Boris Kerner

Kerner is an engineer and physicist. He was born in Moscow, Soviet Union in 1947 and graduated from the Moscow Technical University MIREA in 1972. Boris Kerner was received Ph.D. and Sc.D. (Doctor of Sciences) degrees in the Academy of Sciences of the Soviet Union, respectively, in 1979 and 1986. Between 1972 and 1992, his major interests include the physics of semiconductors, plasma and solid state physics. During this time, Boris Kerner together with V.V. Osipov developed a theory of Autosolitons – solitary intrinsic states, which form in a broad class of physical, chemical and biological dissipative systems.{{Cite book |url=https://www.springer.com/physics/complexity/book/978-0-7923-2816-2 |title=Autosolitons: A New Approach to Problems of Self-Organization and Turbulence (Fundamental Theories of Physics) |date=1994 |doi=10.1007/978-94-017-0825-8 |last1=Kerner |first1=B. S. |last2=Osipov |first2=V. V. |isbn=978-90-481-4394-8 }}

After emigration from Russia to Germany in 1992, Boris Kerner worked for the Daimler company in Stuttgart. His major interest since then was the understanding of vehicular traffic.{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.48.R2335 | doi=10.1103/PhysRevE.48.R2335 | title=Cluster effect in initially homogeneous traffic flow | date=1993 | last1=Kerner | first1=B. S. | last2=Konhäuser | first2=P. | journal=Physical Review E | volume=48 | issue=4 | pages=R2335–R2338 | pmid=9960969 | bibcode=1993PhRvE..48.2335K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.50.54 | doi=10.1103/PhysRevE.50.54 | title=Structure and parameters of clusters in traffic flow | date=1994 | last1=Kerner | first1=B. S. | last2=Konhäuser | first2=P. | journal=Physical Review E | volume=50 | issue=1 | pages=54–83 | pmid=9961944 | bibcode=1994PhRvE..50...54K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.51.6243 | doi=10.1103/PhysRevE.51.6243 | title=Deterministic spontaneous appearance of traffic jams in slightly inhomogeneous traffic flow | date=1995 | last1=Kerner | first1=B. S. | last2=Konhäuser | first2=P. | last3=Schilke | first3=M. | journal=Physical Review E | volume=51 | issue=6 | pages=6243–6246 | pmid=9963365 | bibcode=1995PhRvE..51.6243K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.53.R1297 | doi=10.1103/PhysRevE.53.R1297 | title=Experimental features and characteristics of traffic jams | date=1996 | last1=Kerner | first1=B. S. | last2=Rehborn | first2=H. | journal=Physical Review E | volume=53 | issue=2 | pages=R1297–R1300 | pmid=9964470 | bibcode=1996PhRvE..53.1297K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.53.R4275 | doi=10.1103/PhysRevE.53.R4275 | title=Experimental properties of complexity in traffic flow | date=1996 | last1=Kerner | first1=B. S. | last2=Rehborn | first2=H. | journal=Physical Review E | volume=53 | issue=5 | pages=R4275–R4278 | pmid=9964902 | bibcode=1996PhRvE..53.4275K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.79.4030 | doi=10.1103/PhysRevLett.79.4030 | title=Experimental Properties of Phase Transitions in Traffic Flow | date=1997 | last1=Kerner | first1=B. S. | last2=Rehborn | first2=H. | journal=Physical Review Letters | volume=79 | issue=20 | pages=4030–4033 | bibcode=1997PhRvL..79.4030K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.56.4200 | doi=10.1103/PhysRevE.56.4200 | title=Asymptotic theory of traffic jams | date=1997 | last1=Kerner | first1=B. S. | last2=Klenov | first2=S. L. | last3=Konhäuser | first3=P. | journal=Physical Review E | volume=56 | issue=4 | pages=4200–4216 | bibcode=1997PhRvE..56.4200K | url-access=subscription }} Boris Kerner was awarded with Daimler Research Award 1994.[https://www.daimler.com/dokumente/investoren/berichte/geschaeftsberichte/daimler-benz/daimler-ir-geschaeftsbericht-1994.pdf#page=99&zoom=auto,-82,419 "Daimler-Benz, das Geschäftsjahr 1994", page 41] The empirical nucleation nature of traffic breakdown at highway bottlenecks understood by Boris Kerner is the basis for Kerner's three phase traffic theory, which he introduced and developed in 1996–2002.{{cite book | url=https://link.springer.com/book/10.1007/978-3-540-40986-1 | doi=10.1007/978-3-540-40986-1 | title=The Physics of Traffic | series=Understanding Complex Systems | date=2004 | isbn=978-3-642-05850-9 | last1=Kerner | first1=Boris S. }}{{cite book | url=https://link.springer.com/book/10.1007/978-3-642-02605-8 | doi=10.1007/978-3-642-02605-8 | title=Introduction to Modern Traffic Flow Theory and Control | date=2009 | last1=Kerner | first1=Boris S. | isbn=978-3-642-02604-1 }}{{cite book | url=https://link.springer.com/book/10.1007/978-3-662-54473-0 | doi=10.1007/978-3-662-54473-0 | title=Breakdown in Traffic Networks | date=2017 | last1=Kerner | first1=Boris S. | isbn=978-3-662-54471-6 }}{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S037843711600073X | doi=10.1016/j.physa.2016.01.034 | title=Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving | date=2016 | last1=Kerner | first1=Boris S. | journal=Physica A: Statistical Mechanics and Its Applications | volume=450 | pages=700–747 | arxiv=1601.02585 | bibcode=2016PhyA..450..700K }}{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0378437116306501 | doi=10.1016/j.physa.2016.09.034 | title=Breakdown minimization principle versus Wardrop's equilibria for dynamic traffic assignment and control in traffic and transportation networks: A critical mini-review | journal=Physica A: Statistical Mechanics and Its Applications | date=15 January 2017 | volume=466 | pages=626–662 | last1=Kerner | first1=Boris S. | bibcode=2017PhyA..466..626K | url-access=subscription }}{{cite journal | url=https://www.sciencedirect.com/science/article/abs/pii/S0378437113004986 | doi=10.1016/j.physa.2013.06.004 | title=Criticism of generally accepted fundamentals and methodologies of traffic and transportation theory: A brief review | journal=Physica A: Statistical Mechanics and Its Applications | date=November 2013 | volume=392 | issue=21 | pages=5261–5282 | last1=Kerner | first1=Boris S. | bibcode=2013PhyA..392.5261K | url-access=subscription }}{{Cite journal |url=https://www.researchgate.net/publication/282463507 |doi=10.1007/s00502-015-0340-3 |title=Failure of classical traffic flow theories: A critical review |date=2015 |last1=Kerner |first1=Boris S. |journal=E & I Elektrotechnik und Informationstechnik |volume=132 |issue=7 |pages=417–433 }}{{cite book | url=https://link.springer.com/referencework/10.1007/978-1-4939-8763-4 | doi=10.1007/978-1-4939-8763-4 | title=Complex Dynamics of Traffic Management | date=2019 | publisher=Springer | isbn=978-1-4939-8762-7 | editor-last1=Kerner | editor-first1=Boris S. }}

Between 2000 and 2013 Boris Kerner was a head of a scientific research field Traffic at the Daimler company. In 2011 Boris Kerner was awarded with the degree Professor at the University of Duisburg-Essen in Germany.[https://www.uni-due.de/de/presse/meldung.php?id=2641 Pressemitteilung der Universität Duisburg-Essen: UDE verleiht Verkehrsforscher außerplanmäßige Professur. Von Daimler zum Campus] After his retirement from the Daimler company on 31 January 2013 Prof. Kerner works at the University Duisburg-Essen.[https://www.uni-due.de/ptt/arbeitsgruppe/mitglieder.php Fakultät der Physik der Universität Duisburg-Essen, Physik von Transport und Verkehr: Mitglieder der Arbeitsgruppe]

In Kerner's three phase traffic theory, in addition to the free flow traffic phase (F), there are two traffic phases in congested traffic: the synchronized flow traffic phase (S) and the wide moving jam phase (J). One of the main results of Kerner's theory is that traffic breakdown at a highway bottleneck is a random (probabilistic) phase transition from free flow to synchronized flow (F → S transition) that occurs in a metastable state of free flow at a highway bottleneck. This means that traffic breakdown (F → S transition) exhibits the nucleation nature.{{cite journal | url=https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.81.3797 | doi=10.1103/PhysRevLett.81.3797 | title=Experimental Features of Self-Organization in Traffic Flow | date=1998 | last1=Kerner | first1=B. S. | journal=Physical Review Letters | volume=81 | issue=17 | pages=3797–3800 | bibcode=1998PhRvL..81.3797K | url-access=subscription }}{{cite journal | url=https://journals.sagepub.com/doi/abs/10.3141/1678-20 | doi=10.3141/1678-20 | title=Congested Traffic Flow: Observations and Theory | date=1999 | last1=Kerner | first1=Boris S. | journal=Transportation Research Record: Journal of the Transportation Research Board | volume=1678 | pages=160–167 | url-access=subscription }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/2058-7058/12/8/30 | doi=10.1088/2058-7058/12/8/30 | title=The physics of traffic | date=1999 | last1=Kerner | first1=Boris S. | journal=Physics World | volume=12 | issue=8 | pages=25–30 | url-access=subscription }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/0305-4470/33/26/101/fulltext/ | doi=10.1088/0305-4470/33/26/101 | title=Experimental features of the emergence of moving jams in free traffic flow | date=2000 | last1=Kerner | first1=Boris S. | journal=Journal of Physics A: Mathematical and General | volume=33 | issue=26 | pages=L221–L228 | url-access=subscription }}{{cite journal | url=https://journals.sagepub.com/doi/pdf/10.3141/1710-16 | doi=10.3141/1710-16 | title=Theory of Breakdown Phenomenon at Highway Bottlenecks | date=2000 | last1=Kerner | first1=Boris S. | journal=Transportation Research Record: Journal of the Transportation Research Board | volume=1710 | pages=136–144 | url-access=subscription }}{{cite journal | url=https://link.springer.com/article/10.1023/A:1011577010852 | doi=10.1023/A:1011577010852 | date=2001 | last1=Kerner | first1=Boris S. | title=Complexity of Synchronized Flow and Related Problems for Basic Assumptions of Traffic Flow Theories | journal=Networks and Spatial Economics | volume=1 | issue=1 | pages=35–76 | url-access=subscription }}{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0895717702800176 | doi=10.1016/S0895-7177(02)80017-6 | title=Synchronized flow as a new traffic phase and related problems for traffic flow modelling | journal=Mathematical and Computer Modelling | date=March 2002 | volume=35 | issue=5 | pages=481–508 | last1=Kerner | first1=B. S. | url-access=subscription }}{{cite journal | url=https://journals.sagepub.com/doi/abs/10.3141/1802-17 | doi=10.3141/1802-17 | title=Empirical Features of Congested Patterns at Highway Bottlenecks | date=2002 | last1=Kerner | first1=Boris S. | journal=Transportation Research Record: Journal of the Transportation Research Board | volume=1802 | pages=145–154 | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.65.046138 | doi=10.1103/PhysRevE.65.046138 | title=Empirical macroscopic features of spatial-temporal traffic patterns at highway bottlenecks | date=2002 | last1=Kerner | first1=Boris S. | journal=Physical Review E | volume=65 | issue=4 | page=046138 | pmid=12005957 | bibcode=2002PhRvE..65d6138K | url-access=subscription }}{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0378437103009221 | doi=10.1016/j.physa.2003.10.017 | title=Three-phase traffic theory and highway capacity | journal=Physica A: Statistical Mechanics and Its Applications | date=15 February 2004 | volume=333 | pages=379–440 | last1=Kerner | first1=Boris S. | arxiv=cond-mat/0211684 | bibcode=2004PhyA..333..379K }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/1751-8113/41/21/215101/pdf | doi=10.1088/1751-8113/41/21/215101 | title=A theory of traffic congestion at heavy bottlenecks | date=2008 | last1=Kerner | first1=Boris S. | journal=Journal of Physics A: Mathematical and Theoretical | volume=41 | issue=21 | bibcode=2008JPhA...41u5101K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.85.036110 | doi=10.1103/PhysRevE.85.036110 | title=Complexity of spatiotemporal traffic phenomena in flow of identical drivers: Explanation based on fundamental hypothesis of three-phase theory | date=2012 | last1=Kerner | first1=Boris S. | journal=Physical Review E | volume=85 | issue=3 | page=036110 | pmid=22587152 | bibcode=2012PhRvE..85c6110K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.100.012303 | doi=10.1103/PhysRevE.100.012303 | title=Statistical physics of synchronized traffic flow: Spatiotemporal competition between 𝑆→𝐹 and 𝑆→𝐽 instabilities | date=2019 | last1=Kerner | first1=Boris S. | journal=Physical Review E | volume=100 | issue=1 | page=012303 | pmid=31499898 | arxiv=1903.10218 }} The main reason for the Kerner's three-phase theory is the explanation of the empirical nucleation nature of traffic breakdown (F → S transition) at highway bottlenecks observed in real field traffic data.

The prediction of the Kerner's three-phase theory is that this metastability of free flow with respect to the F → S phase transition is governed by the nucleation nature of an instability of synchronized flow with respect to the growth of a large enough local increase in speed in synchronized flow (called a S → F instability). The S → F instability is a growing speed wave of a local increase in speed in synchronized flow at the bottleneck. The development of Kerner's S → F instability leads to a local phase transition from synchronized flow to free flow at the bottleneck (S → F transition).

In 2011–2014, Boris Kerner has expanded three phase traffic theory, which he developed initially for highway traffic, for the description of city traffic.

At the end of 1990's Kerner introduced a new traffic phase, called synchronized flow whose basic feature leads to the nucleation nature of the F → S transition at a highway bottleneck.{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0378437115005245 | doi=10.1016/j.physa.2015.05.102 | title=The physics of empirical nuclei for spontaneous traffic breakdown in free flow at highway bottlenecks | journal=Physica A: Statistical Mechanics and Its Applications | date=15 November 2015 | volume=438 | pages=365–397 | last1=Kerner | first1=Boris S. | last2=Koller | first2=Micha | last3=Klenov | first3=Sergey L. | last4=Rehborn | first4=Hubert | last5=Leibel | first5=Michael | bibcode=2015PhyA..438..365K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.032810 | doi=10.1103/PhysRevE.90.032810 | title=Empirical synchronized flow in oversaturated city traffic | date=2014 | last1=Kerner | first1=Boris S. | last2=Hemmerle | first2=Peter | last3=Koller | first3=Micha | last4=Hermanns | first4=Gerhard | last5=Klenov | first5=Sergey L. | last6=Rehborn | first6=Hubert | last7=Schreckenberg | first7=Michael | journal=Physical Review E | volume=90 | issue=3 | page=032810 | pmid=25314485 | bibcode=2014PhRvE..90c2810K | url-access=subscription }} Therefore, Kerner's synchronized flow traffic phase can be used synonymously with the term three-phase traffic theory.

In 1998 Kerner found that the well-known empirical phenomenon moving jam "without obvious reason" occurs due to a sequence of F → S → J transitions. This study was conducted using empirical traffic data. The explanation for the sequence of F → S → J transitions is as follows: in the three-phase traffic theory it is assumed that the probability of a F → S transition in metastable free flow is considerably larger than the probability of a F → J transition.

In Kerner's three-phase traffic theory any phase transition between the three traffic phases exhibits the nucleation nature, as in accordance to the results of empirical observations.

In 2011 Kerner introduced the breakdown minimization principle that is devoted to control and optimization of traffic and transportation networks while keeping the minimum of the probability of the occurrence of traffic congestion in a network.{{Cite journal|doi=10.1088/1751-8113/44/9/092001|title=Optimum principle for a vehicular traffic network: Minimum probability of congestion|journal=Journal of Physics A: Mathematical and Theoretical|volume=44|issue=9|pages=092001|year=2011|last1=Kerner|first1=Boris S|arxiv=1010.5747|bibcode=2011JPhA...44i2001K|s2cid=118395854 }} Rather than an explicit minimization of travel time that is the objective of System Optimum and User Equilibrium, the BM principle minimizes the probability of the occurrence of congestion in a traffic network.{{Cite journal |title=Minimizing the probability of the occurrence of traffic congestion in a traffic network |url=http://iopscience.iop.org/1751-8121/labtalk-article/45319 |journal=Journal of Physics A: Mathematical and Theoretical |archive-url=https://web.archive.org/web/20110309185340/http://iopscience.iop.org/1751-8121/labtalk-article/45319|archive-date=2011-03-09 }}

Rather than a mathematical model of traffic flow, Kerner's three-phase traffic theory is a qualitative traffic flow theory that consists of several hypotheses. The first mathematical model of traffic flow in the framework of Kerner's three-phase traffic theory that mathematical simulations can show and explain traffic breakdown by an F → S phase transition in the metastable free flow at the bottleneck was the Kerner-Klenov stochastic microscopic traffic flow model introduced in 2002.{{cite journal | url=https://iopscience.iop.org/article/10.1088/0305-4470/35/3/102/fulltext/ | doi=10.1088/0305-4470/35/3/102 | title=A microscopic model for phase transitions in traffic flow | date=2002 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Journal of Physics A: Mathematical and General | volume=35 | issue=3 | pages=L31–L43 | url-access=subscription }} Some months later, Kerner, Klenov, and Wolf developed a cellular automaton (CA) traffic flow model in the framework of Kerner's three-phase traffic theory.{{cite journal | url=https://iopscience.iop.org/article/10.1088/0305-4470/35/47/303 | doi=10.1088/0305-4470/35/47/303 | title=Cellular automata approach to three-phase traffic theory | date=2002 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Wolf | first3=Dietrich E. | journal=Journal of Physics A: Mathematical and General | volume=35 | issue=47 | pages=9971–10013 | arxiv=cond-mat/0206370 | bibcode=2002JPhA...35.9971K }} The Kerner-Klenov stochastic traffic flow model in the framework of Kerner's theory has further been developed for different applications, in particular to simulate on-ramp metering, speed limit control, dynamic traffic assignment in traffic and transportation networks, traffic at heavy bottlenecks and on moving bottlenecks, features of heterogeneous traffic flow consisting of different vehicles and drivers, jam warning methods, vehicle-to-vehicle (V2V) communication for cooperative driving, the performance of self-driving vehicles in mixture traffic flow, traffic breakdown at traffic signals in city traffic, over-saturated city traffic, vehicle fuel consumption in traffic networks.{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.68.036130 | doi=10.1103/PhysRevE.68.036130 | title=Microscopic theory of spatial-temporal congested traffic patterns at highway bottlenecks | date=2003 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Physical Review E | volume=68 | issue=3 | page=036130 | pmid=14524855 | arxiv=cond-mat/0309017 | bibcode=2003PhRvE..68c6130K }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/0305-4470/37/37/001 | doi=10.1088/0305-4470/37/37/001 | title=Spatial–temporal patterns in heterogeneous traffic flow with a variety of driver behavioural characteristics and vehicle parameters | date=2004 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Journal of Physics A: Mathematical and General | volume=37 | issue=37 | pages=8753–8788 | bibcode=2004JPhA...37.8753K | url-access=subscription }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/0305-4470/39/8/002/meta | doi=10.1088/0305-4470/39/8/002 | title=Deterministic microscopic three-phase traffic flow models | date=2006 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Journal of Physics A: Mathematical and General | volume=39 | issue=8 | pages=1775–1809 | arxiv=physics/0507120 | bibcode=2006JPhA...39.1775K }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.80.056101 | doi=10.1103/PhysRevE.80.056101 | title=Phase transitions in traffic flow on multilane roads | date=2009 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Physical Review E | volume=80 | issue=5 | page=056101 | pmid=20365037 | bibcode=2009PhRvE..80e6101K | url-access=subscription }}{{cite journal | url=https://journals.sagepub.com/doi/10.3141/2124-07 | doi=10.3141/2124-07 | title=A Study of Phase Transitions on Multilane Roads in the Framework of Three-Phase Traffic Theory | date=2009 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Transportation Research Record: Journal of the Transportation Research Board | volume=2124 | pages=67–77 | url-access=subscription }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/1751-8113/43/42/425101 | doi=10.1088/1751-8113/43/42/425101 | title=A theory of traffic congestion at moving bottlenecks | date=2010 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | journal=Journal of Physics A: Mathematical and Theoretical | volume=43 | issue=42 | bibcode=2010JPhA...43P5101K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.046110 | doi=10.1103/PhysRevE.84.046110 | title=Simple cellular automaton model for traffic breakdown, highway capacity, and synchronized flow | date=2011 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Schreckenberg | first3=Michael | journal=Physical Review E | volume=84 | issue=4 | page=046110 | pmid=22181230 | bibcode=2011PhRvE..84d6110K | url-access=subscription }}{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0378437113003488 | doi=10.1016/j.physa.2013.04.035 | title=Effect of driver over-acceleration on traffic breakdown in three-phase cellular automaton traffic flow models | journal=Physica A: Statistical Mechanics and Its Applications | date=15 September 2013 | volume=392 | issue=18 | pages=4083–4105 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Hermanns | first3=Gerhard | last4=Schreckenberg | first4=Michael | bibcode=2013PhyA..392.4083K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.89.052807 | doi=10.1103/PhysRevE.89.052807 | title=Probabilistic physical characteristics of phase transitions at highway bottlenecks: Incommensurability of three-phase and two-phase traffic-flow theories | date=2014 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Schreckenberg | first3=Michael | journal=Physical Review E | volume=89 | issue=5 | page=052807 | pmid=25353844 | bibcode=2014PhRvE..89e2807K | url-access=subscription }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/0305-4470/39/9/002/meta | doi=10.1088/0305-4470/39/9/002 | title=Criterion for traffic phases in single vehicle data and empirical test of a microscopic three-phase traffic theory | date=2006 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Hiller | first3=Andreas | journal=Journal of Physics A: Mathematical and General | volume=39 | issue=9 | pages=2001–2020 | arxiv=physics/0507094 | bibcode=2006JPhA...39.2001K }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.73.046107 | doi=10.1103/PhysRevE.73.046107 | title=Microscopic features of moving traffic jams | date=2006 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Hiller | first3=Andreas | last4=Rehborn | first4=Hubert | journal=Physical Review E | volume=73 | issue=4 | page=046107 | pmid=16711878 | arxiv=physics/0510167 | bibcode=2006PhRvE..73d6107K }}{{cite journal | url=https://link.springer.com/article/10.1007/s11071-006-9113-1 | doi=10.1007/s11071-006-9113-1 | title=Empirical test of a microscopic three-phase traffic theory | date=2007 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Hiller | first3=Andreas | journal=Nonlinear Dynamics | volume=49 | issue=4 | pages=525–553 | bibcode=2007NonDy..49..525K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.88.054801 | doi=10.1103/PhysRevE.88.054801 | title=Synchronized flow in oversaturated city traffic | date=2013 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Hermanns | first3=Gerhard | last4=Hemmerle | first4=Peter | last5=Rehborn | first5=Hubert | last6=Schreckenberg | first6=Michael | journal=Physical Review E | volume=88 | issue=5 | page=054801 | pmid=24329392 | bibcode=2013PhRvE..88e4801K | url-access=subscription }}{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.045102 | doi=10.1103/PhysRevE.84.045102 | title=Physics of traffic gridlock in a city | date=2011 | last1=Kerner | first1=Boris S. | journal=Physical Review E | volume=84 | issue=4 | page=045102 | pmid=22181213 | arxiv=1108.4310 | bibcode=2011PhRvE..84d5102K }}{{cite journal|url=https://iopscience.iop.org/0295-5075/102/2/28010/|doi=10.1209/0295-5075/102/28010 |title=The physics of green-wave breakdown in a city |date=2013 |last1=Kerner |first1=Boris S. |journal=Europhysics Letters |volume=102 |issue=2 |page=28010 |bibcode=2013EL....10228010K |url-access=subscription }}{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0378437113010510 | doi=10.1016/j.physa.2013.11.009 | title=Three-phase theory of city traffic: Moving synchronized flow patterns in under-saturated city traffic at signals | journal=Physica A: Statistical Mechanics and Its Applications | date=March 2014 | volume=397 | pages=76–110 | last1=Kerner | first1=Boris S. | bibcode=2014PhyA..397...76K | url-access=subscription }}{{cite journal | url=https://iopscience.iop.org/article/10.1088/1742-5468/2014/03/P03001 | doi=10.1088/1742-5468/2014/03/P03001 | title=Traffic breakdown at a signal: Classical theory versus the three-phase theory of city traffic | date=2014 | last1=Kerner | first1=Boris S. | last2=Klenov | first2=Sergey L. | last3=Schreckenberg | first3=Michael | journal=Journal of Statistical Mechanics: Theory and Experiment | issue=3 | pages=P03001 | bibcode=2014JSMTE..03..001K | url-access=subscription }}

Three phase traffic theory is a theoretical basis for applications in transportation engineering. One of the first applications of the three-phase traffic theory is ASDA/FOTO methods that are used in on-line applications for spatiotemporal reconstruction of congested traffic patterns in highway networks.{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0968090X04000270 | doi=10.1016/j.trc.2004.07.015 | title=Recognition and tracking of spatial–temporal congested traffic patterns on freeways | date=2004 | last1=Kerner | first1=Boris S. | last2=Rehborn | first2=Hubert | last3=Aleksic | first3=Mario | last4=Haug | first4=Andreas | journal=Transportation Research Part C: Emerging Technologies | volume=12 | issue=5 | pages=369–400 | bibcode=2004TRPC...12..369K | url-access=subscription }}{{Cite book |last1=Rehborn |first1=Hubert |url=https://shop.elsevier.com/books/data-driven-traffic-engineering/rehborn/978-0-12-819138-5 |title=Data-Driven Traffic Engineering |last2=Koller |first2=Micha |last3=Kaufmann |first3=Stefan |date=23 October 2020 |publisher=Elsevier |isbn=978-0-12-819138-5}}

In 2004 Kerner introduced congested pattern control approach.{{cite journal | url=https://www.sciencedirect.com/science/article/pii/S0378437105004000 | doi=10.1016/j.physa.2005.04.025 | title=Control of spatiotemporal congested traffic patterns at highway bottlenecks | journal=Physica A: Statistical Mechanics and Its Applications | date=15 September 2005 | volume=355 | issue=2 | pages=565–601 | last1=Kerner | first1=Boris S. | bibcode=2005PhyA..355..565K | url-access=subscription }}{{cite journal | url=https://ieeexplore.ieee.org/document/4220655 | doi=10.1109/TITS.2007.894192 | title=Control of Spatiotemporal Congested Traffic Patterns at Highway Bottlenecks | date=2007 | last1=Kerner | first1=Boris S. | journal=IEEE Transactions on Intelligent Transportation Systems | volume=8 | issue=2 | pages=308–320 | url-access=subscription }} Contrarily to standard traffic control at a network bottleneck in which a controller (for example, through the use of on-ramp metering, speed limit, or other traffic control strategies) tries to maintain free flow conditions at the maximum possible flow rate at the bottleneck, in congested pattern control approach no control of traffic flow at the bottleneck is realized as long as free flow is realized at the bottleneck. Only when an F → S transition (traffic breakdown) has occurred at the bottleneck, the controller starts to work trying to return free flow at the bottleneck. Congested pattern control approach is consistent with the empirical nucleation nature of traffic breakdown. Due to the congested pattern control approach, either free flow recovers at the bottleneck or traffic congestion is localized at the bottleneck.{{cite journal | url=https://journals.sagepub.com/doi/pdf/10.3141/1999-04 | doi=10.3141/1999-04 | title=Study of Freeway Speed Limit Control Based on Three-Phase Traffic Theory | date=2007 | last1=Kerner | first1=Boris S. | journal=Transportation Research Record: Journal of the Transportation Research Board | volume=1999 | pages=30–39 | url-access=subscription }}{{cite journal | url=https://journals.sagepub.com/doi/10.3141/2088-09 | doi=10.3141/2088-09 | title=On-Ramp Metering Based on Three-Phase Traffic Theory Downstream Off-Ramp and Upstream On-Ramp Bottlenecks | date=2008 | last1=Kerner | first1=Boris S. | journal=Transportation Research Record: Journal of the Transportation Research Board | volume=2088 | pages=80–89 | url-access=subscription }}

In 2004 Kerner introduced a concept of an autonomous driving vehicle in the framework of the three-phase traffic theory. The autonomous driving vehicle in the framework of the three-phase traffic theory is a self-driving vehicle for which there is no fixed time headway to the preceding vehicle.{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.042303 | doi=10.1103/PhysRevE.97.042303 | title=Physics of automated driving in framework of three-phase traffic theory | date=2018 | last1=Kerner | first1=Boris S. | journal=Physical Review E | volume=97 | issue=4 | page=042303 | pmid=29758629 | arxiv=1710.10852 | bibcode=2018PhRvE..97d2303K }}{{cite book | chapter-url=https://doi.org/10.1007/978-1-4939-8763-4_724 | doi=10.1007/978-1-4939-8763-4_724 | chapter=Autonomous Driving in the Framework of Three-Phase Traffic Theory | title=Complex Dynamics of Traffic Management | date=2019 | last1=Kerner | first1=Boris S. | pages=343–385 | isbn=978-1-4939-8762-7 }}{{cite journal | url=https://doi.org/10.1016/j.physa.2020.125315 | doi=10.1016/j.physa.2020.125315 | title=Effect of autonomous driving on traffic breakdown in mixed traffic flow: A comparison of classical ACC with three-traffic-phase-ACC (TPACC) | date=2021 | last1=Kerner | first1=Boris S. | journal=Physica A: Statistical Mechanics and Its Applications | volume=562 | bibcode=2021PhyA..56225315K | url-access=subscription }}

In 2015 Kerner found that before traffic breakdown occurs at a highway bottleneck, there can be a random sequence of F → S → F transitions at the bottleneck<: The development of a F → S transition is interrupted by a S → F instability that leads to synchronized flow dissolution resulting in a S → F transition at the bottleneck. The effect of Kerner's F → S → F transitions is as follows: The F → S → F transitions determine a random time delay of traffic breakdown at the bottleneck.{{cite journal | url=https://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.062827 | doi=10.1103/PhysRevE.92.062827 | title=Microscopic theory of traffic-flow instability governing traffic breakdown at highway bottlenecks: Growing wave of increase in speed in synchronized flow | date=2015 | last1=Kerner | first1=Boris S. | journal=Physical Review E | volume=92 | issue=6 | page=062827 | pmid=26764764 | arxiv=1511.04912 | bibcode=2015PhRvE..92f2827K }}

Kerner argues there is a new paradigm of traffic and transportation science following from the empirical nucleation nature of traffic breakdown (F → S transition) and that three-phase traffic theory changes the meaning of stochastic highway capacity as follows. At any time instant there is a range of highway capacity values between a minimum and a maximum highway capacity, which are themselves stochastic values. When the flow rate at a bottleneck is inside this capacity range related to this time instant, traffic breakdown can occur at the bottleneck only with some probability, i.e., in some cases traffic breakdown occurs, in other cases it does not occur.{{cite book | url=https://link.springer.com/book/10.1007/978-3-030-79602-0 | doi=10.1007/978-3-030-79602-0 | title=Understanding Real Traffic | date=2021 | last1=Kerner | first1=Boris S. | isbn=978-3-030-79601-3 }}{{Page needed|date=June 2021}}

In 2016 Kerner developed an application of the breakdown minimization principle called network throughput maximization approach. Kerner's network throughput maximization approach is devoted to the maximization of the network throughput while keeping free flow conditions in the whole network.{{cite journal | url=https://epjb.epj.org/articles/epjb/abs/2016/09/b160395/b160395.html | doi=10.1140/epjb/e2016-70395-8 | title=The maximization of the network throughput ensuring free flow conditions in traffic and transportation networks: Breakdown minimization (BM) principle versus Wardrop's equilibria | date=2016 | last1=Kerner | first1=Boris S. | journal=The European Physical Journal B | volume=89 | issue=9 | page=199 | bibcode=2016EPJB...89..199K | url-access=subscription }}

In 2016 Kerner introduced a measure (or "metric") of a traffic or transportation network called network capacity.

In 2019 Kerner found that there is a spatiotemporal competition between S → F and S → J instabilities.

• Three-phase traffic theory
• Traffic congestion: Reconstruction with Kerner's three-phase theory

{{Reflist}}

• Gao, K., Jiang, R., Hu, S-X., Wang, B-H. & Wu, Q. S., [https://journals.aps.org/pre/abstract/10.1103/PhysRevE.76.026105 "Cellular-automaton model with velocity adaptation in the framework of Kerner's three-phase traffic theory" Phys. Rev. E 76,026105 (2007). doi: 10.1103/PhysRevE.76.026105]
• Hubert Rehborn, Sergey L. Klenov, [https://www.springer.com/physics/complexity?SGWID=0-40619-6-659409-0 "Traffic Prediction of Congested Patterns", In: R. Meyers (Ed.): Encyclopedia of Complexity and Systems Science], Springer New York, 2009, pp. 9500–9536
• Hubert Rehborn, Jochen Palmer, [https://ieeexplore.ieee.org/document/4621192 "ASDA/FOTO based on Kerner's three-phase traffic theory in North Rhine-Westphalia and its integration into vehicles", 2008 IEEE Intelligent Vehicles Symposium, pp. 186–191. doi: 10.1109/IVS.2008.4621192]
• Hubert Rehborn, Sergey L. Klenov, Jochen Palmer, [https://ieeexplore.ieee.org/abstract/document/5940394 "Common traffic congestion features studied in USA, UK, and Germany based on Kerner's three-phase traffic theory", 2011 IEEE Intelligent Vehicles Symposium (IV), pp. 19–24. doi: 10.1109/IVS.2011.5940394]
• L. C. Davis, A review on the book by B. S. Kerner, [https://dx.doi.org/10.1063/1.3366241 "Introduction to Modern Traffic Flow Theory and Control"] in Physics Today, Vol. 63, Issue 3 (2010), p. 53.
• Kjell Hausken and Hubert Rehborn https://link.springer.com/chapter/10.1007/978-3-319-11674-7_5 "Game-Theoretic Context and Interpretation of Kerner's Three-Phase Traffic Theory", In: "Game Theoretic Analysis of Congestion, Safety and Security: Traffic and Transportation Theory", Springer Series in Reliability Engineering, edited by Kjell Hausken and Jun Zhuang (Springer, Berlin, 2015), pp. 113–141. doi: 10.1007/978-3-319-11674-7_5]
• Hubert Rehborn, Sergey L. Klenov, Micha Koller [https://doi.org/10.1007/978-1-4939-8763-4_564 "Traffic Prediction of Congested Patterns", In: "Complex Dynamics of Traffic Management", Encyclopedia of Complexity and Systems Science Series, 2nd ed., edited by Boris S. Kerner (Springer, New York, 2019), pp. 501–557. doi: 10.1007/978-1-4939-8763-4_564]
• Junfang Tian, Chenqiang Zhu, and Rui Jiang [https://doi.org/10.1007/978-1-4939-8763-4_670 "Cellular Automaton Models in the Framework of Three-Phase Traffic Theory", In: "Complex Dynamics of Traffic Management", Encyclopedia of Complexity and Systems Science Series, 2nd ed., edited by Boris S. Kerner (Springer, New York, 2019), pp. 313–342. doi: 10.1007/978-1-4939-8763-4_670]
• X. Hu, F. Zhang, J. Lub, M. Liu, Y. Ma, and Q. Wan, [https://www.sciencedirect.com/science/article/pii/S0378437119307071 "Research on influence of sun glare in urban tunnels based on cellular automaton model in the framework of Kerner's three-phase traffic theory" Physica A 527, 121176 (2019). doi: 10.1016/j.physa.2019.121176]

{{Authority control}}

{{DEFAULTSORT:Kerner, Boris}}

Category:1947 births

Category:20th-century German physicists

Category:Transport engineers

Category:Living people

Category:Place of birth missing (living people)

Category:Academic staff of the University of Duisburg-Essen