This paper proposed an intelligent RFID traffic cone that is applied for vehicle accident detection and identification based on image compressing analysis and RFID detection tracking in an accident clamming system and traffic reporting system. The gain benefit of this paper can reduce the waiting time of an accident clamming process that usually used along time with normally vehicle crash acces...

In Flanders, approximately 1014 accident locations are currently considered as ‘dangerous’. These ‘dangerous’ accident sites or ‘black spots’ are selected by means of their historic accident data for the period 1997-1999. More specifically; a combination of weighting values, respectively 1 for each light injury, 3 for each serious injury and 5 for each deadly injury (1_3_5), is used to rank and...

Over the past decade, automatic traffic accident recognition has become a prominent objective in the area of machine vision and pattern recognition because of its immense application potential in developing autonomous Intelligent Transportation Systems (ITS). In this paper, we present a new framework toward a real-time automated recognition of traffic accident based on the Histogram of Flow Gra...

Road traffic accidents (RTAs) are a major public health concern, resulting in an estimated 1.2 million deaths and 50 million injuries worldwide each year. In the developing world, RTAs are among the leading cause of death and injury; Ethiopia in particular experiences the highest rate of such accidents. Thus, methods to reduce accident severity are of great interest to traffic agencies and the ...