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André Dahlinger
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Dahlinger
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André
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+41 71 224 7328
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Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A 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:14Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Driver Identification via Brake Pedal Signals - A Replication and Advancement of Existing TechniquesType:conference paperJournal:IEEE International Conference on Intelligent Transportation SystemsVolume:21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Feldexperiment zur Wirksamkeit von konkretem vs. abstraktem Eco-Driving Feedback(2017-03-14); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, FOSTERING 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards the Design of Eco-Driving Feedback Information Systems – A Literature Review(Universitätsverlag, 2016-03-10); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, AN IN-VEHICLE INFORMATION SYSTEM PROVIDING ACCIDENT HOTSPOT WARNINGSAccident hotspots, locations where accidents are historically concentrated, contribute significantly to road traffic accidents being the leading cause of death by injury. A notable improvement in driver safety can be achieved through warnings of known upcoming hazardous features. However, as installing and maintaining traditional road sign infrastructure can be costly, warnings on accident hotspots are not typically available. This paper presents an in-vehicle information system prototype which provides warnings of upcoming accident hotspots based initially on historic data. Additionally, significant research has focused on the identification, analysis and treatment of these accident hotspots. However, a true picture of road safety can be hard to achieve as many traffic accidents go unreported. Information on near-miss events, such as heavy braking or taking evasive action to avoid an accident, could help identify and provide life saving insights into hazardous areas before an accident occurs. The prototype therefore additionally collects vehicle data in order to learn characteristics of accident hotspots and identify near-miss events, in order to improve the system and provide new insights.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Das Potential des vernetzten Autos für die Fahrsicherheit : Lessons Learned anhand ausgewählter Beispiele(Ergonomia, 2015-03-24); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design Science in Practice: Design and Evaluation of an Art Based Information System to Improve Indoor Air Quality at Schools(Springer, 2015-05-20); ; ; Scopus© Citations 5