Implementation of TRACI and Induction loop in Vehicular Ad-hoc Network

Abstract

Vehicular Ad-Hoc Network (VANET) is surging in popularity, in which
vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying
and implementing such a system in real world, most research in VANET relies on simulations
for evaluation. A key component for VANET simulations is a realistic vehicular mobility
model that ensures that conclusions drawn from simulation experiments will carry through to
real deployments. In this work, we introduce a tool MOVE that allows users to rapidly generate
realistic mobility models for VANET simulations. MOVE is built on top of an open source
micro-traffic simulator SUMO. The output of MOVE is a realistic mobility model and can be
immediately used by popular network simulators such as ns-2 and qualnet.TraCI is the short
term for "Traffic Control Interface". Giving the access to a running road traffic simulation, it
allows to retrieve values of simulated objects and to manipulate their behavior "on-line"
Vehicular Ad-Hoc Networks (VANETs) enable communication among vehicles as well as
between vehicles and roadside infrastructures. Currently available software tools for VANET
research still lack the ability to assess the usability of vehicular applications. In this article, we
present Traffic Control Interface (TraCI) a technique for interlinking road traffic and network
simulators. It permits us to control the behavior of vehicles during simulation runtime, and
consequently to better understand the influence of VANET applications on traffic patterns. We
describe the basic concept, design decisions and the message format of this open-source
architecture. Additionally, we provide implementations for non-commercial traffic and
network simulators namely SUMO and ns2, respectively. This coupling enables for the first
time systematic evaluations of VANET applications in realistic settings.