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Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation
Joint Authors
Wang, Zonghui
El Rhalibi, Abdennour
Xu, Mingliang
Lu, Xuequan
Chen, Wenzhi
Source
International Journal of Computer Games Technology
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
We present a novel model called A2R—“Adaptive-AR”—based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows.
However, in the standard continuum-based model, vehicles usually follow the flows passively, without taking into account drivers' behavior and effectiveness.
In order to simulate real-life traffic flows, we extend the model with a few factors, which include the effectiveness of drivers' prediction, drivers' reaction time, and drivers' types.
We demonstrate that our A2R model is effective and the results of the experiments agree well with experience in real world.
It has been shown that such a model makes vehicle flows perform more realistically and is closer to the real-life traffic than AR (short for Aw and Rascle and introduced in Aw and Rascle (2000)) model while having a similar performance.
American Psychological Association (APA)
Lu, Xuequan& Xu, Mingliang& Chen, Wenzhi& Wang, Zonghui& El Rhalibi, Abdennour. 2013. Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation. International Journal of Computer Games Technology،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-506800
Modern Language Association (MLA)
Lu, Xuequan…[et al.]. Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation. International Journal of Computer Games Technology No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-506800
American Medical Association (AMA)
Lu, Xuequan& Xu, Mingliang& Chen, Wenzhi& Wang, Zonghui& El Rhalibi, Abdennour. Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation. International Journal of Computer Games Technology. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-506800
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506800