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The Scientific World Journal
Volume 2015, Article ID 340576, 9 pages
http://dx.doi.org/10.1155/2015/340576
Research Article

Traffic and Driving Simulator Based on Architecture of Interactive Motion

1University of Nevada, Las Vegas, Civil and Environmental Engineering and Construction, Las Vegas, NV 89154, USA
2University of Nevada, Las Vegas, Electrical and Computer Engineering, Las Vegas, NV 89154, USA
3Pontificia Universidad Católica de Valparaíso, Facultad de Ciencias Económicas y Administrativas, Escuela de Comercio, Avenida Brasil 2830, 2340031 Valparaíso, Chile
4Faculty of Law, Transilvania University of Brasov, 500036 Brasov, Romania

Received 9 April 2015; Accepted 3 September 2015

Academic Editor: Balasubramanie Palanisamy

Copyright © 2015 Alexander Paz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian simulation, (iii) motorcycling and bicycling simulation, and (iv) traffic flow simulation. The architecture has been designed to enable the simulation of the entire network; as a result, the actual driver, pedestrian, and bike rider can navigate anywhere in the system. In addition, the background traffic interacts with the actual human beings. This is accomplished by using a hybrid mesomicroscopic traffic flow simulation modeling approach. The mesoscopic traffic flow simulation model loads the results of a user equilibrium traffic assignment solution and propagates the corresponding traffic through the entire system. The microscopic traffic flow simulation model provides background traffic around the vicinities where actual human beings are navigating the system. The two traffic flow simulation models interact continuously to update system conditions based on the interactions between actual humans and the fully simulated entities. Implementation efforts are currently in progress and some preliminary tests of individual components have been conducted. The implementation of the proposed architecture faces significant challenges ranging from multiplatform and multilanguage integration to multievent communication and coordination.