Title :
Layered Semi-Markov road generation for driving simulations
Author :
Ostadabbas, Sarah ; Farshbaf, Masoud ; Nourani, Mehrdad ; Addepalli, Sateesh
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
Driving simulators offer several advantages in driver behavioral research, including low cost, repeatable experiments, and the ability to simulate scenarios that would be too dangerous for real cars. An effective simulation must elicit the same responses from drivers as a real car. Several factors contribute to this realism including a good physics engine, a realistic environment, and expected behavior from simulated traffic and drivers. In this paper, we present a novel method of generating a wide variety of realistic roads called Layered Semi-Markov Model. These roads are tested on five drivers with a driver distraction detection experiment. The results of this experiment matched the expected behavior and subjective feedback showed a favorable response.
Keywords :
Markov processes; digital simulation; traffic engineering computing; driver distraction detection experiment; driving simulations; layered semi-Markov road generation; physics engine; realistic environment; simulated traffic; Buildings; Cities and towns; Markov processes; Roads; Vehicles; Wheels;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2198-4
DOI :
10.1109/ITSC.2011.6082820