Zobrazeno 1 - 10
of 1 907
pro vyhledávání: '"Crash severity"'
Publikováno v:
Journal of South Asian Logistics and Transport, Vol 4, Iss 2, Pp 41-65 (2024)
Although Sri Lanka has significant traffic-related fatalities and injuries, only a limited number of studies have focused on the road safety challenge. This study applies the random parameters logit model to police reported crash data to identify the
Externí odkaz:
https://doaj.org/article/7d6de1b7731b4781b72eb9726e8eda6c
Publikováno v:
International Journal of Transportation Science and Technology, Vol 15, Iss , Pp 260-270 (2024)
Freeway ramps are one of the roadway elements that are considered as crash-prone sites with relatively more crashes per mile than other freeway segments. Among other crash types that occurred on freeway ramps, single-vehicle crashes have been found t
Externí odkaz:
https://doaj.org/article/c8d9d7979efd4b479f60a010c6b29fcb
Autor:
Seyed Alireza Samerei, Kayvan Aghabayk
Publikováno v:
IATSS Research, Vol 48, Iss 2, Pp 261-274 (2024)
Run-Off-Road (ROR) crashes are frequent and pose a significant risk of injury and fatality. Given the complexity of their mechanisms and the interaction of multiple factors, this study aims to comprehensively investigate the factors influencing the s
Externí odkaz:
https://doaj.org/article/92b0428f3e9f4bc5aae047bfa1aabdda
Publikováno v:
IATSS Research, Vol 48, Iss 2, Pp 147-157 (2024)
Distracted driving poses one of the most significant risks to road safety. The current study aims to provide a deeper understanding of the factors affecting the severity of distracted driving crashes in New York City and to explore the temporal stabi
Externí odkaz:
https://doaj.org/article/e6452fc5332349619db30ab23dbb7f3e
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35595- (2024)
Providing accurate prediction of the severity of traffic collisions is vital to improve the efficiency of emergencies and reduce casualties, accordingly improving traffic safety and reducing traffic congestion. However, the issue of both the predicti
Externí odkaz:
https://doaj.org/article/849301bd1529487d9946b1603397b900
Publikováno v:
International Journal of Transportation Science and Technology, Vol 13, Iss , Pp 243-257 (2024)
Motorists are required to interact with both roadway infrastructure and various users. The complexity of the driving task in certain scenarios can influence the frequency and severity of crashes. Turning vehicles at intersections, for example, pose a
Externí odkaz:
https://doaj.org/article/8e630d6140f440c980488accd1024922
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30117- (2024)
The crash severity analysis is of significant importance in traffic crash prevention and emergency resource allocation. A range of innovations offers potential traffic crash severity prediction models to improve road safety. However, the semantic inf
Externí odkaz:
https://doaj.org/article/4050464b3b994a74b490a4349fd26405
Autor:
Kamran Aziz, Feng Chen, Inamullah Khan, Shabir Hussain Khahro, Muhammad Abdul Malik, Zubair Ahmed Memon, Afaq Khattak
Publikováno v:
IEEE Access, Vol 12, Pp 139540-139559 (2024)
Millions of lives are lost in road accidents annually, underscoring the severity of traffic incidents. Despite numerous studies on crash severity forecasting with static ensemble machine learning, the potential of Dynamic Ensemble Selection (DES) for
Externí odkaz:
https://doaj.org/article/5c05a5c0be5545d4838d370451d50290
Publikováno v:
Electronic Research Archive, Vol 32, Iss 1, Pp 584-607 (2024)
The factors that affect the severity of crashes must be identified for pedestrian and traffic safety in urban roads. Specifically, in the case of urban road crashes, these crashes occur due to the complex interaction of various factors. Therefore, it
Externí odkaz:
https://doaj.org/article/b2a855a9ff5942039433e546df2faef8
Publikováno v:
Computers, Vol 13, Iss 9, p 232 (2024)
Harnessing the power of Large Language Models (LLMs), this study explores the use of three state-of-the-art LLMs, specifically GPT-3.5-turbo, LLaMA3-8B, and LLaMA3-70B, for crash severity analysis and inference, framing it as a classification task. W
Externí odkaz:
https://doaj.org/article/66eb844c5f9644ca87b7bce21f0d513a