A Computational Market for Distributed Control of Urban Road Traffic Systems

Matteo Vasirani, Sascha Ossowski, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Volume 12 (2), 2011, []

In the last decade, economic approaches based on computational markets have been proposed as a paradigm for the design and the control of complex socio-technical systems, such as urban road traffic systems. The control problem of an urban road traffic system can be modelled as a distributed resource allocation problem, in order to apply market-based techniques as solution method. In this work, we design a competitive computational market, where driver agents trade the use of the capacity inside the intersections with intersection manager agents. We show how the market dynamics influence the drivers’ behaviour, leading to a more efficient use of the urban road traffic system, in terms of lower average travel times and less congestion.