Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Islam, Zubayer"'
The real-time crash likelihood prediction model is an essential component of the proactive traffic safety management system. Over the years, numerous studies have attempted to construct a crash likelihood prediction model in order to enhance traffic
Externí odkaz:
http://arxiv.org/abs/2307.03854
Speeding has been and continues to be a major contributing factor to traffic fatalities. Various transportation agencies have proposed speed management strategies to reduce the amount of speeding on arterials. While there have been various studies do
Externí odkaz:
http://arxiv.org/abs/2303.16396
Autor:
Wang, Zijin, Zheng, Ou, Li, Liangding, Abdel-Aty, Mohamed, Cruz-Neira, Carolina, Islam, Zubayer
Digital Twin is an emerging technology that replicates real-world entities into a digital space. It has attracted increasing attention in the transportation field and many researchers are exploring its future applications in the development of Intell
Externí odkaz:
http://arxiv.org/abs/2212.05090
Intersection safety often relies on the correct modelling of signal phasing and timing parameters. A slight increase in yellow time or red time can have significant impact on the rear end crashes or conflicts. This paper aims to identify the relation
Externí odkaz:
http://arxiv.org/abs/2210.05044
Autor:
Islam, Zubayer, Abdel-Aty, Mohamed
Crash events identification and prediction plays a vital role in understanding safety conditions for transportation systems. While existing systems use traffic parameters correlated with crash data to classify and train these models, we propose the u
Externí odkaz:
http://arxiv.org/abs/2203.06059
Autor:
Islam, Zubayer, Abdel-Aty, Mohamed
In this work, we focus on detecting emergency vehicles using only audio data. Improved and quick detection can help in faster preemption of these vehicles at signalized intersections thereby reducing overall response time in case of emergencies. Impo
Externí odkaz:
http://arxiv.org/abs/2202.01367
Publikováno v:
In Accident Analysis and Prevention June 2024 201
Publikováno v:
In Accident Analysis and Prevention April 2024 198
Publikováno v:
In Accident Analysis and Prevention September 2023 189
Publikováno v:
In Accident Analysis and Prevention March 2023 181