Selpi Selpi

Researcher at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety, Olycksanalys och prevention

Selpi is employed at the Division of Vehicle Safety at Chalmers. Her office is at SAFER, Lindholmspiren 3, Lindholmen Science Park, Göteborg.Beside conducting research, leading research projects, supervising students, and teaching, she also has a role as the Director of Doctoral Studies in Machine and Vehicle Systems.She has a PhD degree in Computing. Her PhD thesis is on application of a machine learning technique, called Inductive Logic Programming, for a bioinformatics problem related to gene regulation. Her current interests include: applications of machine learning and data mining for transport-related domain (e.g., understanding driving styles/driver behaviour from naturalistic driving data, travel time and traffic volume predictions, text-mining for text data in transport) and studying the impact of mixed traffic (with different automation levels) on both traffic safety and traffic efficiency.

Source: chalmers.se

Showing 20 publications

2018

Using Scaling Methods to Improve Support Vector Regression’s Performance for Travel Time and Volume Predictions

Amanda Yan Lin, Mengcheng Zhang, Selpi Selpi
Time Series Analysis and Forecasting, Contributions to Statistics, p. 115-127
Book chapter
2018

The Relationship between Different Safety Indicators in Car-following Situations

Tong Liu, Selpi Selpi, Rui Fu
IEEE Intelligent Vehicles Symposium, Proceedings, p. 1515-1520
Paper in proceedings
2017

Combining Support Vector Regression with Scaling Methods for Highway Tollgates Travel Time and Volume Predictions

Amanda Yan Lin, Mengcheng Zhang, Selpi Selpi
Proceedings of International Work-Conference on Time Series Analysis (ITISE 2017), Granada, 18-20 September 2017. Vol. 1, p. 411-421
Paper in proceedings
2017

Economics of Road Safety – What does it imply under the 2030 Agenda for Sustainable Development?

Jac Wismans, Selpi Selpi, Marie Thynell et al
10th Regional Environmentally Sustainable Transport (EST) Forum in Asia, 14-16 March 2017 in Vientiane, Lao PDR, p. 1-58
Conference contribution
2015

A Review of Research on Driving Styles and Road Safety

Fridulv Sagberg, Selpi Selpi, Giulio Bianchi Piccinini et al
Human Factors. Vol. 57 (No. 7, November 2015), p. 1248- 1275
Journal article
2015

Driving Signature Extraction

Ekim Yurtsever, Chiyomi Miyajima, Selpi Selpi et al
Proceedings of the 3rd International Symposium on Future Active Safety Technology Towards Zero Traffic Accidents (FAST-zero 2015)
Paper in proceedings
2015

The effect of curve geometry on driver behaviour in curves by using naturalistic driving data

Andréa Palmberg, Jakob Imberg, Selpi Selpi et al
Proceedings of the 3rd International Symposium on Future Active Safety Technology Towards Zero Traffic Accidents (FAST-zero 2015)
Paper in proceedings
2015

Mutual Recognition Methodology Development

Carol A.C. Flannagan, Paul E. Green, Kathleen D. Klinich et al
Report
2012

Deliverable D3.3: Data management in euroFOT

Selpi Selpi, Samuel Borgen, Jonas Bärgman et al
Report
2012

Investigating visually distracted driver reactions in rear-end crashes and near crashes based on 100-car study data

Henrik Lind, Selpi Selpi, Marco Dozza
In D. de Waard, N. Merat, A.H. Jamson, Y. Barnard, and O.M.J. Carsten (Eds.) (2012). Human Factors of Systems and Technology, p. 201-211
Paper in proceedings
2012

Deliverable D5.3: Final delivery of data and answers to questionnaires

Stefanie Schoch, Leandro Guidotti, Andràs Csepinszky et al
Report
2012

Deliverable D11.3: Final Report

Christoph Kessler, Aria Etemad, Giancarlo Alessandretti et al
Report
2011

Automatic real-time FACS-coder to anonymise drivers in eye tracker videos

Selpi Selpi, Torsten Wilhelm, Marcus N E Jansson et al
Proceedings of the IEEE International Conference on Computer Vision. 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011, Barcelona, 6-13 November 2011, p. 1986-1993
Paper in proceedings
2011

On data security and analysis platforms for analysis of naturalistic driving data

Jonas Bärgman, Helena Gellerman, Jordanka Kovaceva et al
Proceedings of the 8th European Congress and Exhibition on Intelligent Transport Systems and Services, June 2011, Lyon
Paper in proceedings
2009

Predicting functional upstream open reading frames in Saccharomyces cerevisiae

Selpi Selpi, Christopher H. Bryant, Graham Kemp et al
BMC Bioinformatics. Vol. 10, p. 451-
Journal article
2008

Using mRNA Secondary Structure Predictions Improves Recognition of Known Yeast Functional uORFs

Selpi Selpi, C. H. Bryant, Graham Kemp
Wehenkel, L., d'Alché-Buc, F., Moreau, Y. and Geurts, P. (eds.) MLSB08, The Second International Workshop on Machine Learning in Systems Biology, Brussels, 13-14 September 2008., p. 85-93
Paper in proceedings
2007

Using Inductive Logic Programming to Predict Functional Upstream Open Reading Frames in Yeast

Selpi Selpi, C. H. Bryant, Graham Kemp et al
15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Vienna, Austria, 21-25 July 2007
Conference poster
2006

A First Step towards Learning which uORFs Regulate Gene Expression

Selpi Selpi, C. H. Bryant, Graham Kemp et al
Journal of integrative bioinformatics. Vol. 3 (2), p. 31-
Journal article
2005

Using the Functional Data Model to Store and Query Recursive Biological Data

Graham Kemp, Selpi Selpi, Merja Karjalainen
Workshop on Database Issues in Biological Databases (DBiBD),8-9 January 2005, Edinburgh, UK, p. 24-28
Conference contribution
2004

Pathway and Protein Interaction Data: from XML to FDM Database

Graham Kemp, Selpi Selpi
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2994, p. 212-219
Journal article

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Showing 7 research projects

2019–2021

Driving styles of autonomous vehicles in mixed traffic (DS-Auto)

Selpi Selpi Vehicle Safety
Pinar Boyraz Baykas Vehicle Safety
Chalmers

2019–2021

Public transit shared mobility - connected and safe solutions

Xiaobo Qu GeoEngineering
Selpi Selpi Vehicle Safety
Balázs Adam Kulcsár Automatic Control
Chalmers

2019–2020

Transition to Transport System of the Future: Multi-Level Infrastructure Planning for Autonomous Vehicles

Pinar Boyraz Baykas Vehicle Safety
Selpi Selpi Vehicle Safety
Robert Thomson Vehicle Safety
Ivana Tasic GeoEngineering
Balázs Adam Kulcsár Automatic Control
Nikolce Murgovski Mechatronics
Chalmers

2017–2017

Creating a core-enabler for evaluating scenarios of mixed vehicular traffic

Selpi Selpi Vehicle Safety
Robert Thomson Vehicle Safety
Balázs Adam Kulcsár Automatic Control
Jordanka Kovaceva Vehicle Safety
Chalmers

2015–2019

Analysis of SHRP2 Data to Understand Normal and Abnormal Driving Behavior in Work Zones: Phase II

Selpi Selpi Vehicle Safety
Robert Thomson Vehicle Safety
Jordanka Kovaceva Vehicle Safety
Federal Highway Administration (FHWA)

2015–2016

Att bättre förstå körstil från naturalistisk kördata

Selpi Selpi Accident Prevention
Swedish Transport Administration

2015–2016

Driver modelling and cross-cultural analysis of driving styles based on large-scale driving data

Selpi Selpi Accident Prevention
Robert Thomson Vehicle Safety
Giulio Bianchi Piccinini Vehicle Safety
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT)

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