Traffic Congestion Detection Based On GPS Floating-Car Data
نویسندگان
چکیده
منابع مشابه
Online traffic state estimation based on floating car data
B esides the traditional data collection by stationary detectors, recent advances in wireless and sensor technologies have promoted new potentials for a vehiclebased data collection and local dissemination of information. By means of microscopic traffic simulations we study the problem of online estimation of the current traffic situation based on floating car data. Our focus is on the estimati...
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There is an increasing availability of floating car data both historic, in the form of trajectory datasets and real-time, in the form of continuous data streams. This paves the way for several advanced traffic management services such as current traffic state estimation, congestion and incident detection and prediction of the short-term evolution of traffic flow. In this paper, we present an an...
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Congestion is a growing and global problem, impacting the majority of people traveling and goods moving. Governments are challenged to keep the traffic flowing, to reduce pollution and decrease the economic damage caused by congestion. Highly accurate traffic information helps governments to reach their goals to become smart and sustainable. Due to the increasing volume of connected navigation ...
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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. It is able to calculate travel times from Floating Car Data (FCD) for a whole city, even for minor roads. A potential problem with FCD is the...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2011
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2011.08.1028