TY - GEN
T1 - A Driver Modeling Methodology Using Hypothetical Reasoning for Multiagent Traffic Simulation
AU - Tanaka, Yusuke
AU - Nakajima, Yuu
AU - Hattori, Hiromitsu
AU - Ishida, Toru
PY - 2009
Y1 - 2009
N2 - We propose how to acquire driver's individual operation models using the three-dimensional driving simulator in order to implement distinct personalities on each agent. In this paper, operation models are defined as sets of prioritized operation rules, each of which consists of the world as observed by a driver and his/her next operation according to the observation. Each driver might have different set of rules and their priorities. We apply a method to acquire individual operation models using hypothetical reasoning. Because of the method, we are able to obtain operation models which can explain driver's operation during driving simulation. We show some operation models acquired from aged/young human drivers, and then clarify the proposed method can catch each driver's characteristics.
AB - We propose how to acquire driver's individual operation models using the three-dimensional driving simulator in order to implement distinct personalities on each agent. In this paper, operation models are defined as sets of prioritized operation rules, each of which consists of the world as observed by a driver and his/her next operation according to the observation. Each driver might have different set of rules and their priorities. We apply a method to acquire individual operation models using hypothetical reasoning. Because of the method, we are able to obtain operation models which can explain driver's operation during driving simulation. We show some operation models acquired from aged/young human drivers, and then clarify the proposed method can catch each driver's characteristics.
UR - http://www.scopus.com/inward/record.url?scp=67650333278&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-01639-4_24
DO - 10.1007/978-3-642-01639-4_24
M3 - Conference contribution
AN - SCOPUS:67650333278
SN - 3642016383
SN - 9783642016387
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 278
EP - 287
BT - Agent Computing and Multi-Agent Systems - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Revised Papers
T2 - 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007
Y2 - 21 November 2007 through 23 November 2007
ER -