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Boris Kerner

From Wikipedia, the free encyclopedia
Boris S. Kerner
Boris S. Kerner, 2018
Born (1947-12-22) 22 December 1947 (age 76)
Moscow
CitizenshipGerman
Educationelectronic engineer,
Alma materMoscow Technical University MIREA
Known for
AwardsDaimler Research Award 1994
Scientific career
Fieldsnon-linear physics, traffic and transportation science
Institutions
  • Pulsar and Orion Companies (Moscow) (1972–1992)
  • Daimler Company (Germany) (1992–2013)
  • University Duisburg-Essen (2013–now)
Theses
  • Ph.D. in physics and mathematics  (1979)
  • Sc.D. (Doctor of Sciences) in physics and mathematics  (1986)

Boris S. Kerner (born 1947) is a German physicist and civil engineer who created three phase traffic theory.[1][2][3][4][5][6] The three phase traffic theory is the framework for the description of empirical vehicular traffic states in three traffic phases: (i) free traffic flow (F), (ii) synchronized traffic flow (S), and (iii) wide moving jam (J). The synchronized traffic flow and wide moving jam phases belong to congested traffic.

Biography

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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.[7]

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.[8][9][10][11][12][13][14] Boris Kerner was awarded with Daimler Research Award 1994.[15] 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.[16][17][18][19][20][21][22][23]

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.[24] After his retirement from the Daimler company on 31 January 2013 Prof. Kerner works at the University Duisburg-Essen.[25]

Scientific work

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Three phase traffic theory

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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.[26][27][28][29][30][31][32][33][34][35][36][37][38] 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).[16][17][18]

In 2011–2014, Boris Kerner has expanded three phase traffic theory, which he developed initially for highway traffic, for the description of city traffic.[39][40][41]

Synchronized traffic flow

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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.[16][17][18][42][43] 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.[26] 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.[16]

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.[16][17][18]

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.[44] 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.[45]

Mathematical models in the framework of three-phase traffic theory

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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.[46] 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.[47] 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.[48][49][50][51][52][53][54][55][56][57][58][59][60][39][40][41][61]

Intelligent transportation systems in the framework of three-phase traffic theory

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ASDA/FOTO methods for reconstruction of congested traffic patterns

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Three phase traffic theory is a theoretical basis for applications in transportation engineering.[16][17] 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.[62][63]

Congested pattern control approach

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In 2004 Kerner introduced congested pattern control approach.[16][64][65] 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.[66][67]

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.[68][69][70]

Work after 2015

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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.[71]

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.[16][17][18][72][page needed]

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.[73]

In 2016 Kerner introduced a measure (or "metric") of a traffic or transportation network called network capacity.[73][20]

In 2019 Kerner found that there is a spatiotemporal competition between S → F and S → J instabilities.[38]

See also

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References

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  1. ^ Browne, Malcolm W. (November 25, 1997). "Stuck in Traffic? Consult a Physicist". The New York Times.
  2. ^ Weiss, Peter (July 3, 1999). "Stop-and-Go Science". Science News. 156 (1): 8–10. doi:10.2307/4011684. JSTOR 4011684. Archived from the original on 2004-05-05.
  3. ^ Davis, Craig (April 2004). "Physicists and Traffic Flow" (PDF). APS News. 13 (4): 8. Archived from the original (PDF) on 2011-06-07.
  4. ^ "Adapting to road conditions". The Economist. July 1, 2004. Retrieved 2024-11-03.
  5. ^ Physics Today – November 2005 by Henry Lieu (Federal Highway Administration, McLean, Virginia), Reviewer of the book "The Physics of Traffic: Empirical Freeway Pattern Features, Engineering Applications, and Theory" by Boris S. Kerner[permanent dead link]
  6. ^ Article "Curing Congestion" in Discover Magazine, 1999
  7. ^ Kerner, B. S.; Osipov, V. V. (1994). Autosolitons: A New Approach to Problems of Self-Organization and Turbulence (Fundamental Theories of Physics). doi:10.1007/978-94-017-0825-8. ISBN 978-90-481-4394-8.
  8. ^ Kerner, B. S.; Konhäuser, P. (1993). "Cluster effect in initially homogeneous traffic flow". Physical Review E. 48 (4): R2335–R2338. Bibcode:1993PhRvE..48.2335K. doi:10.1103/PhysRevE.48.R2335. PMID 9960969.
  9. ^ Kerner, B. S.; Konhäuser, P. (1994). "Structure and parameters of clusters in traffic flow". Physical Review E. 50 (1): 54–83. Bibcode:1994PhRvE..50...54K. doi:10.1103/PhysRevE.50.54. PMID 9961944.
  10. ^ Kerner, B. S.; Konhäuser, P.; Schilke, M. (1995). "Deterministic spontaneous appearance of traffic jams in slightly inhomogeneous traffic flow". Physical Review E. 51 (6): 6243–6246. Bibcode:1995PhRvE..51.6243K. doi:10.1103/PhysRevE.51.6243. PMID 9963365.
  11. ^ Kerner, B. S.; Rehborn, H. (1996). "Experimental features and characteristics of traffic jams". Physical Review E. 53 (2): R1297–R1300. Bibcode:1996PhRvE..53.1297K. doi:10.1103/PhysRevE.53.R1297. PMID 9964470.
  12. ^ Kerner, B. S.; Rehborn, H. (1996). "Experimental properties of complexity in traffic flow". Physical Review E. 53 (5): R4275–R4278. Bibcode:1996PhRvE..53.4275K. doi:10.1103/PhysRevE.53.R4275. PMID 9964902.
  13. ^ Kerner, B. S.; Rehborn, H. (1997). "Experimental Properties of Phase Transitions in Traffic Flow". Physical Review Letters. 79 (20): 4030–4033. Bibcode:1997PhRvL..79.4030K. doi:10.1103/PhysRevLett.79.4030.
  14. ^ Kerner, B. S.; Klenov, S. L.; Konhäuser, P. (1997). "Asymptotic theory of traffic jams". Physical Review E. 56 (4): 4200–4216. Bibcode:1997PhRvE..56.4200K. doi:10.1103/PhysRevE.56.4200.
  15. ^ "Daimler-Benz, das Geschäftsjahr 1994", page 41
  16. ^ a b c d e f g h The Physics of Traffic. Understanding Complex Systems. 2004. doi:10.1007/978-3-540-40986-1. ISBN 978-3-642-05850-9.
  17. ^ a b c d e f Kerner, Boris S. (2009). Introduction to Modern Traffic Flow Theory and Control. doi:10.1007/978-3-642-02605-8. ISBN 978-3-642-02604-1.
  18. ^ a b c d e Kerner, Boris S. (2017). Breakdown in Traffic Networks. doi:10.1007/978-3-662-54473-0. ISBN 978-3-662-54471-6.
  19. ^ Kerner, Boris S. (2016). "Failure of classical traffic flow theories: Stochastic highway capacity and automatic driving". Physica A: Statistical Mechanics and Its Applications. 450: 700–747. arXiv:1601.02585. Bibcode:2016PhyA..450..700K. doi:10.1016/j.physa.2016.01.034.
  20. ^ a b Kerner, Boris S. (15 January 2017). "Breakdown minimization principle versus Wardrop's equilibria for dynamic traffic assignment and control in traffic and transportation networks: A critical mini-review". Physica A: Statistical Mechanics and Its Applications. 466: 626–662. Bibcode:2017PhyA..466..626K. doi:10.1016/j.physa.2016.09.034.
  21. ^ Kerner, Boris S. (November 2013). "Criticism of generally accepted fundamentals and methodologies of traffic and transportation theory: A brief review". Physica A: Statistical Mechanics and Its Applications. 392 (21): 5261–5282. Bibcode:2013PhyA..392.5261K. doi:10.1016/j.physa.2013.06.004.
  22. ^ Kerner, Boris S. (2015). "Failure of classical traffic flow theories: A critical review". E & I Elektrotechnik und Informationstechnik. 132 (7): 417–433. doi:10.1007/s00502-015-0340-3.
  23. ^ Kerner, Boris S., ed. (2019). Complex Dynamics of Traffic Management. doi:10.1007/978-1-4939-8763-4. ISBN 978-1-4939-8762-7.
  24. ^ Pressemitteilung der Universität Duisburg-Essen: UDE verleiht Verkehrsforscher außerplanmäßige Professur. Von Daimler zum Campus
  25. ^ Fakultät der Physik der Universität Duisburg-Essen, Physik von Transport und Verkehr: Mitglieder der Arbeitsgruppe
  26. ^ a b Kerner, B. S. (1998). "Experimental Features of Self-Organization in Traffic Flow". Physical Review Letters. 81 (17): 3797–3800. Bibcode:1998PhRvL..81.3797K. doi:10.1103/PhysRevLett.81.3797.
  27. ^ Kerner, Boris S. (1999). "Congested Traffic Flow: Observations and Theory". Transportation Research Record: Journal of the Transportation Research Board. 1678: 160–167. doi:10.3141/1678-20.
  28. ^ Kerner, Boris S. (1999). "The physics of traffic". Physics World. 12 (8): 25–30. doi:10.1088/2058-7058/12/8/30.
  29. ^ Kerner, Boris S. (2000). "Experimental features of the emergence of moving jams in free traffic flow". Journal of Physics A: Mathematical and General. 33 (26): L221–L228. doi:10.1088/0305-4470/33/26/101.
  30. ^ Kerner, Boris S. (2000). "Theory of Breakdown Phenomenon at Highway Bottlenecks". Transportation Research Record: Journal of the Transportation Research Board. 1710: 136–144. doi:10.3141/1710-16.
  31. ^ Kerner, Boris S. (2001). "Complexity of Synchronized Flow and Related Problems for Basic Assumptions of Traffic Flow Theories". Networks and Spatial Economics. 1 (1): 35–76. doi:10.1023/A:1011577010852.
  32. ^ Kerner, B. S. (March 2002). "Synchronized flow as a new traffic phase and related problems for traffic flow modelling". Mathematical and Computer Modelling. 35 (5): 481–508. doi:10.1016/S0895-7177(02)80017-6.
  33. ^ Kerner, Boris S. (2002). "Empirical Features of Congested Patterns at Highway Bottlenecks". Transportation Research Record: Journal of the Transportation Research Board. 1802: 145–154. doi:10.3141/1802-17.
  34. ^ Kerner, Boris S. (2002). "Empirical macroscopic features of spatial-temporal traffic patterns at highway bottlenecks". Physical Review E. 65 (4): 046138. Bibcode:2002PhRvE..65d6138K. doi:10.1103/PhysRevE.65.046138. PMID 12005957.
  35. ^ Kerner, Boris S. (15 February 2004). "Three-phase traffic theory and highway capacity". Physica A: Statistical Mechanics and Its Applications. 333: 379–440. arXiv:cond-mat/0211684. Bibcode:2004PhyA..333..379K. doi:10.1016/j.physa.2003.10.017.
  36. ^ Kerner, Boris S. (2008). "A theory of traffic congestion at heavy bottlenecks". Journal of Physics A: Mathematical and Theoretical. 41 (21). Bibcode:2008JPhA...41u5101K. doi:10.1088/1751-8113/41/21/215101.
  37. ^ Kerner, Boris S. (2012). "Complexity of spatiotemporal traffic phenomena in flow of identical drivers: Explanation based on fundamental hypothesis of three-phase theory". Physical Review E. 85 (3): 036110. Bibcode:2012PhRvE..85c6110K. doi:10.1103/PhysRevE.85.036110. PMID 22587152.
  38. ^ a b Kerner, Boris S. (2019). "Statistical physics of synchronized traffic flow: Spatiotemporal competition between 𝑆→𝐹 and 𝑆→𝐽 instabilities". Physical Review E. 100 (1): 012303. arXiv:1903.10218. doi:10.1103/PhysRevE.100.012303. PMID 31499898.
  39. ^ a b Kerner, Boris S. (2011). "Physics of traffic gridlock in a city". Physical Review E. 84 (4): 045102. arXiv:1108.4310. Bibcode:2011PhRvE..84d5102K. doi:10.1103/PhysRevE.84.045102. PMID 22181213.
  40. ^ a b Kerner, Boris S. (2013). "The physics of green-wave breakdown in a city". Epl (Europhysics Letters). 102 (2): 28010. Bibcode:2013EL....10228010K. doi:10.1209/0295-5075/102/28010.
  41. ^ a b Kerner, Boris S. (March 2014). "Three-phase theory of city traffic: Moving synchronized flow patterns in under-saturated city traffic at signals". Physica A: Statistical Mechanics and Its Applications. 397: 76–110. Bibcode:2014PhyA..397...76K. doi:10.1016/j.physa.2013.11.009.
  42. ^ Kerner, Boris S.; Koller, Micha; Klenov, Sergey L.; Rehborn, Hubert; Leibel, Michael (15 November 2015). "The physics of empirical nuclei for spontaneous traffic breakdown in free flow at highway bottlenecks". Physica A: Statistical Mechanics and Its Applications. 438: 365–397. Bibcode:2015PhyA..438..365K. doi:10.1016/j.physa.2015.05.102.
  43. ^ Kerner, Boris S.; Hemmerle, Peter; Koller, Micha; Hermanns, Gerhard; Klenov, Sergey L.; Rehborn, Hubert; Schreckenberg, Michael (2014). "Empirical synchronized flow in oversaturated city traffic". Physical Review E. 90 (3): 032810. Bibcode:2014PhRvE..90c2810K. doi:10.1103/PhysRevE.90.032810. PMID 25314485.
  44. ^ Kerner, Boris S (2011). "Optimum principle for a vehicular traffic network: Minimum probability of congestion". Journal of Physics A: Mathematical and Theoretical. 44 (9): 092001. arXiv:1010.5747. Bibcode:2011JPhA...44i2001K. doi:10.1088/1751-8113/44/9/092001. S2CID 118395854.
  45. ^ "Minimizing the probability of the occurrence of traffic congestion in a traffic network". Journal of Physics A: Mathematical and Theoretical. Archived from the original on 2011-03-09.
  46. ^ Kerner, Boris S.; Klenov, Sergey L. (2002). "A microscopic model for phase transitions in traffic flow". Journal of Physics A: Mathematical and General. 35 (3): L31–L43. doi:10.1088/0305-4470/35/3/102.
  47. ^ Kerner, Boris S.; Klenov, Sergey L.; Wolf, Dietrich E. (2002). "Cellular automata approach to three-phase traffic theory". Journal of Physics A: Mathematical and General. 35 (47): 9971–10013. arXiv:cond-mat/0206370. Bibcode:2002JPhA...35.9971K. doi:10.1088/0305-4470/35/47/303.
  48. ^ Kerner, Boris S.; Klenov, Sergey L. (2003). "Microscopic theory of spatial-temporal congested traffic patterns at highway bottlenecks". Physical Review E. 68 (3): 036130. arXiv:cond-mat/0309017. Bibcode:2003PhRvE..68c6130K. doi:10.1103/PhysRevE.68.036130. PMID 14524855.
  49. ^ Kerner, Boris S.; Klenov, Sergey L. (2004). "Spatial–temporal patterns in heterogeneous traffic flow with a variety of driver behavioural characteristics and vehicle parameters". Journal of Physics A: Mathematical and General. 37 (37): 8753–8788. Bibcode:2004JPhA...37.8753K. doi:10.1088/0305-4470/37/37/001.
  50. ^ Kerner, Boris S.; Klenov, Sergey L. (2006). "Deterministic microscopic three-phase traffic flow models". Journal of Physics A: Mathematical and General. 39 (8): 1775–1809. arXiv:physics/0507120. Bibcode:2006JPhA...39.1775K. doi:10.1088/0305-4470/39/8/002.
  51. ^ Kerner, Boris S.; Klenov, Sergey L. (2009). "Phase transitions in traffic flow on multilane roads". Physical Review E. 80 (5): 056101. Bibcode:2009PhRvE..80e6101K. doi:10.1103/PhysRevE.80.056101. PMID 20365037.
  52. ^ Kerner, Boris S.; Klenov, Sergey L. (2009). "A Study of Phase Transitions on Multilane Roads in the Framework of Three-Phase Traffic Theory". Transportation Research Record: Journal of the Transportation Research Board. 2124: 67–77. doi:10.3141/2124-07.
  53. ^ Kerner, Boris S.; Klenov, Sergey L. (2010). "A theory of traffic congestion at moving bottlenecks". Journal of Physics A: Mathematical and Theoretical. 43 (42). Bibcode:2010JPhA...43P5101K. doi:10.1088/1751-8113/43/42/425101.
  54. ^ Kerner, Boris S.; Klenov, Sergey L.; Schreckenberg, Michael (2011). "Simple cellular automaton model for traffic breakdown, highway capacity, and synchronized flow". Physical Review E. 84 (4): 046110. Bibcode:2011PhRvE..84d6110K. doi:10.1103/PhysRevE.84.046110. PMID 22181230.
  55. ^ Kerner, Boris S.; Klenov, Sergey L.; Hermanns, Gerhard; Schreckenberg, Michael (15 September 2013). "Effect of driver over-acceleration on traffic breakdown in three-phase cellular automaton traffic flow models". Physica A: Statistical Mechanics and Its Applications. 392 (18): 4083–4105. Bibcode:2013PhyA..392.4083K. doi:10.1016/j.physa.2013.04.035.
  56. ^ Kerner, Boris S.; Klenov, Sergey L.; Schreckenberg, Michael (2014). "Probabilistic physical characteristics of phase transitions at highway bottlenecks: Incommensurability of three-phase and two-phase traffic-flow theories". Physical Review E. 89 (5): 052807. Bibcode:2014PhRvE..89e2807K. doi:10.1103/PhysRevE.89.052807. PMID 25353844.
  57. ^ Kerner, Boris S.; Klenov, Sergey L.; Hiller, Andreas (2006). "Criterion for traffic phases in single vehicle data and empirical test of a microscopic three-phase traffic theory". Journal of Physics A: Mathematical and General. 39 (9): 2001–2020. arXiv:physics/0507094. Bibcode:2006JPhA...39.2001K. doi:10.1088/0305-4470/39/9/002.
  58. ^ Kerner, Boris S.; Klenov, Sergey L.; Hiller, Andreas; Rehborn, Hubert (2006). "Microscopic features of moving traffic jams". Physical Review E. 73 (4): 046107. arXiv:physics/0510167. Bibcode:2006PhRvE..73d6107K. doi:10.1103/PhysRevE.73.046107. PMID 16711878.
  59. ^ Kerner, Boris S.; Klenov, Sergey L.; Hiller, Andreas (2007). "Empirical test of a microscopic three-phase traffic theory". Nonlinear Dynamics. 49 (4): 525–553. Bibcode:2007NonDy..49..525K. doi:10.1007/s11071-006-9113-1.
  60. ^ Kerner, Boris S.; Klenov, Sergey L.; Hermanns, Gerhard; Hemmerle, Peter; Rehborn, Hubert; Schreckenberg, Michael (2013). "Synchronized flow in oversaturated city traffic". Physical Review E. 88 (5): 054801. Bibcode:2013PhRvE..88e4801K. doi:10.1103/PhysRevE.88.054801. PMID 24329392.
  61. ^ Kerner, Boris S.; Klenov, Sergey L.; Schreckenberg, Michael (2014). "Traffic breakdown at a signal: Classical theory versus the three-phase theory of city traffic". Journal of Statistical Mechanics: Theory and Experiment (3): P03001. Bibcode:2014JSMTE..03..001K. doi:10.1088/1742-5468/2014/03/P03001.
  62. ^ Kerner, Boris S.; Rehborn, Hubert; Aleksic, Mario; Haug, Andreas (2004). "Recognition and tracking of spatial–temporal congested traffic patterns on freeways". Transportation Research Part C: Emerging Technologies. 12 (5): 369–400. Bibcode:2004TRPC...12..369K. doi:10.1016/j.trc.2004.07.015.
  63. ^ Rehborn, Hubert; Koller, Micha; Kaufmann, Stefan (23 October 2020). Data-Driven Traffic Engineering. Elsevier. ISBN 978-0-12-819138-5.
  64. ^ Kerner, Boris S. (15 September 2005). "Control of spatiotemporal congested traffic patterns at highway bottlenecks". Physica A: Statistical Mechanics and Its Applications. 355 (2): 565–601. Bibcode:2005PhyA..355..565K. doi:10.1016/j.physa.2005.04.025.
  65. ^ Kerner, Boris S. (2007). "Control of Spatiotemporal Congested Traffic Patterns at Highway Bottlenecks". IEEE Transactions on Intelligent Transportation Systems. 8 (2): 308–320. doi:10.1109/TITS.2007.894192.
  66. ^ Kerner, Boris S. (2007). "Study of Freeway Speed Limit Control Based on Three-Phase Traffic Theory". Transportation Research Record: Journal of the Transportation Research Board. 1999: 30–39. doi:10.3141/1999-04.
  67. ^ Kerner, Boris S. (2008). "On-Ramp Metering Based on Three-Phase Traffic Theory Downstream Off-Ramp and Upstream On-Ramp Bottlenecks". Transportation Research Record: Journal of the Transportation Research Board. 2088: 80–89. doi:10.3141/2088-09.
  68. ^ Kerner, Boris S. (2018). "Physics of automated driving in framework of three-phase traffic theory". Physical Review E. 97 (4): 042303. arXiv:1710.10852. Bibcode:2018PhRvE..97d2303K. doi:10.1103/PhysRevE.97.042303. PMID 29758629.
  69. ^ Kerner, Boris S. (2019). "Autonomous Driving in the Framework of Three-Phase Traffic Theory". Complex Dynamics of Traffic Management. pp. 343–385. doi:10.1007/978-1-4939-8763-4_724. ISBN 978-1-4939-8762-7.
  70. ^ Kerner, Boris S. (2021). "Effect of autonomous driving on traffic breakdown in mixed traffic flow: A comparison of classical ACC with three-traffic-phase-ACC (TPACC)". Physica A: Statistical Mechanics and Its Applications. 562. Bibcode:2021PhyA..56225315K. doi:10.1016/j.physa.2020.125315.
  71. ^ Kerner, Boris S. (2015). "Microscopic theory of traffic-flow instability governing traffic breakdown at highway bottlenecks: Growing wave of increase in speed in synchronized flow". Physical Review E. 92 (6): 062827. arXiv:1511.04912. Bibcode:2015PhRvE..92f2827K. doi:10.1103/PhysRevE.92.062827. PMID 26764764.
  72. ^ Kerner, Boris S. (2021). Understanding Real Traffic. doi:10.1007/978-3-030-79602-0. ISBN 978-3-030-79601-3.
  73. ^ a b Kerner, Boris S. (2016). "The maximization of the network throughput ensuring free flow conditions in traffic and transportation networks: Breakdown minimization (BM) principle versus Wardrop's equilibria". The European Physical Journal B. 89 (9): 199. Bibcode:2016EPJB...89..199K. doi:10.1140/epjb/e2016-70395-8.

Sources

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