Experienced travel time prediction for congested freeways
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Floating car data (FCD) meanwhile is a widely available and affordable data source. The given GPS data – delivered in frequencies of some seconds or sometimes only a few minutes – are typically matched to some digital road network and mainly the traffic va ...
This paper presents the concept of a methodology for identifying in real time risky motorway traffic conditions. This research effort is to automate the extraction of traffic patterns from large data archives using advanced computing techniques. These patt ...
Recently, the author proposed a new approach how to take advantage of common floating car data in context of urban traffic monitoring (cf. Neumann, 2009: Efficient queue length detection at traffic signals using probe vehicle data and data fusion, 16th ITS ...
Ensuing from the deteriorating conditions of road networks, traffic forecasting techniques with mathematical and computer-theory methods have been employed to address the real-time prediction of traffic conditions and their dynamic control, with the optimu ...
Pricing is considered an effective management policy to reduce traffic congestion in transportation networks. In this paper we combine a macroscopic model of traffic congestion in urban networks with an agent-based simulator to study congestion pricing sch ...
It is a well-known fact that nowadays reliable traffic data are an indispensable prerequisite for efficient traffic control and planning. Nevertheless, traffic monitoring in urban areas is still difficult and expensive due to complex traffic dynamics and r ...
Traffic is believed to organize itself by minimizing user’s travel cost (travel time is used as cost very often). Almost all the analytical and numerical work in the last 50 years has concentrated on travel cost and the assumption that costs are always an ...
In this paper we propose a hybrid motorway travel time prediction framework aimed at providing pre-trip travel information in case of roadworks. The framework utilises a first order macroscopic traffic flow model to predict the consequences in travel time ...
We present a linear programming based method to design time varying routing strategies for positive conservative compartmental systems to satisfy piecewise constant capacity constraints. Such systems can be used to describe the flow of material through a n ...
Travel time is considered as one of the most important performance measures for roadway systems, and dissemination of travel time information can help travelers to make reliable travel decisions such as route choice or time departure. Since the traffic dat ...
