Multivariate time series forecasting for freeway networks
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Following about 40 years of successful deployment of coordinated traffic-responsive ramp control, a new generation is being developed for Minnesota's freeways based on density measurements, rather than flow rates. This was motivated from recent research in ...
Institute of Electrical and Electronics Engineers2011
The kinematic wave model is often used in simulation tools to describe dynamic traffic flow and to estimate and predict traffic states. Discretization of the model is generally based on Eulerian coordinates, which are fixed in space. However, the Lagrangian co ...
Real-time urban traffic control systems frequently require precise traffic measurements and fast communications in order to achieve desired performance levels. Such requirements may hinder the adoption of these beneficial control systems because of the ins ...
Fusing traffic data from a variety of traffic sensors into a coherent, consistent, and reliable picture of the prevailing traffic conditions (e.g. densities, speeds, flows) is a critical and challenging task in any off- or online traffic management or info ...
Of all modes of transport, transport by road is the most dangerous and the most costly in terms of human lives, according to Road Safety Action Program (2003-2010). In Europe, the 2010 road safety target of halving the number of road fatalities by 2010 see ...
We present the real-world test of the SPECIALIST algorithm in which dynamic speed limits were used to resolve shock waves on freeways. The real-world test was performed in the period September 2009–February 2010 on a 14 km long stretch on the Dutch A12 fre ...
For all road managers, inclement weather events are a source of uncertainty that can affect traffic operations and safety. Regarding safety, various studies reveal significant effects of adverse weather conditions on the frequency and severity of crashes. ...
This paper presents an approach to develop motorway Rear-End Crash Risk Identification Models (RECRIM) using disaggregate traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on Swiss right-hand driving ...
In this paper we address the problem of processing continuous multi-join queries, over distributed data streams. Our approach makes use of existing work in the field of publish/subscribe systems. We show how these principles can be ported to our envisioned ...
This paper presents a methodology to develop motorway traffic risk identification models using individual vehicle traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on motorway A1 in Switzerland. We de ...