A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd
Abstract
Virtualized traffic via various simulation models and real‐world traffic data are promising approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the virtual traffic, including, but not limited to, video games, virtual reality, traffic engineering and autonomous driving. In this survey, we provide a comprehensive review on the state‐of‐the‐art techniques for traffic simulation and animation. We start with a discussion on three classes of traffic simulation models applied at different levels of detail. Then, we introduce various data‐driven animation techniques, including existing data collection methods, and the validation and evaluation of simulated traffic flows. Next, we discuss how traffic simulations can benefit the training and testing of autonomous vehicles. Finally, we discuss the current states of traffic simulation and animation and suggest future research directions.
Description
@article{10.1111:cgf.13803,
journal = {Computer Graphics Forum},
title = {{A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving}},
author = {Chao, Qianwen and Bi, Huikun and Li, Weizi and Mao, Tianlu and Wang, Zhaoqi and Lin, Ming C. and Deng, Zhigang},
year = {2020},
publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13803}
}