My current position as professor at the Division of Communications and Transport Systems at Linköping University includes both teaching and research. My teaching is mainly done in courses offered on the civil engineering program Kommunikation, Transport och Samhälle (KTS). The courses are in the field of quantitative analysis, transport demand modelling, optimization and systems analysis. My research focus is on quantitative methods for transport modelling and analysis. The research projects covers passenger transport demand modelling, transport data analytics and transport flow modelling. I am the research group leader for the Traffic Modelling and Simulation group. Since January 2010 I am head of unit for the Traffic Systems unit at the division.

Teaching

Since January 2021 I am a member of the program board for Industrial Economics and Logistics (IL). Since January 2009 I have a been substitute member of the same board and have also been the chairman of the program planning group (PPG) for the undergraduate programs in Norrköping belonging this board (SL, FTL and KTS). I am the coordinator of the five-year engineering program Kommunikation, Transport och Samhälle (KTS) since 2009. Since 2008 I am the coordinator for the Traffic Analysis master program profile on the KTS program. During the years 2003-2011, I was the director of undergraduate studies at the division.

I currently do the majority of my teaching in the following courses:

• TNK118 Transport Demand Forecasting, 6 ECTS, Second cycle, Spring semester

  The course aims to provide basic knowledge in the planning and forecasting of traffic systems. The course provides an overview of problems and applications in the area of traffic planning and traffic modelling. The course will help the student to gain insights into the underlying theories on which the transport models are based. The course covers both supply and demand modelling. Link to course syllabus. This course, but with course code ETE366 is also offered as a stand alone course which is possible to take mostly from distance.
• TNK132 Bachelor Thesis Communication and Transportation, 16 ECTS, First cycle, Spring semester

  This course is a project-based course with the aim to apply knowledge from previous courses to a more practical project. The course includes one group based part, which is carried out together with students from another engineering program, and one individual part. Both parts focus on the automation of transportation and logistics systems, specifically on route optimization and communications technologies. Link to course syllabus.
• TNK047 Optimization and System Analysis, 6 ECTS, First cycle, Autumn semester

  The course aims at giving further insight into modelling and optimization of decision problems, including models and methods for optimization problems with discrete variables and problems from game theory. The students can, after the completion of the course, formulate basic models in decision analysis, solve and analyze the formulated models and apply the analysis to practical problems. Link to course syllabus.

In addition to the above stated courses, I am supervisor or examiner for a few master theses per year.

Research

My research focus on transport modelling and applications of transport models. The research is made within a number of projects. I am currently involved in the following projects "Code Flow" and "Multi-modal traffic management" (MMTL) and other project related to demand modelling.

Publications

Below is a list of selected publications. A more complete list of publications in journals and reports can be found at Google Scholar.

• Danielsson, A., Gundlegård, D., Rydergren, C., Tsanakas, N., (2023), Transition towards more efficient road transports: insights from mobility analytics, Handbook on Climate Change and Technology, 180-195.
• Farah, H., Postigo, I., Reddy, N., Dong, Y., Rydergren, C., Raju, N., Olstam, J., (2023), Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice, IEEE Transactions on Intelligent Transportation Systems.
• Tsanakas, N., Gundlegård, D., Rydergren, C., (2023), O-D matrix estimation based on data-driven network assignment, Transportmetrica B: Transport Dynamics, 1-32.
• Breyer, N.,, Rydergren, C., Gundlegård, D., (2022), Semi-supervised Mode Classification of Inter-city Trips from Cellular Network Data, Journal of Big Data Analytics in Transportation, 1-17.
• Liu, C., Tapani, A., Kristoffersson, I., Rydergren, C., Jonsson, D., (2021), Appraisal of cycling infrastructure investments using a transport model with focus on cycling, Case Studies on Transport Policy 9 (1), 125-136.
• Breyer, N., Gundlegård, D., Rydergren, C., (2021), Travel mode classification of intercity trips using cellular network data, Transportation Research Procedia 52, 211-218.
• Tsanakas, N., Ekström, J., Gundlegård, D., Olstam, J., Rydergren, C., (2021), Data-driven network loading, Transportmetrica B: Transport Dynamics, 1-29.
• Liu, C., Tapani, A., Kristoffersson, I., Rydergren, C., Jonsson, D., (2020), Development of a large-scale transport model with focus on cycling, Transportation Research Part A: Policy and Practice 134, 164-183.
• Breyer, N., Rydergren, C., Gundlegård, D., (2020), Comparative Analysis of Travel Patterns from Cellular Network Data and an Urban Travel Demand Model, Journal of Advanced Transportation.
• Kinene, A., Andersson Granberg, T., Polishchuk, V., Rydergren, C., (2020), Decision Support for an Optimal Choice of Subsidised Routes in Air Transportation, Journal of Air Transport Management 82.
• Mendoza, I., Rydergren, C., Tampère C., (2018), Discovering regularity in mobility patterns to identify predictable aggregate supply for ridesharing, Transportation Research Record 2672 (42), 213-223.
• Breyer, N., Gundlegård, D., Rydergren, C., (2018), Cellpath routing and route traffic flow estimation based on cellular network data, Journal of Urban Technology 25 (2), 82-104.

PhD students

In most of the reseach projects that I am involved in also involve at least one PhD candidate. In some of the projects, my involvement is tightly connected to the supervision of a PhD candidate.

• Anna Danielsson, main supervisor

  Started December 2020. Co-supervisor David Gundlegård. Licentiate degree Juni 2024 with title Towards efficient urban road transport using multimodal traffic management.
• Guang Wei, main supervisor

  Started December 2019. Co-supervisor David Gundlegård. Licentiate degree August 2022 with title Calibration of Urban Network Capacities.

Previous PhD students in Infra informatics

• Ivan Postigo, main supervisor

  Co-supervisor Johan Olstam. Licentiate degree September 2022 with title Developing Microscopic Traffic Simulation Models for the Transition Towards Automated Driving. PhD degree March 2025 with the title Microscopic Traffic Simulation of Automated Driving: Modelling and Evaluation of Traffic Performance.
• Angelica Andersson, co-supervisor

  Main supervisor Maria Börjesson. Additional co-supervisors Ida Kristoffersson and Leonid Engelson. Licentiate degree June 2022 with title Mode choice modelling of long-distance passenger transport based on mobile phone network data. PhD degree September 2024 with the title Modelling long-distance travel demand by combining mobile phone and survey data.
• Alan Kinene, co-supervisor

  Main supervisor Tobias Andersson Granberg. Additional co-supervisor Valentin Polishchuk. Licentiate degree February 2021 with title Decision Models for the Procurement of Subsidised Air Services. PhD degree September 2022 with the title Models for the Procurement of Subsidized Air Services: Conventional Aircraft and the Adoption of Electric Aircraft.
• Nils Breyer, main supervisor

  PhD degree May 2021 with title Methods for Travel Pattern Analysis Using Large-Scale Passive Data. Co-supervisors David Gundlegård and Di Yuan. Started December 2015. Licentiate degree June 2019.
• Joakim Ekström, co-supervisor

  Main supervisor Jan Lundgren. PhD degree June 2012 with title Optimization Approaches for Design of Congestion Pricing Schemes.
• Andreas Allström, co-supervisor

  Licentiate degree March 2016 with title Highway Traffic State Estimation and Short-term Prediction. Main supervisor Jan Lundgren.

Recorded presentations

CV

Education

• Docent in Infra Informatics, Linköping University, 2015.
• Doctor of Philosophy, PhD, in Optimization, Linköping University, 2001.
• Master of Science, MSc, in Mathematics, Linköping University, 1995.

Employment

• Professor at the Department of Science and Technology, Linköping University, 2023-.
• Senior associate professor (biträdande professor) at the Department of Science and Technology, Linköping University, 2017-2023.
• Senior lecturer at the Department of Science and Technology, Linköping University, 2002-2017.

Experience

• Member of the program board for Industrial Economics and Logistics (IL), 2021-.
• Member of the board for the Centre of Traffic Research (CTR) at KTH, 2018-.
• Manager of the group/unit Traffic Systems at the Division of Communications and Transport Systems, 2010-. Manager of the Traffic Systems unit with personnel responsibility, 2020-.
• Substitute member of the program board for Industrial Economics and Logistics, 2009-2020.
• Chairman of the program planning group (PPG) for the three programs under the program board Industrial Economics and Logistics taught at Campus Norrköping, 2009-.
• Coordinator for the five-year engineering program Kommunikation, Transport och Samhälle, 2009-.
• Coordinator for the master program profile Traffic Analysis on the five-year engineering program Kommunikation, Transport och Samhälle, 2008-.
• Director of undergraduate studies at the Division of Communications and Transport Systems, 2003-2011.