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Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha and Rattanaporn Kasemsri
Machine learning currently holds a vital position in predicting collision severity. Identifying factors associated with heightened risks of injury and fatalities aids in enhancing road safety measures and management. Presently, Thailand faces considerabl...
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Wachiranun Sirikul, Nida Buawangpong, Ratana Sapbamrer and Penprapa Siviroj
Background: Alcohol-related road-traffic injury is the leading cause of premature death in middle- and lower-income countries, including Thailand. Applying machine-learning algorithms can improve the effectiveness of driver-impairment screening strategie...
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Mariusz Ptak
Every year approximately 1.35 million people die as a consequence of road accidents. Almost 50% of road fatalities are vulnerable road users (VRUs). This research reviews the history of traffic safety for VRUs, presents an interesting insight into the st...
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Artur Petrov
Pág. 493 - 498
According to the analysis of the statistical data of the State Traffic Safety Inspectorate of the Ministry of Internal Affairs of the Russian Federation, the high territorial differentiation of motor transport accident rate indicators has developed in ou...
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Mohamed Mouloud Haddak
Pág. 293 - 302
Few studies have explored, to date, the issue of the monetary valuation of non-fatal injuries caused by road traffic accidents. The present contribution seeks to raise interest in this question and to estimate, by contingent valuation, French households?...
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Petros Evgenikos, George Yannis, Katerina Folla, Robert Bauer, ... Christian Brandstaetter
Pág. 2372 - 2381
Cyclists, while relatively small in proportion with respect to motorized vehicles, have a high level of vulnerability, creating a significant need to better understand the characteristics specific to this user group. A good insight into the problem provi...
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Rob Methorst, Rob Eenink, Joao Cardoso, Klaus Machata, Jacek Malasek
Pág. 2297 - 2305
Unprotected Road Users (URU) are a subset of Vulnerable Road Users (VRU) who are not protected in their vehicles: pedestrians, cyclists and powered two-wheelers. EU statistics for 2014 show that their share in road traffic fatalities was 22% for pedestri...
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Attila Borsos, Miklos Gabor, Csaba Koren
Pág. 2111 - 2120
Regarding traffic safety, railway crossings are crucial points in the rail and road network. In Hungary the safety ranking of railway crossings has been performed since 1993 and the results have been used for selecting unsafe locations and for prioritizi...
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