Developing a parameterized simulation platform with intelligent synthetic agents for training driver candidates
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This study presents a driver Traffic Training Simulator (TTS) that utilizes intelligent synthetic actors. The movements of intelligent actors are realized using a network flow graph consisting of segment nodes. The intelligent actors in traffic are capable of such objectives as vehicles and lane following. In addition, they are capable of moving according to the traffic signs and lights. The duration of traffic lights can parametrically be determined by the simulator interface. Moreover, parametric values such as weather conditions, seasons, and sunlight can be fed to the simulator as inputs. Similarly, the type of the driver's vehicle and other intelligent vehicles and their numbers can also be parametrically determined. The driver is able to drive in the heavy and light traffic conditions. Currently we are focusing on incorporating the hardware components into the system. Following the tests for the candidates with the system is expected to take place in driver training schools. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.
Açıklama
1st World Conference on Information Technology (WCIT) -- OCT 06-10, 2010 -- Bahcesehir Univ, Istanbul, TURKEY
Anahtar Kelimeler
Computer Graphics, traffic simulation, scene graph, finite state machines, intelligent agents
Kaynak
World Conference On Information Technology (Wcit-2010)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
3
