Santen, and A. Schadschneider , Statistical physics of vehicular traffic and some related systems , Physics Reports , vol. Helbing , Traffic and related self-driven many-particle systems , Reviews of Modern Physics , vol.
Payne , Models of freeway traffic and control , Proc. Simulation Council , vol. Whitham , Linear and nonlinear waves , Aw and M. Zhang , A non-equilibrium traffic model devoid of gas-like behavior , Transportation Research Part B: Methodological , vol. Gazis and C. Wang and M. Papageorgiou , Real-time freeway traffic state estimation based on extended Kalman filter: a general approach , Transportation Research Part B: Methodological , vol.
Blandin, A. Couque, A. Bayen, and D. Work , On sequential data assimilation for scalar macroscopic traffic flow models , Physica D: Nonlinear Phenomena , vol.
Boris S Kerner - Google Scholar Citations
Herrera, D. Work, R. Herring, X. Ban, Q. Jacobson et al. Work, S. Blandin, O. Tossavainen, B. Piccoli, and A. De-fabritiis, R. Ragona, and G. Hofleitner, R. Herring, P. Abbeel, and A. Nissan and H. Hegyi, B. De-schutter, and J.
Smulders , Control of freeway traffic flow by variable speed signs , Transportation Research Part B: Methodological , vol. Hegyi, S. Hoogendoorn, M.
Schreuder, H. Stoelhorst, and F. Popov, A. Hegyi, R. Papageorgiou and A.
- Boris Kerner;
- Assyrian Primer An Inductive Method Of Learning The Cuneiform Characters?
- Self Comes to Mind: Constructing the Conscious Brain.
- Congested traffic.
- The importance of antipersistence for traffic jams - IOPscience.
- Historical Atlas of Ancient Rome, The Penguin (Hist Atlas).
Gomes and R. Horowitz , Optimal freeway ramp metering using the asymmetric cell transmission model , Transportation Research Part C: Emerging Technologies , vol. Papageorgiou, H. Hadj-salem, and J. De-schutter, and H. Hellendoorn , Model predictive control for optimal coordination of ramp metering and variable speed limits , Transportation Research Part C: Emerging Technologies , vol.
- Boris S. Kerner (Author of Introduction To Modern Traffic Flow Theory And Control)!
- X-Ray Fluorescence Spectrometry.
- Concrete in Hot Environments (Modern Concrete Technology)!
- Boris S. Kerner (Author of Introduction To Modern Traffic Flow Theory And Control);
Papamichail, K. Kampitaki, M. Papageorgiou, and A. Lu, Z. Qiu, P.
The Physics Of Traffic: Empirical Freeway Pattern Features, Engineering Applications, And Theory
Varaiya, R. Horowitz, and S. Shladover , Combining variable speed limits with ramp metering for freeway traffic control , Proceedings of the American Control Conference , pp. Han, A. Hegyi, Y. Yuan, S. Kerner's three phase traffic theory is a theoretical basis for applications in transportation engineering.
In Kerner introduced congested pattern control approach. 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.
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. In 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. This means the existence of an indifference zone in car-following for the autonomous driving vehicle. Kerner's indifference zone in car-following results from Kerner's two-dimensional 2D region of steady states of synchronized flow hypothesized in the three-phase traffic theory.
In , Boris Kerner has expanded three phase traffic theory, which he developed initially for highway traffic, for the description of city traffic. It turns out that like traffic breakdown at highway bottlenecks, traffic breakdown transition from under- to over-saturated traffic at traffic signals is also a random phase transition that occurs in metastable under-saturated city traffic.
This theory of traffic breakdown at traffic signals can explain the physics of traffic gridlock in city traffic as well as the breakdown of green wave that is often observed in real city traffic. Moreover, like empirical studies of highway traffic, recent empirical studies of over-saturated city traffic prove the existence of empirical synchronized flow in city traffic.
In 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.