A Cellular Automaton Model for Car Traffic with a Slow-to-Stop Rule
CIAA '09 Proceedings of the 14th International Conference on Implementation and Application of Automata
Learning dynamic adaptation strategies in agent-based traffic simulation experiments
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
From GIS to mixed traffic simulation in urban scenarios
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
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Many studies in the context of traffic simulation investigate effects of new regulation strategies on travel times. However, in most cases it is assumed, that these regulations are followed by all actors. This work investigates the effects of non-compliance of simulated road user agents. In particular it is analyzed to what extent rule breaking agents have advantages on the cost of the remaining road users. For evaluation we take into account three different scenarios: Overtaking prohibition for trucks on motorways, bicycles pushing to the front at traffic lights and pedestrians crossing roads in aggressive manner. In all scenarios, the fraction of rule breaking agents is varied. Simulation results show that rule breaking does not always lead to disadvantages for the remaining road users.