After that, Section 5 compares the traces obtained with the different tools from the network connectivity perspective by using graph properties. Next, Section 4 details the generation process of the simulation scenarios in SUMO from the debugging of the map to the generation of the vehicular routes with the SUMO traffic generators. The rest of this paper is organized as follows: Section 2 describes the main features of the SUMO simulation package and its tools to configure road networks, run simulations, and each of the generators of vehicular traffic demand including a qualitative comparison among them. Also, a performance comparison in terms of trip times for the five available tools in real road typologies is provided. This paper aims to describe the most relevant characteristics of these tools and their differences. SUMO includes some tools to generate vehicle routes based on set traffic demand, which use different operating algorithms. The traffic demand description includes types of vehicles, the quantity of each type, and their routes. To perform a simulation in SUMO a road network and traffic demand to simulate must be provided. SUMO is an open-source vehicles’ mobility simulation package, which includes components to the road network and vehicular demand modeling in an area of interest.
So, many software tools, commercial and free distributed, have been developed for traffic simulation such as VISSIM, AVENUE, Paramics, Aimsun, MITSIMLab, SUMO, DRACULA, Dynameq, DybaNIT, and METANET among others.Ī widely used vehicular simulator for testing ITS’s services is Simulation of Urban Mobility (SUMO). In both cases but especially in the ITS area, the emphasis has been placed on the analysis of vehicular traffic.
Ĭurrently, both the scientific community and the industry are researching the area of VANETs and Intelligent Transportation Systems (ITS). Vehicular simulators can also work with network simulators to evaluate ITS applications such us warning messages dissemination and reporting services. In the case of transportation, vehicular simulators can work in an isolated way to evaluate existing problems or effects changes in the road infrastructure. Most of the proposals in this area are validated through simulations because simulators allow recreating the behavior of any phenomenon at any, usually large, scale. One of the objectives of Traffic Engineering and Intelligent Transportation Systems, in particular, is to provide solutions to the problem of vehicular congestion through the application of Information and Communication Technologies. The statistics of the International Organization of Motor Vehicle Manufacturers (OICA) shows that during 2017 the world vehicle fleet increased by 2.4% while the development of road infrastructure has been insufficient for the constant increase in vehicle flow provoking greater vehicular congestion, higher fuel consumption and CO 2 emissions.