Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ravindra Gudishala"'
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:1303-1314
Traffic flow disruptions caused by road incidents reduce the performance of transportation networks. Under such conditions, drivers often attempt to reduce delay by diverting to alternate paths, redistributing trips to less congested routes. In the a
Autor:
Edward Collier, Supratik Mukhopadhyay, Alimire Nabijiang, Sanaz Saeidi, Yimin Zhu, Robert DiBiano, Ravindra Gudishala, Qun Liu, Arnab Ganguly, Subhajit Sidhanta, Chanachok Chokwitthaya
Publikováno v:
COMSNETS
Recently, it has been widely accepted by the research community that interactions between humans and cyber-physical infrastructures have played a significant role in determining the performance of the latter. The existing paradigm for designing cyber
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4596d2c4a617a6cd01d48e07942fd242
Autor:
Chester G. Wilmot, Ravindra Gudishala
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2604:82-87
Emergency management and decision support system (EMDSS) tools play an important role in assisting emergency managers with making important decisions about the movement of people to safety when a jurisdiction is threatened by a storm. One of the impo
Autor:
Chester G. Wilmot, Ravindra Gudishala
Publikováno v:
International Journal of Transportation. 4:1-14
Autor:
Yimin Zhu, Qun Liu, Supratik Mukhopadhyay, Sanaz Saeidi, Alimire Nabijiang, Ravindra Gudishala
Publikováno v:
IJCNN
Route Choice Models predict the route choices of travelers traversing an urban area. Most of the route choice models link route characteristics of alternative routes to those chosen by the drivers. The models play an important role in prediction of t
Publikováno v:
Computing in Civil Engineering 2019.
Autor:
Chester G. Wilmot, Ravindra Gudishala
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2376:38-44
This study examines the predictive accuracy of a time-dependent sequential logit evacuation demand model. The model was estimated on revealed preference data and applied to stated choice data collected in the same survey. The survey was conducted in
Autor:
Chester G. Wilmot, Ravindra Gudishala
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2312:134-140
Models that predict hurricane evacuation demand can play a crucial role in developing and evaluating alternative evacuation policies and plans. However, to evaluate alternative policies effectively, evacuation demand models should be sensitive to tim
Publikováno v:
Journal of Materials in Civil Engineering. 19:986-992
Current pavement design procedures recommend the resilient modulus of subgrade materials for pavement design and analysis. The objective of this paper is to develop two statistical models to predict the resilient modulus of subgrade cohesive soils fr