartphone displaying the words Causal AI and various tech icons, against a dynamic blue abstract background with dots and curved lines.
Research Pair

Causal Artificial Intelligence for Human Mobility Behavior Analysis Using Trajectory Data (cAIMBER)

About the project ObjectiveThe project envisions a...

A woman with long dark hair, wearing glasses, a dark blazer, and an olive-green polo-neck jumper, smiles at the camera against a blue gradient background.

Yongqiu Zhu

SEC scholar May – September 2024Yongqiu Zhu is...

All projects