82   Artículos

 
en línea
Muhammad Wisal Khattak, Hans De Backer, Pieter De Winne, Tom Brijs and Ali Pirdavani    
Revista: Infrastructures    Formato: Electrónico

 
en línea
Dimitrios Nikolaou, Anastasios Dragomanovits, Apostolos Ziakopoulos, Aikaterini Deliali, Ioannis Handanos, Christos Karadimas, George Kostoulas, Eleni Konstantina Frantzola and George Yannis    
High quality data on road crashes, road design characteristics, and traffic are typically required to predict crash frequency. Surrogate Safety Measures (SSMs) are an alternative category of indicators that can be used in road safety analyses in order to... ver más
Revista: Infrastructures    Formato: Electrónico

 
en línea
Anteneh Afework Mekonnen, Tibor Sipos and Nóra Krizsik    
Identifying and prioritizing hazardous road traffic crash locations is an efficient way to mitigate road traffic crashes, treat point locations, and introduce regulations for area-wide changes. A sound method to identify blackspots (BS) and area-wide hot... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Thanapong Champahom, Panuwat Wisutwattanasak, Chamroeun Se, Chinnakrit Banyong, Sajjakaj Jomnonkwao and Vatanavongs Ratanavaraha    
Among several approaches to analyzing crash research, the use of machine learning and econometric analysis has found potential in the analysis. This study aims to empirically examine factors influencing the single-vehicle crash for personal cars and truc... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
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... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yang Shen, Changjiang Zheng and Fei Wu    
Urban highway tunnels are frequent accident locations, and predicting and analyzing road conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic operation management. In this paper, 200 traffic accident data from the Yi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yunfei Zhang, Fangqi Zhu, Qiuping Li, Zehang Qiu and Yajun Xie    
Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention. Presently, with the emergence of GIS and data mining technologies, numerous geospat... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Helton Agbewonou Yawovi, Masato Kikuchi and Tadachika Ozono    
Car crashes, known also as vehicle collisions, are recurrent events that occur every day. As long as vehicles exist, vehicle collisions will, unfortunately, continue to occur. When a car crash occurs, it is important to investigate and determine the acto... ver más
Revista: AI    Formato: Electrónico

 
en línea
Muhammad Ashraf Javid, Nazam Ali, Muhammad Abdullah, Tiziana Campisi, Syed Arif Hussain Shah and Suniti Suparp    
Speeding is one of the risky behaviors which results in accident involvement causing fatalities and severe injuries. This paper aimed to identify the significant socio-economic characteristics of drivers concerning their speeding behavior and crash invol... ver más
Revista: Infrastructures    Formato: Electrónico

 
en línea
Ernst Tomasch, Simon Franz Heindl, Gregor Gstrein, Wolfgang Sinz and Hermann Steffan    
Tunnel portals and tunnel lay-bys are hazardous spots for road users. Different infrastructure safety measures are in use, but the protection level is not known. In this study the following safety measures for reducing the injury risk are investigated: a... ver más
Revista: Infrastructures    Formato: Electrónico

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