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Publication Detail
Multi-Agent Simulation of Drivers Reactions to Unexpected Incidents on Urban Road Networks
The wide-scale impact of unexpected road closures is difficult to predict across entire urban road networks. Drivers seek new paths around the blockages, leading to the emergence of congested areas in unforeseen parts of the network. In order to predict and mitigate for these circumstances the full variation in driver behaviour must be incorporated into any simulation. This paper presents initial work on a multi-agent simulation whereby driver agents replan their route, in response to a road closure, based on their own personal knowledge of the network. A real-world scenario is presented that demonstrates resulting global responses to road closures.
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Dept of Civil, Environ &Geomatic Eng
Centre for Advanced Spatial Analysis
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