Traffic forecasting has recently become a crucial task in the area of intelligent transportation
systems, and in particular in the development of traffic management and control. We focus …

… Short-term traffic forecasting aims to predict the number of vehicles on a link during a given
… adaptive traffic management systems, short-term traffic forecasting interests traffic engineers…

… time alternatives under assumedly known and stable traffic conditions has been conducted,[…
in a simulated traffic system. This paper presents the results of an experiment where a traffic …

… We introduce a general time-series forecasting method that … task of station level demand
forecasting on three bike sharing … motivating the need for a forecasting model that leverages the …

… In this section, we discuss different unified models for collective traffic prediction. We … [4]
EI Vlahogianni, MG Karlaftis, and JC Golias, “Short-term traffic forecasting: Where we are …

… been applied to the task of traffic forecasting. The two most-used … that have been applied to
traffic forecasting. For this reason, … An example of application to collective traffic forecasting is …

… Traffic flow forecasting: comparison of modeling approaches. Journal of transportation …
Comparison of parametric and nonparametric models for traffic flow forecasting. Transportation …

… Both, basic movement forecasting and trajectory forecasting, are part of what we refer to as
… a cooperative forecast of traffic situations. Altogether, the models are based on the collective …

… We combined traffic flow forecasting with flocking theory from biology. … At intersections
various collective patterns of motion can be formed, for instance, the flocking of the vehicles …

… user demand predictions (eg number of bikes expected to be rented during a time interval)
usually employs low temporal resolutions, as these rates suffice for capturing the collective …