Research Projects

Our research projects are mostly related to intelligent and sustainable transport as well as measuring, modeling and simulation of traffic and traveling behavior.

Ongoing Research Projects

DecoNet: Decoding Urban Public Transport Networks (AoF 2015- )

This project, funded by the Academy of Finland, will collect and curate open data on public transport networks from a wide range of cities, and release this data as an open access repository. All collected data will be analyzed using network-theoretical methods to uncover common features that make systems efficient, resilient, and attractive in terms of travel time and cost. Moreover, the acquired understanding will be packaged as a set of decision-support tools for improving public transport planning and operation. This joint project of the Department of Computer Science and Department of Built Environment of Aalto University will advance computer science and transport engineering, and help the development of new transport services and applications.

Further Information: Christoffer Weckström, Assistant Prof. Milos Mladenovic

The Road to Self-Driving Mobility in Finland (2015- )

The project aims to improve planning for the emerging technology of self-driving vehicles. As this emerging technology is in its foundational development stage, there is a need to rethink the planning practice to include a range of societal advantages and disadvantages. This interdisciplinary project merges theoretical frameworks from transportation planning, planning theory, technology transitions, and Science and Technology Studies. The research will focus on a technological transition in Finland, and directly relate to the European transport planning framework, Sustainable Urban Mobility Plan. The project collaborates with the research groups from University of Otago, New Zealand, University of Sussex, UK, University of California, Irvine, and Indiana University, Bloomington, USA. 

Further Information: Assistant Prof. Milos Mladenovic

MulSimCo - Multilevel Traffic Simulation with Cognitive Basis (AoF 2015- )

This project is carried out in co-operation with Helsinki University/Cognitive Science Unit and funded by the Academy of Finland (2015-2018). The aim is to developed a more realistic traffic simulation by combining the knowledge of transportation engineering with cognitive science. A computational driver model based on driving psychology is especially necessary in simulation of mixed fleets of human drivers and autonomic vehicles.

Further Information: Doctoral Candidate Teemu Itkonen, Dr Iisakki Kosonen, Prof. Tapio Luttinen

Traffic Performance of Roundabouts (2014-)

The primary aim of the project is to study the capacity and other essential performance characteristics at Finnish roundabouts by field measurements. Simulation software and/or analytical methods are the general tools in traffic performance analyses. It has been shown in earlier studies that foreign simulation software and calculation methods, as they are, are not necessarily suitable for Finnish traffic conditions. The other main aim of the field measurements is to produce parameter values and performance characteristics for the common simulation software (e.g. VISSIM and Paramics) and for the calculation methods.

The study is funded by Finnish Transport Agency.

Further information
Professor Tapio Luttinen, Laboratory Manager Åsa Enberg, Researcher Virpi Ojala, Research Assistant Mika Ridanpää, Staff Scientist Iisakki Kosonen

The Effect of HCT Vehicles on the Traffic Flow (2014–2016)

The aim of this research project is to investigate how High Capacity Transport (HCT) vehicles affect the traffic flow compared to normal-sized heavy vehicles. HCT vehicles in Finland are longer than 25,25 meters and/or weigh more than 76 tons. The focus of the study is on overtaking and platooning behavior in the immediate presence of the studied heavy vehicles. The subscriber of the study is Finnish Transport Agency, Liikennevirasto.

Further information
Professor Tapio Luttinen, Laboratory Manager Åsa Enberg, Reseach Assistant Tommi Heinonen

TrafficSense - Energy Efficient Traffic with Crowdsensing (AEF, Aug 2013-)

TrafficSense is a multi-disciplinary project with other research groups in Aalto funded by the Aalto Energy Efficiency Program (AEF). The aim is to promote more energy efficient and green modes of transport through personal mobility management assistant (PMMA) based on crowdsensing of traveling behavior. The TrafficSense system is able to automatically detect the basic parameters of individual trips including the mode of transport and the public transport services used. Based on this data the system learns the mobility patterns and is able to predict next trip to done. Based on prediction the system look for potential problems or opportunities and suggest alternatives which are more energy efficient. TrafficSense approach is one of the necessary steps toward mobility as a service (MaaS). 

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

Capacity at Motorway On-ramp Junctions (2013-)

The primary aim of the study is to find out the capacity at motorway ramp junctions. Simulation software and/or analytical methods are the general tools in traffic performance analyses. It has been shown in earlier studies that foreign simulation software and calculation methods, as they are, are not necessarily suitable for Finnish traffic conditions. The secondary aim of the field measurements is to produce parameter values and performance characteristics for the common simulation software (e.g. VISSIM and Paramics) and for the calculation methods. Field measurement data has been gathered in 2013 from six on-ramp merging areas in Helsinki Metropolitan Area.

Already one master's thesis (Anwar 2015) has been done during the project. This study examined the macroscopic characteristics of traffic flow on on-ramp merging segments. The study continues with more detailed behavioural study and gap analysis.

The study is carried out in co-operation with Ramboll Finland and funded by Finnish Transport Agency.

Further information
Professor Tapio Luttinen, Laboratory Manager Åsa Enberg, Researcher Virpi Ojala, Staff Scientist Iisakki Kosonen

Development of methods for defining the capacity (FTA 2012- )

Finnish Transport Agency is funding the research of improving the methods for defining the capacity. In 2012 with Ramboll Finland a quick guide was made for ordering and carrying out capacity definition projects. This was continued by evaluating the present data and methods as well as finding out where new research is necessary. As a result the roundabouts, ramps and weaving sections were chosen for further research. Based on field measurements updated capacity values and suggested values for traffic simulations have been worked out.

Further Information:  Researcher Virpi Ojala , Laboratory Engineer Åsa Enberg , Prof. Tapio Luttinen

MUSIG - Multi-Objective Optimal Signal Control (Aalto-KTH 2012-)

In the MUSIG project our aim is to develop intelligent traffic signal control by employing advanced computational methodology. Real-time situation awareness combined with multi-agent control provides the framework (the FUSICO-software). Most recently multi-objective optimization of traffic signals is studied in co-operation with KTH (Royal Institute of Technology).

Doctoral Candidate: Junchen Jin, Supervision: Dr Xiaoliang Ma and Dr Iisakki Kosonen

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

Light Energy - Efficient and Safe Traffic Environments  (AEF 2012-)

The Light Energy - Efficient and Safe Traffic Environments project improves the energy efficiency of transport environments and outdoor lighting while maintaining a good level of road safety and taking into account the needs of road users. The project studies the optimal realization of lighting and develops smart control of lighting by considering the visibility and safety of road users, the traffic situation, and environmental and economic factors.

The specific target of Transportation Engineering is to study the effects of street lighting to traffic safety and develop an energy efficient and safe traffic responsive street lighting control method.

Further Information: Doctoral Candidate Sanaz Bozorg Chenani, Dr Iisakki Kosonen, Prof. Tapio Luttinen

Microscopic simulation of pedestrian attractions (2011-)

Abstract

This study investigates the effects of attractions to pedestrian flows. The aim is to model interactions between pedestrians and attractions including shopping displays and museum exhibits. In reality, such attractive interactions may lead to impulse stop behavior; pedestrians stop walking to destinations and join the attractions. The simulations indicate clear phases of the pedestrian flow, namely free flow, agglomerate state and competitive state. The results can be applied to the planning of public spaces.

The research work was partly funded by the MIDE-institute of the Aalto University though the 4D-space project.

Further Information: Doctoral Candidate Jaeyoung Kwak, Dr Iisakki Kosonen, Prof. Tapio Luttinen

Recent Research Projects

Aalto ITS initiative (Special funding 2011)

The challenges and opportunities of the research and education of intelligent transport was studied together with other related departments of the Aalto University. As an outcome three focus areas were suggested namely: intelligent traveling, intelligent traffic management and intelligent vehicle technology. 

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

Electric Mobility: SIMBe and eSINi projects (TEKES 2010-2014)

In SIMBe-project (Smart Infrastructures for Electric Mobility in Built Environments) the integration and effects of electric mobility to transportation system was studied. Especially the smart infrastructures for fast and slow charging for electric vehicles was investigated. A blueprint of charging infrastructure to the Helsinki  region was planned. 

The research was continued with a piloting project eSINi -(Electrical Vehicle Charging Infrastructure for Urban Environments), in which actual electric vehicles were used and the users were interviewed. Both project were funded by Tekes – the Finnish Funding Agency for Innovation. 

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

Emergent Social Mobility (EIT ICT-labs, 2013)

The emerging social aspect of mobility was studied in the research project funded by the EIT European Institute of Innovation and Technology, ICT-labs (now EIT Digital). The development of the Electric Trip Diary at Aalto University was started within this project.

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

FOTsis - Cooperative ITS from Inrastructure Perspective

In the FOTsis project the focus was especially on Vehicle-Infra communication (V2I) and its potential in improving the traffic fluency and safety. In Aalto University the aspects and data regarding to traffic safety was studied.

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

4D-Space - Intelligent and learning public spaces (MIDE 2010-2012)

In this project the measurement and modeling of public spaces was researched. Emerging positioning and sensor technologies were investigated. The modeling and simulation of indoors pedestrian movements was developed.

Read more (pdf)

Further Information: Staff Scientist Iisakki Kosonen

International Research Collaboration

EIT ICT-Labs, Intelligent Mobility and Transportation Systems

http://www.eitictlabs.eu/home/.

EU COST-action TU1102, Towards Autonomic Road Transport Support Systems (ARTS)

http://www.cost.eu/domains_actions/tud/Actions/TU1102/
http://helios.hud.ac.uk/cost/.

EU COST-action TU0903, Calibration, Validation of Traffic Simulation Models (MULTITUDE)

http://www.cost.eu/domains_actions/tud/Actions/TU0903
http://multitude-project.eu/.

Research Infrastructures

HUTSIM - Microscopic Traffic Simulation Environment

HUTSIM is an object-oriented simulation environment for traffic. It includes high fidelity modeling of vehicle-vehicle, vehicle-infra, and vehicle-control interactions with detailed spatial modeling of the traffic environment. HUTSIM has been developed by the Aalto University, Transportation Engineering Research Group. HUTSIM is used for research purposes, although it has been sold to cities, companies and universities around the world.

With HUTSIM it is possible to study the conventional measures like changes in the traffic environment as well as advanced measures like driver support systems and autonomous vehicles. The system has been calibrated and validated against field measurements. 

Further Information: Staff Scientist Iisakki Kosonen

FUSICO - Environment for development of Intelligent Traffic Signal Control

The FUSICO-system is a framework for research of intelligent traffic control. FUSICO is an operational system (not simulation only) and it is based on the idea using real-time simulation for creating situation awareness from multitude of sensor data. The other main approach is using distributed intelligence through multi-agent control system, in which control agents negotiate the control decisions based on common situation awareness.

Although originally the system was deploying fuzzy logic (FUzzy SIgnal COntrol), the  generic framework allows use of any other types of artificial intelligence for decision making. For example reinforced learning of neural network has been deployed for optimization of signal timings. Evolutionary algorithms are used for multi-criteria optimization. Self-calibration features are used as an example of autonomic computing.

The FUSICO software was sold to RSM.ltd for commercialization, but the original system remains in the Aalto University as platform for research of intelligent traffic control. Most recently the system is used in joint research with the Royal Institute of Stockholm (KTH). The commercialized system is under installation in the Silicon Valley by RSM Technology, USA.

Further Information: Staff Scientist Iisakki Kosonen

DigiTraffic – Real-time Modeling based ITS-Services

DigiTraffic is a real-time modeling environment for traffic. The basic approach is to utilize the various sources of real-time traffic (raw) data into a single picture of the traffic situation. This picture is a prerequisite for various traffic and transport related services. Multiple agents related to traffic information and control can have common situation awareness while negotiating the best solutions to management of the traffic situations. DigiTraffic can be seen a generalization of the FUSICO. Based on real-time microscopic modeling, it is also suitable for management of mixed fleet of self driving vehicles and human actors like drivers, pedestrians and cyclists.

Finnish Transport Agency has adopted the name DigiTraffic to its own real-time traffic information service.

Further Information: Staff Scientist Iisakki Kosonen

Electric Trip Diary - Automated Measurement of Traveling Behavior

The Electric Trip Diary is developed by the Aalto University, Transportation Engineering. It is aimed for multi-modal mobility studies. The system can automatically follow the origin, destinations and routes of the travellers. The novel solution is the automatic detection of the mode of transport (walk, cycle, vehicle) including the public transport (type, line number). The concept is extended in the TrafficSense project, where the system also learns and predicts the daily traveling activities. 

Further Information: Staff Scientist Iisakki Kosonen
Read more (pdf)
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Further Information

Professor Tapio Luttinen
Assistant Prof. Milos Mladenovic
Staff Scientist Iisakki Kosonen
Laboratory Manager Åsa Enberg.

Page content by: | Last updated: 04.04.2016.