Situational Analysis in Real-Time Traffic Systems

Leihs, Dietrich; Adamski, A.

doi:10.1016/j.sbspro.2011.08.057

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Although most cities already have a sensor infrastructure fit for this purpose as part of their Intelligent Transportation Systems (ITSs), the data produced is used mostly for controlling traffic lights at junctions. Of course, the applications of ITS systems are much broader and mostly concern traffic flow optimisation, with advanced, state-of-the-art systems being able to analyse and simulate traffic at a very high detail level [19]. Usually, a city will already have several intersections at which traffic intensity is already measured.…”

Section: Motivationmentioning

confidence: 99%

Prediction of Traffic Intensity for Dynamic Street Lighting

Bielecka

Bielecki

Ernst

et al. 2017

Annals of Computer Science and Information Systems

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Abstract-In this paper, the problem of short-term prediction of traffic flow in a city traffic network is considered. This prediction is performed in order to provide input data to a dynamic control system for street lighting. The forecasting is done by a multi-layer using artificial neural network. Because of the limited number of sensors, the data is insufficient to describe the relation between the traffic intensity at a given point and the points in which the flow intensity is measured. The proposed approach is tested by using data from the centre of Kraków. The prediction error turned to be low.

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Section: Motivationmentioning

confidence: 99%