Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ramin Arvin"'
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
In order to develop a sustainable, safe, and dynamic transportation system, proper attention must be paid to the safety of pedestrians. The purpose of this study is to analyze the surrogate measures related to pedestrian crash exposure in urban roads
Externí odkaz:
https://doaj.org/article/66f234a97bff48849b39c87972cca156
Publikováno v:
Journal of Safety Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::835f5bc5f3d0f54c6006c7f6b333c7c1
https://doi.org/10.1016/j.jsr.2023.01.003
https://doi.org/10.1016/j.jsr.2023.01.003
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 80:203-217
Models for describing the microscopic driving behavior rarely consider the “social effects” on drivers’ driving decisions. However, social effect can be generated due to interactions with surrounding vehicles and affect drivers’ driving behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b1b240cef7cf1d62e320c1047f7937
https://doi.org/10.1016/j.trf.2021.04.002
https://doi.org/10.1016/j.trf.2021.04.002
Publikováno v:
Accident; analysis and prevention. 181
Vehicle automation, manifested in self-driving cars, promises to provide safe mobility by reducing human errors. While the testing of automated vehicles (AVs) has improved their performance in recent years, automation technologies face challenges suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55c7d8cc725a646940570df46f36b8e6
https://pubmed.ncbi.nlm.nih.gov/36580765
https://pubmed.ncbi.nlm.nih.gov/36580765
Publikováno v:
Journal of Intelligent Transportation Systems. 25:170-187
Connected and Automated Vehicles (CAVs) can potentially improve the performance of the transportation system by reducing human errors. This paper investigates the safety impact of CAVs in a mixed t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe5b5128426f9a89e1862b485c8c901
https://doi.org/10.1080/15472450.2020.1834392
https://doi.org/10.1080/15472450.2020.1834392
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2674:253-267
Connected and automated vehicle technologies have the potential to significantly improve transportation system performance. In particular, advanced driver-assistance systems, such as adaptive cruise control (ACC) and cooperative adaptive cruise contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d278f4829539daa765887c0f918778d
https://doi.org/10.1177/0361198120918572
https://doi.org/10.1177/0361198120918572
Publikováno v:
Journal of Intelligent Transportation Systems. 24:264-278
Vehicle-to-vehicle (V2V) communication using Dedicated Short Range Communications (DSRC) technology promises to help drastically reduce vehicle collisions. DSRC allows vehicles in a highly mobile a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462d4e1cc57eedb6b57a730e6c692e56
https://doi.org/10.1080/15472450.2020.1721289
https://doi.org/10.1080/15472450.2020.1721289
Publikováno v:
Journal of Intelligent Transportation Systems. 24:404-420
With the emergence of the internet of things, pathfinding problems have recently received a significant amount of attention. Various commercial applications provide automated routing by considering...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2402d575eb54e9d59fb00ff0da112a2
https://doi.org/10.1080/15472450.2019.1699077
https://doi.org/10.1080/15472450.2019.1699077
Publikováno v:
Accident Analysis & Prevention. 180:106923
As automated vehicles are deployed across the world, it has become critically important to understand how these vehicles interact with each other, as well as with other conventional vehicles on the road. One such method to achieve a deeper understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aba5f519759a08d32dfffe836835ac81
https://doi.org/10.1016/j.aap.2022.106923
https://doi.org/10.1016/j.aap.2022.106923
Publikováno v:
Accident Analysis & Prevention. 179:106880
Accurate crash frequency prediction is critical for proactive safety management. The emerging connected vehicles technology provides us with a wealth of vehicular motion data, which enables a better connection between crash frequency and driving beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d4dba9e11db929904ea3ce97e992386
https://doi.org/10.1016/j.aap.2022.106880
https://doi.org/10.1016/j.aap.2022.106880