Abstract
The road network of big cities is a complex and hardly analyzable system in which the accurate quantification of interactions between nonadjacent road segments is a serious challenge. In this paper we would like to present a novel method able to determine the effects (the time delay and the level of the correlation) of distinct road segments on each other of a smart city's road network. To reveal these relationships, we are investigating unexpected events such as traffic jams or accidents. This novel analysis can give a significant insight to improve the operation of currently widespread traffic prediction algorithms.
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CITATION STYLE
Nagy, A. M., & Simon, V. (2018). Identifying hidden influences of traffic incidents’ effect in smart cities. In Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018 (pp. 651–658). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.15439/2018F194
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