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pro vyhledávání: '"Banishree Ghosh"'
Comparison of different Bayesian methods for estimating error bars with incident duration prediction
Autor:
Justin Dauwels, Banishree Ghosh
Publikováno v:
Journal of Intelligent Transportation Systems. 26:420-431
Traffic congestion which has been a common problem faced by almost all of the metropolitan cities across the world is caused by non-recurring traffic incidents such as accidents and vehicle breakdo...
Predicting the duration and impact of the non-recurring road incidents on the transportation network
Autor:
Banishree Ghosh
Non-recurring incidents such as accidents, vehicle breakdowns, etc. are leading causes of severe traffic congestion in large cities. Consequently, anticipating the impact of such events in advance can be highly useful in mitigating the resultant cong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac86e17124405f32ffd5a284ebc56da7
https://hdl.handle.net/10356/90152
https://hdl.handle.net/10356/90152
Publikováno v:
ITSC
The variable message signs, abbreviated as VMS messages, are disseminated through LED displays to provide the travelers and motorists information, warning and guidance on the current traffic situation. As an advanced traffic guidance system, the VMS
Publikováno v:
SSCI
The queue length of an incident refers to the number of upstream links (i.e., links in the opposite direction of traffic flow) experiencing congestion due to the incident. In our work, we fuse incident records with traffic speed data from the express
Publikováno v:
2016 IEEE Region 10 Conference (TENCON).
Traffic incidents such as accidents or vehicle breakdowns are one of the major causes of traffic congestion in urban areas. Consequently, accurate prediction of duration of these incidents is considered as one of the most important challenges by traf
Autor:
Justin Dauwels, Wentong Cai, Ulrich Fastenrath, Banishree Ghosh, Muhammad Tayyab Asif, Hongliang Guo
Publikováno v:
ITSC
In metropolitan areas, about 50% of traffic delays are caused by non-recurring traffic incidents. Hence, accurate prediction of the duration of such events is critical for traffic management authorities. In this paper, we study the predictability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33ff9043e835953f9989886a76222474
http://hdl.handle.net/10220/42471
http://hdl.handle.net/10220/42471