Analysis of Speed Disturbances in Empirical Single Vehicle Probe Data before Traffic Breakdown

In single vehicle probe data measured on German freeways we have revealed phase transitions from free flow to synchronized flow and back to free flow that occur before traffic breakdown at a bottleneck occurs. Thus resulting in the formation of a congested pattern. Empirical findings of these phase transitions confirm a microscopic stochastic theory of traffic breakdown developed by Kerner. Only because of the recently introduced possibility of gathering larger amounts of anonymized vehicle data – including a sequence of positions of each car – we were able to show the phenomenon of these phase transitions in measured floating car data. This contribution reveals empirical findings in microscopic data which support and prove some of the recent theoretical findings of the nature of traffic breakdown.

[1]  B. Kerner.  Microscopic theory of traffic-flow instability governing traffic breakdown at highway bottlenecks: Growing wave of increase in speed in synchronized flow. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Robert Herman,et al.  Traffic Dynamics: Analysis of Stability in Car Following , 1959 .

[3]  B. Kerner,et al.  The physics of empirical nuclei for spontaneous traffic breakdown in free flow at highway bottlenecks , 2015 .

[4]  B. Kerner.  Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving , 2016, 1601.02585.

[5]  J. Treiterer.  INVESTIGATION OF TRAFFIC DYNAMICS BY AERIAL PHOTOGRAMMETRY TECHNIQUES , 1975 .

[6]  Sam Yagar,et al.  Exploration of the Breakdown Phenomenon in Freeway Traffic , 1998 .

[7]  Jorge A. Laval,et al.  A parsimonious model for the formation of oscillations in car-following models , 2014 .

[8]  Fred L. Hall,et al.  FREEWAY CAPACITY DROP AND THE DEFINITION OF CAPACITY , 1991 .

[9]  Soyoung Ahn,et al.  A behavioural car-following model that captures traffic oscillations , 2012 .

[10]  D. Gazis,et al.  Nonlinear Follow-the-Leader Models of Traffic Flow , 1961 .

[11]  Soyoung Ahn,et al.  Microscopic traffic hysteresis in traffic oscillations : a behavioral perspective , 2012 .

[12]  James H Banks.  FLOW PROCESSES AT A FREEWAY BOTTLENECK , 1990 .

[13]  Soyoung Ahn,et al.  Freeway traffic oscillations : microscopic analysis of formations and propagations using Wavelet Transform , 2011 .

[14]  R S Foote,et al.  TRAFFIC FLOW IN TUNNELS , 1958 .

[15]  Alexandra Kondyli,et al.  Enhancing Ramp Metering Algorithms with the Use of Probability of Breakdown Models , 2014 .

[16]  Hubert Rehborn,et al.  Traffic dynamics in empirical probe vehicle data studied with three-phase theory: Spatiotemporal reconstruction of traffic phases and generation of jam warning messages , 2013 .

[17]  Mao-Bin Hu,et al.  On some experimental features of car-following behavior and how to model them , 2015 .

[18]  Ziyou Gao,et al.  Empirical analysis and simulation of the concave growth pattern of traffic oscillations , 2016 .

[19]  Christopher Monterola,et al.  Efficient Intersection Control for Minimally Guided Vehicles: A Self-Organised and Decentralized Approach , 2016, 1708.04553.

[20]  Hubert Rehborn,et al.  Recognition and tracking of spatial–temporal congested traffic patterns on freeways , 2004 .

[21]  Lily Elefteriadou,et al.  Probabilistic nature of breakdown at freeway merge junctions , 1995 .