Three methods for estimating a range of vehicular interactions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00316582" target="_blank" >RIV/68407700:21340/18:00316582 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26110/17:PU121890
Result on the web
<a href="http://dx.doi.org/10.1016/j.physa.2017.09.008" target="_blank" >http://dx.doi.org/10.1016/j.physa.2017.09.008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.physa.2017.09.008" target="_blank" >10.1016/j.physa.2017.09.008</a>

Result language
angličtina
Original language name
Three methods for estimating a range of vehicular interactions
Original language description
We present three different approaches how to estimate the number of preceding cars influencing a decision-making procedure of a given driver moving in saturated traffic flows. The first method is based on correlation analysis, the second one evaluates (quantitatively) deviations from the main assumption in the convolution theorem for probability, and the third one operates with advanced instruments of the theory of counting processes (statistical rigidity). We demonstrate that universally-accepted premise on short-ranged traffic interactions may not be correct. All methods introduced have revealed that minimum number of actively-followed vehicles is two. It supports an actual idea that vehicular interactions are, in fact, middle-ranged. Furthermore, consistency between the estimations used is surprisingly credible. In all cases we have found that the interaction range (the number of actively-followed vehicles) drops with traffic density. Whereas drivers moving in congested regimes with lower density (around 30 vehicles per kilometer) react on four or five neighbors, drivers moving in high-density flows respond to two predecessors only.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics

Project
<a href="/en/project/GA15-15049S" target="_blank" >GA15-15049S: Detection of stochastic universalities in non-equilibrium states of socio-physical systems by means of Random Matrix Theory</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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