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
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;
Conference_Titel :
Computational Problem-solving (ICCP), 2013 International Conference on
Conference_Location :
Jiuzhai
DOI :
10.1109/ICCPS.2013.6893567