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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 15

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems

Identifying Hidden Influences of Traffic Incidents’ effect in Smart Cities

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DOI: http://dx.doi.org/10.15439/2018F194

Citation: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, pages 651–658 ()

Full text

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 almost an insolvable problem. In this paper we would like to present a novel method able to determine the effects (the time delay of an event and the exact level of the correlation) between distinct road segments 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 signifi- cant insight to improve the operation of currently widespread prediction algorithms.

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