MANET (or self-organizing) mobile networks operate without a predefined fixed (managed) infrastructure. (VANET) Vehicular ad-hoc networks belonging to family of ad-hoc using IEEE 802.11-based standard WLAN technology have recently received considerable attention in many vehicular projects and industry groups.
Vehicular Ad-Hoc Networks are a special kind of mobile Ad-Hoc networks where wireless-equipped (road) vehicles form a network with no additional infrastructure. While many communication scenarios exist for these networks, InVANET project focuses only on the application to improve vehicular safety by taking into account the physiological and ecological based context-aware / sensitive parameters as intelligence hence increasing driver convenience.
The aim of this research work is to focus on design of a middleware architectural model for providing safety in Vehicular ad-hoc networks (VANET). Even though a number of safety methods exist, incorporating intelligence is challenging part of this work. This research paper discusses on design and functionality of the model, with simulated results.
This research work was carried out by NRL team members at Vellore, Tamilnadu on Tiruvallam road with five high speed vehicles travelling at variable average of 30kmph to 60kmph. Specific safety procedures were tested as follows:
[a] "Object identification" functionality for an object lying 10 to 15 yards away on high way road
[b] "Speed monitor, control and negotiation" procedures pertaining to small vehicles and pedestrian safety
[c] "Blind sight identification and alert" functionality related to vehicle - "blind spot" identification and notification.
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