Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Linsen Chong"'
Autor:
Linsen Chong, Carolina Osorio
Publikováno v:
MIT Web Domain
This paper addresses large-scale urban transportation optimization problems with time-dependent continuous decision variables, a stochastic simulation-based objective function, and general analytical differentiable constraints. We propose a metamodel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72802df29402b87ef3f62d5ece1f64d1
https://doi.org/10.1287/trsc.2016.0717
https://doi.org/10.1287/trsc.2016.0717
Autor:
Carolina Osorio, Linsen Chong
Publikováno v:
Transportation Science. 49:623-636
This paper proposes a computationally efficient simulation-based optimization (SO) algorithm suitable to address large-scale generally constrained urban transportation problems. The algorithm is based on a novel metamodel formulation. We embed the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6745cde538bf0f87b503952963e56476
https://doi.org/10.1287/trsc.2014.0550
https://doi.org/10.1287/trsc.2014.0550
Publikováno v:
Transportation Research Part C: Emerging Technologies. 32:207-223
This paper proposes a rule-based neural network model to simulate driver behavior in terms of longitudinal and lateral actions in two driving situations, namely car-following situation and safety critical events. A fuzzy rule based neural network is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2953660215a650407faf86f49b835017
https://doi.org/10.1016/j.trc.2012.09.011
https://doi.org/10.1016/j.trc.2012.09.011
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2249:44-51
Two microscopic simulation methods are compared for driver behavior: the Gazis–Herman–Rothery (GHR) car-following model and a proposed agent-based neural network model. To analyze individual driver characteristics, a back-propagation neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcd4bc87ce74ccba2ed91424a38b1dbc
https://doi.org/10.3141/2249-07
https://doi.org/10.3141/2249-07
Publikováno v:
Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d25f789ad3054a54786847f88b74760
https://doi.org/10.1109/wsc.2012.6465329
https://doi.org/10.1109/wsc.2012.6465329
Autor:
Carolina Osorio, Linsen Chong
Publikováno v:
Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e73d882139e03f76b3a5adbb5070f0
https://doi.org/10.1109/wsc.2012.6465156
https://doi.org/10.1109/wsc.2012.6465156
Publikováno v:
ITSC
An agent-based multi-layer reinforcement learning (RL) framework for naturalistic driving behavior simulation in traffic is introduced. Each agent is a replication of an individual driver. Each agent is implemented by applying artificial intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c75d53ae81aacae66505d56ad2603453
https://doi.org/10.1109/itsc.2011.6083005
https://doi.org/10.1109/itsc.2011.6083005
Publikováno v:
ITSC
An agent-based, artificial intelligence technique known as reinforcement learning has been used to capture vehicle behavior and simulate driver's actions in traffic, especially during emergency situations. This paper discusses the training parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc4f10b36e3e3b1404378bf8221e4cf
https://doi.org/10.1109/itsc.2011.6083090
https://doi.org/10.1109/itsc.2011.6083090
Autor:
Montasir M Abbas, Linsen Chong
Publikováno v:
ITSC
The purpose of timing plan optimization is to decrease delay and increase the overall performance of transportation network. This paper presents an agent-based reinforcement learning framework to train optimization agents to take appropriate actions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b31fe37ce9dad7735988804889cbd2
https://doi.org/10.1109/itsc.2010.5625260
https://doi.org/10.1109/itsc.2010.5625260
Publikováno v:
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC); 2011, p1797-1802, 6p