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.
In the Automated Vehicle Traffic Control Tower project phase 1, we investigated the effects of automation on vehicle and traffic management of commercially operated fleets and public transport.
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.
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.
The Digigoods project is focused on the improvements which can be achieved through digitalization and data sharing by the actors from the entire value chain for goods logistics.
Digital Services for Connected Freight Transportation: Exploring User Needs and Possible Solutions
This project explores how digital services can substitute physical infrastructure in freight transport, what socio-economic benefits they provide, and the conditions required for successful implementation. By identifying key digital solutions and evaluating their potential impact, the project aims to support the transition towards a more efficient, safe, and sustainable freight transport system.
EFFECT (ChEss Machines For ElectriFiEd Construction SiTes)
Image: DALL·E 3 by prompt: “Digital chess board where the figures are electrical construction equipment (charger, battery, solar cell, excavator, front loader) and some of the fields have piles of material (rocks, sand), dug out holes and buildings under construction.”
The EFFECT project aims to develop a digital twin of electrified construction site resources, processes, and their dependencies to evaluate the potential cost and benefit of best-practice electrification of a construction site. The digital twin will be tested in an urban renewal project of 1200 apartments in Södermalm, Stockholm.
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.
The project Elbilslandet 2.0 evaluated rental EVs during the summertime in Gotland during 2015 and 2016 as a demonstration of rental EVs and as a means of researching customer behavior and decision-making with respect to the choice, and use of electric or traditional rental cars.
Capturing knowledge and creating analysis methods and tools to support optimal implementation of Electric Road Systems (ERS) in the Transport system. A study based on ongoing ERS demonstrations and initiatives in Sweden and Europe.
Electrification of the Handling of Building Material in the City
Swedish cities have problems with air pollution from diesel engines used in road traffic and work machines. Development needs to increase to reach the target, 70% reduction of emissions in 2030 from domestic transport.
The purpose of the project was to execute a pre-study for electrified hub-based transports where different transport modes and concepts are combined in ordered to capture enhanced benefits at the system level. The goal was to evaluate practices, collaborations, innovations and investments that contribute to the national goals of reduced emissions.
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.
Future Scenarios for the Development of Self-driving Vehicles in Sweden
The development of Self-Driving Vehicles (SDVs) is fast, and several vehicle manufacturers have announced that they will launch fully self-driving vehicles to the market around the year 2020. SDVs have the potential to disruptively change mobility and transportation - but the question remains open: How will this future look?
Future Scenarios for the Digitalised Road Freight Transport Landscape
Digitalization and automation are developing fast, experts agree on that it is not a matter of if but rather when we will see impacts on public streets and effects of business.
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
IOD-PT - Inclusive On-Demand Public Transport: exploring user needs and possible solutions
Värmlandstrafik workers posing by X-linjen vehicles
In this project, led by KTH Royal Institute of Technology, along with our project partners RISE, Nobina & Värmlandstrafik, we wish to study the case of an established on-demand public transportation service, in preparation for subsequently designing concepts for inclusive on-demand public transport. For the study, we chose a transportation service in the town of Säffle, called X-linjen, operational since 2022.
ISMIR - Investigating Sidewalks’ Mobility and Improving it with Robots
The ISMIR project investigates how sidewalk robots can improve city logistics by optimizing short-range trips and delivery methods, as well as gathering data to enhance pedestrian mobility. By integrating machine learning and predictive models, it aims to develop smarter routing solutions and ”walkability” indicators for better urban planning.
For this project we built a single inductive bus stop charger in Södertälje, not only to show it can reduce 60% of energy consumption and lower CO2 emissions compared to a traditional bus, but to study and develop vehicle- and road-side technology. It also gave us opportunities to study the need for new business models and their attractiveness for users and operators.
InterCityLog2 - Minimize transport work with cross-border collaboration
Generate knowledge that enables to assess the energy efficiency potential in solutions identified as unutilized potential for collaborative and consolidated low emission transport solutions in cities.
The aim of this project is to support the development of combined mobility (CM) in Sweden, by creating favorable conditions and reducing barriers for the development and implementation of CM services that contribute to meeting the Swedish transport policy goals.
KTH Mobility Pool was a long-term research project that explored replacing fossil fuel car-based travel to work for employees at two large workplaces in Sweden through a new product-service system (PSS), integrating lightweight electric vehicles (LEVs) in a shared use system, to provide a more sustainable mobility alternative for several different user needs.
This project models, integrates, and evaluates the impact of power production and distribution costs on optimal electric charging infrastructure placement. It explores cost variability, correlations, and their effects on placement, mix, and sizing.
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.
Investigating how to sustainably integrate e-micromobility into existing mobility systems with focus on synergies with PT, cities, safety regulations and technology, and business model.
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.
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.
In collaboration with research centres ITRL, ECO2 and CTS, KTH has since 2014 led an initiative on Urban goods delivery during night time in Stockholm, temporarily lifting the ban on heavy trucks between 22-06. The research has confirmed the potential of off-peak delivery; e.g. increased transport efficiency and thus profitability, lower emissions and better street space usage.
The PREDICT project aims to increase resource efficiency and transport efficiency via predictive management of mixed-sized vehicles fleets for consolidated/shared transportation of people and goods.
The PRESTO, Predictive Quality-of-Service Management for Transport Services, project is to provide predictions of spatio-temporal network capacity, coverage and quality-of-service along streets. To realize such predictions, PRESTO will investigate, use and extend machine learning techniques to predict throughput and quality of service.
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.
Prerequisites for electric 98-ton vehicle combination
Photo: Skogforsk
Sustainable business models are required to make the transition to electric transports possible. Long-term planning, optimized routes and life cycle management of batteries are important aspects.
Electrification, in particular Electric Road Systems (ERS) are viewed as a viable and necessary technology to meet Sweden’s ambitious transport sustainability goals. The objective of the RENO project is to provide, in form of maps and statistics, novel and complementary decision support for- and knowledge about which parts of the road network to electrify to maximize the network’s electrification utility given a set of freight routes (real or simulated).
The KTH Research Concept Vehicle model E is a rolling research and demonstration laboratory for vehicle research concerning sustainable transport systems. The purpose of the vehicle is to have a platform that is fully connected and automated where research results can be implemented and evaluated in real-life.
With the vision of a sustainable and resilient transport system, the pre-study examines the effects of COVID-19 on the transportation system. The aim is to utilize the learnings from the pandemic for developing dynamic system models which can serve as a basis for future strategies and policies to strengthen the freight transport and logistic system.
Investigating the effect of dynamic priority lanes for freight (DPLF) in terms of efficiency on existing infrastructure, and to prepare for a full scale demonstration.
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.
The SARA1 project, run together with the Autopiloten project aimed at increasing knowledge and understanding about how Automated Vehicles (AV) can contribute to and complement public transport.
SCOES Sustainable Commuting Obstacles Exploration Study
Photo by Roman Koester on Unsplash.
This study explored obstacles to sustainable commuting with three employers based in Borlänge. The purpose of the study was to support a richer understanding of commuting in the local context and support participants of the study in reflections.
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).
A Simulation and Visualisation platform for Automated Vehicles and Mobility Services
The SIMnVIS project was tasked with conducting a state-of-the-art analysis and comparison of existing simulation tools, as well as developing a virtual transportation system simulation platform on which interested parties would be able to simulate and visualize different conditions of transportation scenarios.
SUSTEV - Towards a sustainable use of electric vehicles
Explore under what conditions is it likely that electric vehicles (EV) will lead to an increased number of car trips, and what are the roles of policy and infrastructure development in this process. The expected result is an understanding of the risks for increased car trips due to EVs and a roadmap for sustainable EV use.
Self-driving vehicles and public transport – opportunities and barriers
A set of different scenarios are developed in cooperation with SLL exploring the future of both the private cars (e.g. cheap taxi services) and public transport (e.g. first/last mile services)' in order to understand the system level effects of automation technology on the transport system and contribute to SLL's scenario toolbox used when evaluating different investments e.g. new subway lines.
In the Smart Mobility Needs Smart Governance project, we try to understand which new policy tools will be needed in a future of “Smart” mobility with for example, self-driving technology and Mobility as service subscriptions.
Social robots accelerating the transition to sustainable transport
Furhat is able to non-verbally connect with this passenger of a driverless bus by using amongst others eye gaze and neck movement. (picture taken by Tobias Bolin, KTH)
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.
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.
Self-driving vehicles might revolutionise the mobility of people and goods and the expectations on driving automation are sky high. However, their long-term impacts on the transport system and sustainability aspects remain uncertain.
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.
Test Site Stockholm, together with its partners, set out to test and demonstrate sustainable mobility in Stockholm. It was a place where all partners met, worked together, and created a space in which new ideas could arise for the integration of innovative concepts and ideas that will enable us to build a unified system for connected and shared mobility.
Autonomous and driverless vehicles will soon be introduced to the market and there are several concepts and ideas of how they enable efficient and sustainable transport solutions. However, progress is still needed in the area of system reliability.
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.
VMaRS - Values of MaaS Based on Representative Scenarios
There are many ongoing initiatives and pilots taking place in many different contexts. These are important to gain knowledge about user acceptance, business models, and public/private stakeholders collaboration. However, the pilots are often relatively limited in terms of number of users, user groups, number of transport options and time period.
