About
59
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523
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Introduction
I am a senior researcher at Integrated Transport Research Lab at KTH. I am also project manager for Connected Mobility Arena, a project where we KTH together with partners are creating an open test arena for future connected and automated mobility.
My research interest is within sustainable transport, connected and automated mobility, shared mobility. I am interested in working on a system level, using data and information analysis, probability theory and modelling.
Publications
Publications (59)
Using 530 responses from an online questionnaire, this study aims to investigate the transition from physical to online shopping alternatives during the first wave of the COVID-19 pandemic at the individual level. The focus areas of the study are Sweden and Italy, two European countries that implemented contrasting prevention measures. This study a...
Self-driving technology may lead to a paradigm shift for the transport industry with shared cars available to every-one. However, this vision has increasingly been challenged as too optimistic and unsubstantiated. In this study we explore societal impacts of using this technology for both cars and public transport and investigate differences depend...
Numerous studies have studied the impacts of automated driving (AD) technology on e.g. accident rates or CO2 emissions using various frameworks. In this paper we present an overview of previous frameworks used for societal impacts and review their advantages and limitations. Additionally, we introduce the Total Impact Assessment (TIA) framework dev...
Automation technology has received great attention recently and been expected to play an important role in future transport systems. Understanding determinants of travellers' intention to use the bus and recommend the service to others is critical to promote such new travel modes. Although previous studies have focused on plausible scenarios based...
Integrating automated buses (ABs) into the public transport system may have potentials of providing more environment-friendly and cost-efficient mobility solutions by improving travel safety, reducing cost and decreasing congestion. However, the realization of the potentials depends not only on innovative technologies but also on users’ acceptance...
Introduction
The first wave of COVID-19 pandemic period has drastically changed people’s lives all over the world. To cope with the disruption, digital solutions have become more popular. However, the ability to adopt digitalised alternatives is different across socio-economic and socio-demographic groups.
Objective
This study investigates how ind...
Mobility as a Service (MaaS) is considered a strategy that can provide potential solutions for a sustainable transport system. The current literature claims that MaaS can deliver net positive impacts for the transport system. However, whether these impacts are marginal or significant is unclear, as estimations typically are based on a few pilot tes...
This paper presents an analysis of the potential impacts of large-scale adoption of driverless trucks on transport patterns and system costs for a national freight transport system with Sweden as a case study. The analysis is performed by extending the application domain of the Swedish national freight transport model Samgods to analyze two types o...
New autonomous driving technologies are emerging every day and some of them have been commercially applied in the real world. While benefiting from these technologies, autonomous trucks are facing new challenges in short-term maintenance planning, which directly influences the truck operator’s profit. In this paper, we implement a vehicle health ma...
New autonomous driving technologies are emerging every day and some of them have been commercially applied in the real world. While benefiting from these technologies, autonomous trucks are facing new challenges in short-term maintenance planning, which directly influences the truck operator's profit. In this paper, we implement a vehicle health ma...
By using 530 responses from an online questionnaire, this study aims to investigate the transition from physical to online shopping alternatives during the first wave of the COVID-19 pandemic period at the individual level. The focus areas of the study are Sweden and Italy, two European countries that implemented contrasting prevention measures. Th...
The sustainable and continuous development of public transport systems is crucial to ensuring robust and resilient transport and economic activity whilst improving the urban environment. Through technological improvement, cities can increase the competitiveness of public transport, promote equality and pursue a multi-modal shift to greener solution...
Road freight transport is a key function of modern societies. At the same time, road freight transport accounts for significant emissions. Digitalization, including automation, digitized information, and artificial intelligence, provide opportunities to improve efficiency, reduce costs, and increase service levels in road freight transport. Digital...
Road freight transportation is a key function of modern societies. At the same time, road freight transportation accounts for significant emissions. To reach the UN sustainability goals, sustainable road freight transportation is key. Digitalization, including automation, digitized information, and AI provide opportunities to improve efficiency, re...
To reach the full potential of Mobility as a Service (MaaS), especially its projected positive environmental impacts, the barriers to development and implementation processes must be identified. However, studies identifying such MaaS barriers are rare. Following an interdisciplinary approach, this paper aims to bridge this gap by adding knowledge o...
Automated vehicles (AVs) have the potential to enhance road capacity, improving road safety and traffic efficiency. Research and development on AVs have been going on for many years. However, when the complicated traffic rules and real situations interacted, AVs fail to make decisions on contradicting situations, and are not able to have control in...
Automated vehicles (AVs) have the potential to enhance road capacity, improving road safety and traffic efficiency. Research and development on AVs have been going on for many years. However, when the complicated traffic rules and real situations interacted, AVs fail to make decisions on contradicting situations, and are not able to have control in...
The public sector makes long-term investments in for example tram rail lines and highways based on forecasts of future travelling but generally do not consider the impacts of self-driving technology as a factor. Several papers have presented transport system wide simulations with self-driving cars, exploring changes in mode choice, energy demand or...
Corporate Mobility as a Service (CMaaS) is a type of MaaS that enables mobility within as well as to and from a worksite for employees. The expected benefits of CMaaS are to support a shift towards more sustainable and more effective work-related transport activities. There is a lack of knowledge regarding the impacts of CMaaS and how its performan...
The rapid development of automated buses holds great potential for the development of transportation systems. As research into innovative forms of automated transportation systems gains momentum, it is important to understand the public’s perceptions of such public transport systems. Previous studies have contributed based on hypothetical scenarios...
Road freight transport is believed by many to be the first transport domain in which driverless (DL) vehicles will have a significant impact. However, in current literature almost no attention has been given to how the diffusion of DL trucks might occur and how it might affect the transport system. To make predictions on the market uptake and to mo...
Introduction
Travel demand and travel satisfaction of a transport service are affected by user perceptions of the service quality attributes, and such perceptions should be included in studying user willingness-to-pay (WTP) for automated vehicle (AV) services. This study applied structural equation modelling with service quality attribute perceptio...
Driving automation technology is attractive for the road freight transport sector since driverless trucks (DL-trucks) may drastically reduce driver costs, increase truck utilization and improve road safety. Although DL-trucks may bring significant impacts to the transport system, research on the future diffusion and impacts of DL-trucks is scarce c...
Road freight transportation is a key function of modern societies. At the same time, road freight transportation accounts for significant emissions and contributes to congestion. To reach the UN sustainability goals, a sustainable and effective road freight transportation sector is key. Digitalization, including new technologies such as automation,...
Road freight transport is by many believed to be the first transport domain in which driving automation will have a significant impact. However, in current literature almost no attention has been given to how the diffusion of driverless trucks (DL-trucks) might occur and how it might impact the transport system. In order to make predictions on the...
Future sustainability impacts of driverless vehicles are subject to significant uncertainty which arise from complex systemic interactions within the transportation system and parallel social trends influencing transportation. One approach used to holistically address impacts of driverless vehicles is societal scenarios which capture and problemati...
Driverless vehicles have the potential to significantly affect the transport system, society, and environment. However, there are still many unanswered questions regarding what the development will look like, and there are several contradictory forces. This paper addresses the effects of driverless vehicles by combining the results from 26 simulati...
Mobility as a Service (MaaS), where different shared modes of transportation are bundled into one easily accessible service, plays an important role in the shift towards more sustainable transport systems. In this article, we present empirical research with the aim to understand how the barriers to increased shared travel with MaaS can be lowered....
Highly automated road vehicles need the capability of stopping safely in a situation that disrupts continued normal operation, e.g. due to internal system faults. Motion planning
for safe stop differs from nominal motion planning, since there is not a specific goal location. Rather, the desired behavior is that the vehicle should reach a stopped st...
This paper extends previous research by developing future scenarios for self-driving vehicles and their societal impacts in freight transport using Sweden as a case study. Freight experts from vehicle manufacturers, agencies, universities and hauliers were recruited for a workshop where they assessed the benefits, costs, possibilities and barriers...
Sustainable transportation is a top priority challenge for many cities and urban regions. To reach that, an attractive public transport plays a key role. In this paper an analysis of how the technology of self-driving vehicles, and in particular shuttles for about 6-20 passengers, can complement and improve attractively in public transport. Self-dr...
To understand possibilities and barriers for ride-sharing in work commuting, 451 persons living in the same suburban area and working at the same site were invited to join a ride-sharing program and use a mobile application. Two quantitative web surveys and 16 in-depth interviews have been performed. The results have been analysed using social prac...
To study future communication needs between pedestrians and shared automated vehicles (SAVs), an interface that communicates the intentions of SAVs to pedestrians was designed and implemented in a virtual reality (VR) environment. This enabled the exploration of behaviors and experiences of 34 pedestrians when encountering SAVs, both with and witho...
Automated driving systems will be severely challenged in the unpredictable conditions of mixed traffic. Consequently, some form of human support remains essential in the foreseeable future. This challenge is especially true for Shared Automated Vehicles (SAVs), as these vehicles will likely not include any human driver on-board. When an SAV will en...
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 year 2020 (“Driverless car market watch,” 2017). However, what the consequences of SDVs will be for users, society and the environment are still open questions. SDVs can bec...
Automated driving systems will be severely challenged in the unpredictable conditions of mixed traffic. Consequently, some form of human support remains essential in the foreseeable future. This challenge is especially true for Shared Automated Vehicles (SAVs), as these vehicles will likely not include any human driver on-board. When an SAV will en...
Two heavy trucks have been operated in Stockholm city center during night time for e period of one and a half years. New technology has been tested: one the trucks was an electric hybrid with zone management and one was a PIEK certified biogas truck. The two trucks have been operated in different delivery schemes: on dedicated and one consolidated....
In this paper a Bayesian approach is used for fault diagnosis of complex systems. The posterior probabilities that different faults are present, given observations from the system, are computed. Generally in previous methods for Bayesian fault diagnosis, a model of the system under diagnosis is estimated. In the present paper a step further is take...
This paper present result from three global companies regarding strategies for creating global instructions, the studies are from a current state perspective. The result is based from a survey with 65 respondents. The designers are responsible for instructions and are from two different areas; assembly and service market. Furthermore a workshop has...
Computer assisted troubleshooting with external interventions is considered. The work is motivated by the task of repairing an automotive vehicle at lowest possible expected cost. The main contribution is a decision theoretic troubleshooting system that is developed to handle external interventions. In particular, practical issues in modeling for t...
We consider computer assisted troubleshooting of complex systems, where the objective is to identify the cause of a failure and repair the system at as low expected cost as possible. Three main challenges are: the need for disassembling the system during troubleshooting, the difficulty to verify that the system is fault free, and the dependencies i...
We consider computer assisted troubleshooting of complex systems, for example of a vehicle at a workshop. The objective is to identify the cause of a failure and repair a system at as low expected cost as possible. Three main challenges are: the need for disassembling the system during troubleshooting, the difficulty to verify that the system is fa...
Inspired by the problem of fault isolation we consider Bayesian inference from training data and background knowledge. We discuss how the background knowledge can be translated to equality constraints and show how it is introduced in the computations. The main advantage of combining data and background knowledge is achieved when the amount of data...
Fault isolation is the task of localizing faults in a process, given observations from it. To do this, a model describing the relation between faults and observations is needed. In this paper we focus on learning such models both from training data and from prior knowledge. There are several chal-lenges in learning for fault isolation. The number o...
This chapter considers a Bayesian inference method for fault isolation. Given a set of residuals, and a set of possible faults, the task is to calculate the probability distribution of the faults. The method requires conditional probability distribution of how the residuals respond given the possible faults. Especially important is to know the stru...
In this paper we consider Bayesian inference using training data combined with prior information. The prior information considered is response and causality information which gives constraints on the posterior distribution. It is shown how these constraints can be expressed in terms of the prior probability distribution, and how to perform the comp...
This paper considers a Bayesian inference method for fault isolation. Given a set of residuals, and a set of possible faults, the task is to calculate the probability distribution of the faults. The method requires the conditional probability distribution of how the residuals respond given the possible faults. Especially important is to know the st...
In Bayesian fault identification, the probabilities that faults ar e present, given observations from the system under diagnoses, are computed. To perform these computa- tions, likelihood distributions and prior probability distri butions are needed. Often, knowl- edge about these distributions is qualitative, diffuse or vague, and i t is not strai...
This paper considers a Bayesian approach to fault isolation. Given a set of measurements from the system, and a set of possible faults, the task is to calculate the probability that the faults are present. This probability can then be used to rank the faults, or for decisions on fault sccomodation. The method requires the conditional probability di...
Projects
Projects (5)
More info and call for abstracts: https://www.itrl.kth.se/events/cit19
CIT19 is the platform to discuss how disruptive technologies influence the mobility ecosystem and how they could affect different stakeholders. CIT19 aims to assess the potentials of emerging disruptive technologies for mobility solutions and consider their impacts on travel and transport as well as on different stakeholders.
More info and call for abstracts: https://www.itrl.kth.se/events/cit19
