Statistical Analysis of High-Flow Traffic States

Florian Knorr (), Thomas Zaksek (), Johannes Brügmann () and Michael Schreckenberg ()
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Florian Knorr: Universität Duisburg-Essen, Fakultät für Physik
Thomas Zaksek: Universität Duisburg-Essen, Fakultät für Physik
Johannes Brügmann: Universität Duisburg-Essen, Fakultät für Physik
Michael Schreckenberg: Universität Duisburg-Essen, Fakultät für Physik

A chapter in Traffic and Granular Flow '13, 2015, pp 557-562 from Springer

Abstract: Abstract We present an analysis on the characteristics of so-called high-flow states of traffic, i.e. traffic states where the flow rate exceeds 50 vehicles per minute and lane. We investigate the duration, frequency and other statistics of such states. Moreover, we study the conditions under which they occur. The factors that influence the existence and occurrence of high-flow states in traffic are, for instance, the fraction of slow vehicles, the motorways’ general topology (e.g. number of lanes, slope, interchanges, ramps and exits), the flow rate on neighboring lanes, the hour of the day and day of the week.

Keywords: High-flow States; Slow Vehicles; Higher Average Velocity; Leftmost Lane; Average Time Headway (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10629-8_62

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DOI: 10.1007/978-3-319-10629-8_62

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