Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chinmaya Samal"'
Publikováno v:
SMARTCOMP
The rise in deep learning models in recent years has led to various innovative solutions for intelligent transportation technologies. Use of personal and on-demand mobility services puts a strain on the existing road network in a city. To mitigate th
Publikováno v:
ICCPS
This work presents a dashboard tool that helps emergency responders analyze and manage spatial-temporal incidents like crime and traffic accidents. It uses state-of-the-art statistical models to learn incident probabilities based on factors such as p
The problem of dispatching emergency responders to service traffic accidents, fire, distress calls and crimes plagues urban areas across the globe. While such problems have been extensively looked at, most approaches are offline. Such methodologies f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33cf552d697be183bf2b3a7856bdc41d
http://arxiv.org/abs/1902.08274
http://arxiv.org/abs/1902.08274
Publikováno v:
ITSC
The high capacity utilization and the pre-dominantly single-track network topology of freight railroads in the United States causes large variability and unpredictability of train arrival times. Predicting accurate estimated times of arrival (ETAs) i
Autor:
Chinmaya Samal
Publikováno v:
SMARTCOMP
The transportation industry is changing at a rapid pace today than at any point in history with the introduction of autonomous vehicles and ride-sharing platforms such as Uber, Lyft. The increasing rate of urbanization has added pressure on the alrea
Publikováno v:
SMARTCOMP
Unpredictability is one of the top reasons that prevent people from using public transportation. To improve the on-time performance of transit systems, prior work focuses on updating schedule periodically in the long-term and providing arrival delay
Publikováno v:
SMARTCOMP
Transportation management platforms provide communities the ability to integrate the available mobility options and localized transportation demand management policies. A central component of a transportation management platform is the mobility plann
Publikováno v:
SMARTCOMP
Data generated by GPS-equipped probe vehicles, especially public transit vehicles can be a reliable source for traffic speed estimation. Traditionally, this estimation is done by learning the parameters of a model that describes the relationship betw
Publikováno v:
SMARTCOMP
The on-time arrival performance of vehicles at stops is a critical metric for both riders and city planners to evaluate the reliability of a transit system. However, it is a non-trivial task for transit agencies to adjust the existing bus schedule to