Data-driven Travel Demand Modelling and Agent-based Traffic Simulation in Amsterdam Urban Area

AbstractThe goal of this project is the development of a large-scale agent-based traffic simulation system for Amsterdam urban area, validated on sensor data and adjusted for decision support in critical situations and for policy making in sustainable city development, emission control and electric car research. In this paper we briefly describe the agent-based simulation workflow and give the details of our data- driven approach for (1) modeling the road network of Amsterdam metropolitan area extended by major national roads, (2) recreating the car owners population distribution from municipality demographic data, (3) modeling the agent activity based on travel survey, and (4) modeling the inflow and outflow boundary conditions based on the traffic sensor data. The models are implemented in scientific Python and MATSim agent-based freeware. Simulation results of 46.5 thousand agents -with travel plans sampled from the model distributions- show that travel demand model is consistent, but should be improved to correspond with sensor data. The next steps in our project are: extensive validation, calibration and testing of large-scale scenarios, including critical events like the major power outage in the Netherlands (doi:10.1016/j.procs.2015.11.039), and modelling emissions and heat islands caused by traffic jams

Coherent effects on ultrashort pulse interaction in a doped fibre

We study numerically the interaction of adjacent solitons upon the condition of coherent amplification. After a critical length the interaction leads rather to soliton annihilation or fission than to their collision

Charm Effects in the MSˉ\bar{MS} Bottom Quark Mass from Υ\Upsilon Mesons

We study the shift in the $\Upsilon$ mass due to a non-zero charm quark mass. This shift affects the value of the $\bar{\rm MS}$ $b$-quark mass extracted from the $\Upsilon$ system by about -20 MeV, due to an incomplete cancellation of terms that are non-analytic in the charm quark mass. The precise size of the shift depends on unknown higher order corrections, and might have a considerable uncertainty if they are large.Comment: 7 pages, revtex, 2 postscript figure

Heavy ion beam probing conceptual design for the Globus-M2 tokamak

The paper discusses the application of the heavy ion beam probe (HIBP) diagnostic to the Globus-M2 spherical tokamak. Probing beam trajectory calculations were conducted to find the optimal position for HIBP primary and secondary beam-linesin the realistic machine geometry. Three configurations of the vacuum vessel ports of Globus-M2 were considered for the regime with toroidal magnetic field Btor=0.7 T and plasma current Ipl=0.5 MA. The optimal probing scheme with the widest area of the plasma cross-section covered by the detector grid was selected. For this scheme, the secondary beam-line was proposed.Розглянута можливість встановлення діагностики плазми пучком важких іонів на сферичний токамак Глобус-М2. Для визначення оптимального положення первинного і вторинного іонопроводів HIBP були проведені розрахунки траєкторій зондувального пучка з урахуванням реальної геометрії установки. Розглянуто три варіанти вхідних патрубків та режим з тороїдальним магнітним полем Btor=0,7 Тл та струмом плазми Ipl=0,5 MA. Обрано оптимальну схему зондування, що забезпечує максимальну площу покриття вертикального перерізу плазми детекторною сіткою, і конфігурація вторинного іонопроводу.Рассмотрена возможность установки диагностики плазмы пучком тяжелых ионов на сферический токамак Глобус-М2. Для определения оптимального положения первичного и вторичного ионопроводов HIBP были проведены расчеты траекторий зондирующего пучка с учетом реальной геометрии установки. Рассмотрены три варианта входных патрубков и режим с тороидальным магнитным полем Btor=0,7 Тл и током плазмы Ipl=0,5 MA. Выбраны оптимальная схема зондирования, обеспечивающая максимальную площадь покрытия вертикального сечения плазмы детекторной сеткой, и конфигурация вторичного ионопровода

Application of artificial intelligence in the branch and bound method on the example of various applied problems

The article describes the possible approaches to the use of artificial intelligence to improve the work of the branch and bound method in various applied problems. Various developments obtained by the authors earlier in the study of the branch and bound method are used, as well as new solutions to the problems are considered

Ultrasoft Renormalization in Non-Relativistic QCD

For Non-Relativistic QCD the velocity renormalization group correlates the renormalization scales for ultrasoft, potential and soft degrees of freedom. Here we discuss the renormalization of operators by ultrasoft gluons. We show that renormalization of soft vertices can induce new operators, and also present a procedure for correctly subtracting divergences in mixed potential-ultrasoft graphs. Our results affect the running of the spin-independent potentials in QCD. The change for the NNLL t-tbar cross section near threshold is very small, being at the 1% level and essentially independent of the energy. We also discuss implications for analyzing situations where mv^2 ~ Lambda_QCD.Comment: 31 pages, 11 fig