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  • Campus 2030

    Smarter transportation on a digital campus. A digital Digital Twin of the road infrastructure that enables a dynamic interaction with users via Augmented Reality (AR) case-studies on campus.

  • MMiB Modern Mobility in Barkarby

    ITRL is investigating the impact of a fleet of self-driving buses integrated in public transport system in Barkarby.


    The TRACER project is expected to accelerate the electrification of the heavy freight transport industry and the realization of the positive effects thereof by deriving transport electrification scenarios that maximize the benefit and minimize the cost of electrification for all stakeholders.

  • 5G Ride – Control Tower

    Develop and test technology to create functions in the control tower for safe implementation of driverless vehicles on public roads.

  • FOKA

    The project aims at building knowledge on potentials and barriers for integrating autonomous vehicles without drivers in future public transport systems, and to understand how shared transport solutions can become preferred by more people. 

  • System Level Impacts of AED for Long-term Transport Planning

    The project explores future scenarios based on AED development, in order to build and share knowledge about potential impacts on the transport system.

  • REDO - Remote Driving Operation

    The goal is to build knowledge and create opportunities in the emerging field of remote operation of road vehicles.

  • MERGEN – Multi-purpose biometric Evaluation Research tool Grounded in Emerging Network technologies

    MERGEN is a project in which we try to better understand by what factors, and how, remotely operating drivers are affected by their surroundings and situations. The work revolves around gathering physical data to understand the psychophysiological connection between the activities of the driver and their cognitive load and stress levels.

  • RoSE - Learning in Routing Games for Sustainable Electromobility

    Making traffic routing for commercial operators more sustainable by accounting for electromobility, operational costs, infrastructure condition deterioration, and environmental externalities.

  • MUST - methods for Managing deep Uncertainty in planning for Sustainable Transport

    The accelerating technological development mean that long-term foresight about the transport system is associated with deep uncertainty. In MUST, transport planning challenges characterized by deep uncertainty will be identified and tools and methods will be developed to provide decision support for the design of more robust strategies for a sustainable future transport system.

  • LOLA - Cost-benefit Optimized Charging Infrastructure

    LOLA - LönsamhetsOptimerad LAddinfrastruktur

  • Social robots accelerating the transition to sustainable transport

    The driverless bus has many advantages, being for example a decrease in the number of accidents and a reduction in carbon emissions. But taking the driver out of the vehicle also means that there is no longer physical supervision in the bus, nor is there a point of contact for questions from passengers. Social robots could be a viable opportunity to substitute the interpersonal aspect of the bus driver.

  • HITS 2024

    HITS vision is to increase system efficiency in terms of increased use of vehicles and infrastructure. The project aims to accelerate the development of an efficient and sustainable urban freight transport system

  • PSSST – Policies for sustainable, shared self-driving transportation

    ITRL has previously investigated the impacts of self-driving technology on the region of Stockholm and on the public transport system in the project. To expand on this project, Region Stockholm has funded a project aimed at investigating policies that may be relevant in the case of a wide-spread adoption of self-driving vehicles.


    Systematic Evaluations and Assessments of MaaS – Leading towards Sustainable Solutions. The project uses an evaluation framework developed within the KOMPIS project to assess environmental, economic and social impacts at three levels – micro (traveller), meso (organisation) and macro (city, region, country).

  • WASP Bridge

    Intelligent Intersections: Enhanced Awareness and Safe Coordination for 5G-Connected Traffic.


    The ELKOLL project aims to increase our understanding of how e-scooters are used and what the alternatives for travelers would have been, had they not chosen to use an e-scooter.

  • Mistra SAMS Living Lab 2

    Mistra SAMS is a transdiciplinary research programme situated at the main campus of KTH Royal Institute of Technology in Stockholm, Sweden. It provides a forum for knowledge exchange and collaboration between industry, the public sector and research.

  • STIFF – System Transformation for Uptime for Driverless vehicles

    A project studying fault-handling systems in driverless transport systems. The focus is on how to address the several critical aspects of removing the driver that will affect the measurement of the vehicle's functional state.

  • ABE Södertörn

    Autonomous Electrified Busses Södertörn aims to provide suggestions on how future self-driving electric buses can be utilized in a socio-economic and environmentally sustainable solution for future public transport in line with the Agenda 2030 goals.


    System level impacts of (cellular) connectivity-enhanced transport.

  • Automated Vehicle Traffic Control Tower: Phase 2

    The Automated Vehicle Traffic Control Tower: Phase 2 continues our work on the effects of automation on vehicle and traffic management of commercially operated fleets and public transport. 

  • ISMIR - Investigating Sidewalks’ Mobility and Improving it with Robots

  • Drive Sweden Business Model Lab

    Automated connected vehicles and mobility services have the potential to create new business opportunities within the transport sector. Conversely, developments in these fields pressurize current business models and open the door for radical changes and the entry of new actors.

  • CORD – Cognitive assessment of Remote Drive

    This pre-study will test a new approach based on Neuroscience-AI to see how it could be used in the context of semi-autonomous and remote driving.

  • Stockholm Digital Parking

    Today, mapping out and updating databases of street parking locations and availability is done using costly manual processes or infrastructure sensors. This project explores the viability of crowd-sensing street parking availability by employing smartphone-equipped taxi fleets.

  • Urban Logistik Barkarby

    How does the future sustainable flows of goods in and out of the city look like? How do we use the space in our city optimally? What transport vehicles will we use and how can the city’s return flows of different materials best be utilized? Those are some of the questions we are investigating in the project Urban Logistics Barkarby, which aims to create a circular solution for logistics in the city.

  • REDO2 - Remote automated vehicle operation 2

    The main results from REDO2 will be prerequisites, tools, methods, and demonstrations of remote operation of road vehicles. Furthermore, the project includes comprehensive studies to give valuable scientific results on operational requirements of remote operation and its complex interaction within the systems, as well as advice and overview on regulation and laws.

Belongs to: KTH Royal Institute of Technology
Last changed: Sep 22, 2020