DocumentCode
3161680
Title
A novel mobility model for urban VANETs inspired by biological collective intelligence
Author
Longjiang Li ; Li Li ; Qi Xia
Author_Institution
Key Lab. of Opt. Fiber Sensing & Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2013
fDate
26-28 Oct. 2013
Firstpage
87
Lastpage
89
Abstract
Based on the similarity between the intelligent transportation and the biological collective behaviors, this paper proposes Vanet Mobility Model(VMM), a novel mobility model for urban vehicles, which is based on the evolution rules of collective vehicles. Simulation demonstrates that it is prone to cause a traffic congestion if envolution rules of vehicles are not satisfied, e.g., acceleration changes too fast, no matter increasing or decreasing. Besides, the proposed mobility model also offers more new opportunities for designing new simulators for VANETs that can potentially help the research of ITS, aiming to guide the traffic, reduce congestion and improve transportation efficiency.
Keywords
mobility management (mobile radio); telecommunication traffic; transportation; vehicular ad hoc networks; ITS; VMM; biological collective behaviors; biological collective intelligence; intelligent transportation; traffic congestion; urban VANET; urban vehicles; vanet mobility model; Acceleration; Biological system modeling; Educational institutions; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Problem-solving (ICCP), 2013 International Conference on
Conference_Location
Jiuzhai
Type
conf
DOI
10.1109/ICCPS.2013.6893567
Filename
6893567
Link To Document