The Revelation of Traffic Congestion Drift and Induction Mechanism under Information Modification

摘要

It is shown in this paper that for the group of travelers, the individual's rational decision-making is not best, in some cases, still far away from the global peak. This conclusion has been proved by two common models -Greenshields and Underwood. Meanwhile, when the travelers know all the data of systems, congestion drift which can reduce the system throughput often occurs due to the conflict between individual rationality and global optimization. In this paper, we propose an induction mechanism which can greatly reduce the congestion drift by modifying some path information. The simulation experiments verify that the efficiency of the traffic system based on different network structure.%W artykule opisano schemat post?powania przy wyborze optymalnego rozwi?zania, w przypadku grupy podró?nych. Wst?pn? analiz? przypadku wykonano na bazie modelu Greenshield i Undrwood, co wykaza?o, ?e rozwi?zanie najlepsze indywidualnie, nie musi by? optymalne dla grupy. Zaproponowane rozwi?zanie redukuje pojawiaj?cy si? zator uliczny. Badania symulacyjne potwierdzaj? skuteczno?? metody.