The effective treatment of road crashes constitutes a major concern to societies due to the losses in human lives and also the economic and social costs. Despite the efforts, the total number of road fatalities worldwide remains at 1.24 million per year, while almost half of worldwide fatalities correspond to “vulnerable road users”: pedestrians, cyclists and motorcyclists. Recently, there is a growing trend to record and collect real-time traffic and weather data from freeways. Such data were mainly utilized in order to analyse crash likelihood and severity. A few studies investigate crash likelihood in urban expressways. Moreover, the number of studies exploring the impact of real-time weather characteristics on crashes taking place on urban arterials is relatively few. Despite the fact that freeway safety has been extensively explored, there is very little research regarding on urban arterials internationally. Moreover, there is no specific focus on Powered-Two-Wheelers (PTWs) which constitute a vulnerable type of road users and therefore the investigation of the impact of risk factors measured real-time could be of great importance. In this study, we focus on Powered-Two-Wheeler (PTW) crash likelihood and severity on two similar major urban arterials in Athens, Greece, by utilizing real-time weather parameters. Moreover, studies with focus on Powered-Two-Wheelers (PTWs) are even fewer. The present paper aims to investigate the weather effects on crash likelihood and severity trends of Powered-Two-Wheelers.
| ID | pc311 |
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| Tags | accident analysis, motorcyclists, statistical modelling, traffic management, weather conditions |
