Title :
Modelling car drivers as believable autonomous agents for a traffic control training game
Author :
Ter-Isahakyan, Levon ; Jaromczyk, Jerzy W.
Author_Institution :
Dept. of Comput. Sci., Univ. of Kentucky, Lexington, KY, USA
fDate :
July 30 2012-Aug. 1 2012
Abstract :
In the context of a training game for road traffic controllers, we discuss issues related to representing and implementing car drivers and their interaction with the driving environment to achieve behavior that fits the definition of believable agents. Drivers are implemented as autonomous agents with a set of individualized characteristics describing “driver personality” that affect their reaction time, tendencies for speeding, etc. Such autonomous agents interact with other cars, obstacles, traffic signals and traffic controllers - who can change traffic patterns - and serve to support simple and believable game simulation and allow instructors to create interesting and representative training units.
Keywords :
computer games; control engineering computing; multi-agent systems; road traffic control; believable agents; believable autonomous agents; car drivers modelling; driver personality; driving environment; reaction time; road traffic controllers; traffic control training game; traffic signals; Acceleration; Autonomous agents; Computational modeling; Games; Roads; Training; Vehicles; autonomous agents; instruction and training; serious games; simulation;
Conference_Titel :
Computer Games (CGAMES), 2012 17th International Conference on
Conference_Location :
Louisville, KY
Print_ISBN :
978-1-4673-1120-5
DOI :
10.1109/CGames.2012.6314582
