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Bernhard Gahr
Former Member
Last Name
Gahr
First name
Bernhard
Phone
+41 71 224 7246
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1 - 5 of 5
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PublicationType: conference paper
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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
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PublicationType: conference paperJournal: IEEE International Conference on Intelligent Transportation SystemsVolume: 21
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PublicationFeldexperiment zur Wirksamkeit von konkretem vs. abstraktem Eco-Driving Feedback( 2017-03-14)
;Tiefenbeck, Verena ;Ryder, BenType: conference paper -
PublicationAN 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