Options
Felix Wortmann
Title
Prof. Dr.
Last Name
Wortmann
First name
Felix
Email
felix.wortmann@unisg.ch
Phone
+41 71 224 7325
Homepage
Now showing
1 - 10 of 14
-
PublicationDriver Identification via the Steering Wheel( 2019-09-09)
-
PublicationThe impact of numerical vs. symbolic eco-driving feedback on fuel consumption – A randomized control field trial(Elsevier Science, 2018-12)
Scopus© Citations 20 -
PublicationSpatial prediction of traffic accidents with critical driving events – Insights from a nationwide field study(Elsevier Science, 2018-05)
Scopus© Citations 14 -
PublicationType: conference paper
-
PublicationA Crowd Sensing Approach to Video Classification of Traffic Accident HotspotsDespite various initiatives over the recent years, the number of traffic accidents has been steadily increasing and has reached over 1.2 million fatalities per year world wide. Recent research has highlighted the positive effects that come from educating drivers about accident hotspots, for example, through in-vehicle warnings of upcoming dangerous areas. Further, it has been shown that there exists a spatial correlation between to locations of heavy braking events and historical accidents. This indicates that emerging accident hotspots can be identified from a high rate of heavy braking, and countermeasures deployed in order to prevent accidents before they appear. In order to contextualize and classify historic accident hotspots and locations of current dangerous driving maneuvers, the research at hand introduces a crowd sensing system collecting vehicle and video data. This system was tested in a naturalistic driving study of 40 vehicles for two months, collecting over 140,000km of driving data and 36,000 videos of various traffic situations. The exploratory results show that through applying data mining approaches it is possible to describe these situations and determine information regarding the involved traffic participants, main causes and location features. This enables accurate insights into the road network, and can help inform both drivers and authorities.Type: conference paperJournal: Lecture Notes in Computer Science (LNCS)Volume: 14
-
PublicationType: conference paperJournal: IEEE International Conference on Intelligent Transportation SystemsVolume: 21
-
PublicationFeldexperiment zur Wirksamkeit von konkretem vs. abstraktem Eco-Driving Feedback( 2017-03-14)
-
PublicationFOSTERING PRO-ENVIRONMENTAL BEHAVIOR WITH GREEN CONSUMER IS: THE EFFECTS OF IS-INDUCED CONSTRUAL AND GENERAL IS USAGE MOTIVATIONSIn the context of the environmental challenges we are facing, technology is often seen as both a cause of and a potential remedy for humanity’s environmental impact. Green consumer infor-mation systems (IS) have shown to be powerful in promoting individuals’ pro-environmental be-havior. Yet, there is little knowledge about the mechanisms of how information systems lead to a sustainable change in behavior for the good. To fill this gap, we propose an experiment on the basis of a research model that sheds light on two critical aspects of how green consumer IS af-fects pro-environmental behavior: First, green consumer IS may be used to induce higher-level construals that foster superordinate determinants of pro-environmental behavior by displaying rather abstract than concrete information. Second, we analyze the direct and indirect role of technology adoption as a means to motivate pro-environmental behavior. To test our hypothe-ses, we propose an online experiment on eco-driving feedback and present first drafts of stimuli. Implications for consumer IS theory as well as for practice regarding feedback design are dis-cussed.Type: conference paper
-
PublicationTowards the Design of Eco-Driving Feedback Information Systems – A Literature Review(Universitätsverlag, 2016-03-10)
-
PublicationDas Potential des vernetzten Autos für die Fahrsicherheit : Lessons Learned anhand ausgewählter Beispiele(Ergonomia, 2015-03-24)