Computational justice for traffic City traffic causes many related problems. An EU team's solution involves systems allowing vehicles to communicate with each other and with a central network, permitting high-level traffic control and improved efficiency. Industrial Technologies © Thinkstock Pollution and mental frustration — just two of the problems caused by city traffic — lead to other social or environmental problems. Part of the solution may be systems allowing vehicles to communicate and coordinate with others. The EU-funded project 'Intelligent transportation systems for safer and improved traffic' (ITS4SIT) aimed to develop such intelligent systems. The plan was to allow coordination between vehicles in response to local interactions, and between vehicles and infrastructure for system-wide management. The undertaking ran for two years to the end of August 2013. Project work focused on developing three levels of self-adaptive and self-organising systems. The micro-level controls single vehicles and their environmental interactions, while the meso-level handles coordination among a group of vehicles. The macro-level manages overall system goals. Using a resource allocation perspective, ITS4SITdeveloped a framework applicable to transportation and to more general resource contexts. The results led to a new field of computational justice, which interfaces between computer science and social studies. Although not an original goal, the work is considered among the project's main achievements. The promising new field is broadly applicable to many other areas, including evidence-based policymaking and dispute resolution. Keywords Computational justice, traffic, vehicle, central network, traffic control, intelligent transportation, self-organising, social studies
