Abstract
SUMO (Simulation of Urban Mobility) has become one of the preferred open-source platforms for researchers to perform microscopic road traffic simulation. Thanks to the Traffic Control Interface (TraCI), SUMO offers a high level of flexibility, allowing a client to retrieve and modify the objects in the simulation. Two implementations of TraCI have been released to date for Python (TraCI-Python) and Java (TraCI4j). On the other hand, Matlab® is a software tool with a programming language with a broad user’s community of researchers. Matlab is used in many tasks on simulation, control, optimization and it is a preferred tool for rapid prototyping. Both platforms share strengths that benefit the development of control strategies for road traffic. The desire of combining both strengths motivated the interest to develop a TraCI implementation for Matlab. This chapter describes an adaptive software re-engineering process of TraCI-Python used to implement TraCI4Matlab (TraCI for Matlab).
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