Experienced travel time prediction for congested freeways
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Cities with medium to high traffic volumes are expected to keep the traffic rolling in a most efficient way. Accidents, construction sites or large events are counteracting this effort. In addition, cities are facing the fact that traffic signal plans conf ...
Dempster-Shafer data fusion can enhance travel time estimation for motorists and traffic managers. In this paper, travel time data from inductive loop road sensors and toll collection stations are merged through Dempster-Shafer inference to generate an imp ...
There is a number of highway transportation infrastructures where traffic flow arriving on a higher number of lanes must merge into a lower number of lanes within a limited space, e.g., merging highways, merging on-ramps, toll plazas, work zones. When the ...
Precise short-term prediction of traffic parameters such as flow and travel-time is a necessary component for many ITS applications. This work describes the research on a novel, fast, and robust algorithm which is based on a partitioning cluster analysis. ...
This thesis focuses on the route choice behavior of car drivers (uni-modal networks). More precisely, we are interested in identifying which route a given traveler would take to go from one location to another. For the analysis of this problem we use discr ...
The aim of this thesis is to develop a new methodology to determine dynamic Origin-Destination (OD) matrices for urban networks characterized by a high number of traffic hubs, complex route choice possibilities and a high level of traffic controls. By revi ...
The paper presents a methodological framework that integrates different data-driven techniques in order to detect the different traffic flow regimes (free flow, congested conditions, and so on) observed in signalized arterials as well as the manner traffic ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) for dense urban networks. From reviewing existing methods, from static to dynamic OD matrix evaluation, possible deficiencies in the approa ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) in dense urban networks. From reviewing actual methods, for static and dynamic OD matrix evaluation, possible deficiencies in the approach ...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destination, OD matrices) for dense urban networks using traffic simulation data. From reviewing existing methods, from static to dynamic OD matrix evaluation, possi ...
