Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
98 tokens/sec
GPT-4o
8 tokens/sec
Gemini 2.5 Pro Pro
47 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Analysis of urban traffic data sets for VANETs simulations (1304.4350v1)

Published 16 Apr 2013 in cs.NI

Abstract: Vehicular Ad-hoc Networks (VANET) are self-organized, distributed communication networks built up from moving vehicles where each node is characterized by variable speed, strict limits of freedom in movement patterns and a variety of traffic dynamics. In the last few years vehicular traffic is attracting a growing attention from both industry and research, due to the importance of the related applications, ranging from traffic control to road safety. However, less attention has been paid to the modeling of realistic user mobility through real empirical data that would allow to develop much more effective communication and networking schemes. The aim of this study is then twofold: on one hand we derived real mobility patters to be used in a VANET simulator and on the other hand we simulated the VANET data dissemination achieved with different broadcast protocols in our real traffic setting.

Citations (2)

Summary

We haven't generated a summary for this paper yet.