Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pranesh Biswas"'
Publikováno v:
Transportation Engineering, Vol 12, Iss , Pp 100174- (2023)
Dynamic dilemma zone protection (DZP) system with continuous vehicle tracking via radar sensors has been implemented at multiple locations in Alabama to promote the safety and operational efficiency of high-speed signalized intersections. The present
Externí odkaz:
https://doaj.org/article/cb20a41f49f44db69fb4fcb0fb5b2643
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:570-587
Inductive-loop detectors are still used in many intersections because highway agencies have insufficient budget to replace them with new technologies or when accurate traffic monitoring is not necessary. Particularly, long-loop stop-bar detectors hav
Publikováno v:
Journal of Transportation Engineering, Part A: Systems. 148
Blowing and drifting snow is a major issue in cold regions. Properly designed snow fences have been proven effective in mitigating its negative impacts. Following Federal Highway Administra...
Autor:
Llc Sustainable Salting Solutions, Mark Cornwell, Xianming Shi, Sen Du, Pranesh Biswas, John Petrie, Al Adib Sarker, Yan Qi
Blowing snow accounts for a large part of Illinois Department of Transportation’s total winter maintenance expenditures. This project aims to develop recommendations on the design and placement of living snow fences (LSFs) to minimize snowdrift on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b015401fd613c7590e3efb3c8da7fff
https://doi.org/10.36501/0197-9191/20-019
https://doi.org/10.36501/0197-9191/20-019
Serving as a windbreak, properly sited and designed snow fences have been proven effective in mitigating the negative impacts of blowing snow. To achieve the best snow-control effects, the ideal locations for snow fences are usually outside the roadw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc4348016c8134940d27fbaedfe61456
https://doi.org/10.36501/0197-9191/20-020
https://doi.org/10.36501/0197-9191/20-020
Publikováno v:
Transportation Research Part C: Emerging Technologies. 130:103310
This paper proposes an innovative framework of predicting driver behavior under varying dilemma zone conditions using artificial intelligence-based machine learning. The framework utilizes multiple machine learning techniques to process vehicle attri