Impact of VANET-based V2X communication using IEEE 802.11p on reducing vehicles traveling time in realistic large scale urban area

Abstract

Vehicle to Vehicle (V2V) or Car to Car and Vehicle to Infrastructure (I2V or V2I) communication are important components of the Intelligent Transportation Systems (ITS) architecture. One of the promising applications of ITS is calculating the estimated traveling time dynamically and showing drivers the fastest vehicular route to the destination, which has several benefits such as decreasing emissions, traffic congestion, fuel consumption, etc. This paper proposes a new method to find the fastest route from origin to destination by using the V2X (V2V or V2I) communication which provides real-time traffic information to drivers. This method, assigns a Current Traveling Time (CTT) for each street in a city which could help drivers to find the best route and also it could help real-time monitoring of the traffic of the streets. The contribution of this study is threefold: First, the mentioned novel methods are proposed. Second, impact of the method is investigated by using SUMO as a traffic simulator and also dynamic route planning with employing CTT for each street which are calculated with the proposed method. Third, mentioned scenario is simulated by using OMNET++ as a VANET (with IEEE 802.11p standard) with employing Veins framework. Veins framework is able to run OMNET++ and SUMO in parallel. Veins is developed in this paper by adding new modules to OMNET++ which aims to add numerous RoadSideUnits (RSUs) in the realistic traffic simulation. Moreover to control the traffic simulation, in this paper a new program written in Python capable to connect to SUMO has been developed. This program connects to SUMO and by considering every single vehicle movements simulate a microscopic traffic, also calculating the Current Traveling Time for streets and dynamic route planning for the cars. This program dynamically calculates the fastest route for the specific car.