TMS: Traffic Management System in VANETs

摘要

Vehicular Ad hoc Networks or VANET is a subclass of Mobile area networks (MANET) which is proving to have a very promising approach for the intelligent transportation system (ITS). VANET aims to make the driving experience safer, efficient and enjoyable, but faces a number of challenges. Traffic congestion being one of them is reflected by the prolonged delays while travelling. A number of techniques are used to tackle this problem. In this paper, an algorithm has been proposed to deal with the problem of traffic congestion using the characteristics of vehicular ad-hoc networks (VANET). The scope of this paper is to show the various common problems of traffic that are faced in a traffic management system. A GPS receiver has been used to ensure safety and accuracy. It monitors the speed of the vehicle and compares with a speed limit set in the hardware. The road congestion is detected by density calculation. Over speeding of Vehicle will be warned for some duration before the emergency warning message is broadcast to surrounding vehicles about the faulty vehicle. Vehicle-to-Infrastructure and Vehicle-to-Vehicle concept has been used in this model range (V2I, V2V). The micro-controller based traffic management and lane assistance system plays a crucial role in the reduction of congestion on roads and faulty driving measures that in turn reduces the number of accidents. The test bed is created on the techniques used in the proposed system where the analysis takes place in the On Board Embedded System designed for Vehicle Navigation. The designed system was tested on a 4-lane road at Neemrana in India. Successful simulations have been conducted along with real time network parameters to maximize the QoS (quality of service) and performance using SUMO and NS-2. We have taken detection of heavy vehicles as a domain to make the overall traffic management system more reliable and less human intervening.