METEOSAFETY: A Multiagent system to support the automated activation of Traffic Management Plans for adverse weather situations.

摘要

The dynamism of traffic flows implies the research and the development of newtechnologies within traffic management and control strategies to achieve the improvementof traffic flows and road safety. Artificial intelligence could support traffic entities androad operators to manage possible incidents on the road network, especially when theincidents are related to adverse weather conditions. In this case, the probability of roadaccidents is increased due to the difficulty of driving under bad weather conditions. Thus,when an incident occurs road operators must decide how to cope with it in order toimprove traffic safety.Within the METEOSAFETY project, a new MultiAgent System (MAS) has beendeveloped to support traffic management . MAS technology helps to deal with the specificcharacteristics of traffic domain. The proposed MAS can work in two different ways: a)coordinately, where all the agents work to solve weather problems in large networks and b)locally, where if there is a communication breakdown, a small group of agents worktogether to inform road users about weather problems.MAS is based on a rule-based system. This system can produce meteorologicalalarms with a high level of quality by applying specific coherence and correlation rules. Ittherefore improves the confidence of the road operator about the decisions taken by theexpert system. Furthermore it supports road operators proposing the best actions to takewhen any adverse weather situation happens, that might influence traffic flow.