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Wantanee Viriyasitavat
Researcher at Mahidol University
Publications - 45
Citations - 2083
Wantanee Viriyasitavat is an academic researcher from Mahidol University. The author has contributed to research in topics: Vehicular ad hoc network & Wireless ad hoc network. The author has an hindex of 22, co-authored 45 publications receiving 1940 citations. Previous affiliations of Wantanee Viriyasitavat include Carnegie Mellon University & Norwegian University of Science and Technology.
Papers
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Proceedings ArticleDOI
Self-organized traffic control
TL;DR: A virtual traffic light protocol that can dynamically optimize the flow of traffic in road intersections without requiring any roadside infrastructure is designed that renders signalized control of intersections truly ubiquitous.
Journal ArticleDOI
Vehicular Communications: Survey and Challenges of Channel and Propagation Models
TL;DR: This article classifies and describes the most relevant vehicular propagation and channel models, with a particular focus on the usability of the models for the evaluation of protocols and applications.
Journal ArticleDOI
Vehicular Communications: Survey and Challenges of Channel and Propagation Models
TL;DR: In this paper, the authors classify and describe the most relevant vehicular propagation and channel models, with a particular focus on the usability of the models for the evaluation of protocols and applications.
Patent
Methods and systems for coordinating vehicular traffic using in-vehicle virtual traffic control signals enabled by vehicle-to-vehicle communications
Michel Ferreira,Ozan K. Tonguz,Ricardo J. Fernandes,Hugo Marcelo Fernandes DaConceicao,Wantanee Viriyasitavat +4 more
TL;DR: In this paper, a dynamic traffic control plan is developed to coordinate traffic proximate to a potential conflict zone, such as a roadway intersection, where travel conflicts such as crossing traffic can arise.
Journal ArticleDOI
Modeling urban traffic: A cellular automata approach
TL;DR: The results show that different control mechanisms used at intersections such as cycle duration, green split, and coordination of traffic lights have a significant effect on intervehicle spacing distribution and traffic dynamics.