An Urban Traffic Management System based on Vehicle Cooperation



Vehicular ad hoc networks, traffic management systems, Traffic Jams, intelligent transportation systems


The next generation of smart cities will rely on Intelligent Transport Systems (ITSs) due to the increased complexity and dynamism of traffic caused by continuous urbanization and population growth. The traditional techniques to deal with these challenges are expensive and have a great impact on people's lives and, in this scenario, the introduction of computational and technological solutions is necessary. In order to minimize the problems caused by congestion in urban centers, we present Let Me Know!, a traffic management system inspired by the communication among vehicles that allows the request and availability of information related to vehicular traffic. The vehicles request information in order to update a distributed database containing momentary analyzes of road traffic. Through extensive performance analysis, we show our system's ability to reduce traffic congestion with a low impact on the network.


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Author Biographies

Thiago S. Gomides, Universidade Federal de São João del Rei, Brasil

Thiago S. Gomides was a Visiting Researcher in the Department of Computer Science at Brock University, Canada. He received his Master in Computer Science degree (2020) and Bachelor in Computer Science degree (2017) from the Federal University of São João Del Rei, Brazil. His research topics include urban mobility, vehicular networks, smart cities solutions, distributed system, and data communication. He has served as a visiting researcher through the Emerging Leaders in the Americas Program - ELAP (2019-2020) in the Department of Computer Science at Brock University, Canada.

Robson E. De Grande, Department of Computer Science, Brock University, Canada

Robson E. De Grande is an Associate Professor in the Department of Computer Science at Brock University, Canada. He received his Ph.D. degree in Computer Science from the University of Ottawa, Canada, in 2012. His research interests include large-scale distributed and mobile systems, cloud computing, performance modelling and simulation, computer networks, vehicular networks, intelligent transportation systems, and distributed simulation systems, actively contributing in these areas. He has served as technical program and special session co-chair of several IEEE and ACM sponsored conferences, including IEEE/ACM DS-RT, ACM MobiWac, ACM DIVANet, and IEEE DCOSS International Workshop on Urban Computing.

Rickson S. Pereira, São Paulo State University

Rickson Simioni Pereira is a Technologist in Systems Analysis and Development at the Federal Institute of Education, Science and Technology of São Paulo (IFSP) in 2018. He is currently a regular Master in Computer Science student at the Post-Graduate Program at the Universidade Estadual Paulista, Júlio de Mesquita Filho (UNESP), with an emphasis on the areas of intelligent transport and resource management in vehicular networks.

Rodolfo I. Meneguette, Institute of Mathematics and Computer Science, University of São Paulo, Brazil

Rodolfo Ipolito Meneguette Bachelor of Computer Science from Universidade Paulista (UNIP) in 2006. Master of Computer Science from Federal University of São Carlos (UFSCar) in 2009. Doctor of Computer Science from Universidade Estadual de Campinas (UNICAMP) in 2013. Post-doctoral student from the University of Ottawa (UOttawa) in 2017. He is currently a professor at the Institute of Mathematical and Computer Sciences (ICMC) at the University of São Paulo (USP). Leader of the Internet of Things research group with a focus on urban computing. His line of research is in intelligent transport systems, vehicular networks, clouds, mobility management.

Fernanda S.H. de Souza, Department of Computer Science, Federal University of Ouro Preto, Brazil

Fernanda S. H. Souza holds a PhD in Computer Science from the Federal University of Minas Gerais, Brazil, in 2013. She is currently an Associate Professor in Computer Science at the Federal University of Ouro Preto. His research interests include metaheuristics, combinatorial optimization, traffic management, and communication networks.

Daniel L. Guidoni, Department of Computer Science, Federal University of Ouro Preto, Brazil

Daniel L. Guidoni received his Ph.D. degree in computer science from the Federal University of Minas Gerais, Belo Horizonte, Brazil, in 2011. He was awarded the best dectoral thesis in Brazil considering the computer science theses. He is currently an Associate Professor with the Federal University of Ouro Preto, Minas Gerais, Brazil. His research interests include wireless networks, vehicular networks, IoT, Smart Cities, and communication protocols.


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How to Cite

S. Gomides, T., E. De Grande, R., S. Pereira, R. ., I. Meneguette, R., S.H. de Souza, F., & L. Guidoni, D. (2023). An Urban Traffic Management System based on Vehicle Cooperation. IEEE Latin America Transactions, 21(3), 441–449. Retrieved from