Impact of traffic oscillations on freeway crash occurrences

Understanding public response to a congestion charge: A random-effects ordered logit approach

“…At city-specific levels, a rise from $3.0 billion to $6.1 billion for Melbourne, and from $1.2 billion to $3.0 billion for Brisbane has been projected (BTRE, 2007). Besides the enormous economic cost, it was found that stop-and-go driving, a typical phenomenon in traffic congestion, increases the odds of being involved in a crash (Zheng et al, 2010).…”

A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction

“…As a classification problem, the pre-crash condition and normal traffic condition have to be defined first (Hossain and Muromachi, 2012). Some studies defined the pre-crash condition as a time period starting right before an accident and extending up to 5 or 10 min (Oh et al, 2005;Zheng et al, 2010), while some studies defined it as a 5 min time period starting from a close time point such as 4 or 5 min before the accident (Abdel-Aty et al, 2008;Hossain and Muromachi, 2012). In this paper, as shown in Fig.…”

Investigation of powered 2-wheeler accident involvement in urban arterials by considering real-time traffic and weather data

“…It is also noted, that the vast majority of studies exploit data from freeways. Concerning accident likelihood in particular, previous research on this topic suggests that the common risk factors are mainly the variations in traffic conditions (Ahmed et al, 2012a and2012b;Ahmed and Abdel-Aty 2012;Xu et al, 2013a andZheng et al, 2010) and low visibility or adverse weather conditions (Xu et al, 2013a;Ahmed et al, 2012b;Abdel-Aty et al, 2012).…”