A traffic generation model is a stochastic model of the traffic flows or data sources in a communication network, for example a cellular network or a computer network. A packet generation model is a traffic generation model of the packet flows or data sources in a packet-switched network. For example, a web traffic model is a model of the data that is sent or received by a user's web-browser. These models are useful during the development of telecommunication technologies, in view to analyse the performance and capacity of various protocols, algorithms and network topologies . (Wikipedia).
Logistic Growth Function and Differential Equations
This calculus video tutorial explains the concept behind the logistic growth model function which describes the limits of population growth. This shows you how to derive the general solution or logistic growth formula starting from a differential equation which describes the population gr
From playlist New Precalculus Video Playlist
Data Modeling Tutorial | Data Modeling for Data Warehousing | Data Warehousing Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, th
From playlist Data Warehousing Tutorial Videos
Learn about HEV modeling and simulation. In this video, you will: - Learn about different methods for creating HEV component models. - See how Powertrain Blockset™ and Simscape™ tools can be used for HEV modeling. - Learn best practices for getting started and creating new plant models.
From playlist Hybrid Electric Vehicles
Honeybee Population Growth Analysis Problem
Link: https://www.geogebra.org/m/CMqD7feC
From playlist Calculus: Dynamic Interactives!
Pseudorandom Number Generation and Stream Ciphers
Fundamental concepts of Pseudorandom Number Generation are discussed. Pseudorandom Number Generation using a Block Cipher is explained. Stream Cipher & RC4 are presented.
From playlist Network Security
Linear Growth: Dynamic & Modifiable Illustrator
Modeling linear growth: Dynamic modifiable illustrator & quick formative assessment with feedback: https://geogebra.org/m/gyvfh6ry & https://geogebra.org/m/frba5usr @GeoGebra #algebra
From playlist Algebra 1: Dynamic Interactives!
Modeling a Vehicle Powertrain - MATLAB and Simulink Video
Simscape Driveline™ is used to model a vehicle powertrain. Download a Dual Clutch Transmission Model: http://goo.gl/rsjbSk Learn more about Simscape Driveline: http://goo.gl/CdUc2Y Try Simscape Driveline: https://goo.gl/BrlkoM The model includes an engine, torque converter, gears, tires, a
From playlist Physical Modeling
10b Data Analytics: Spatial Continuity
Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.
From playlist Data Analytics and Geostatistics
Data Visualization: Types of Data
Here I introduce different types of data and highlight common ways to visualize them. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
Rinaldo Colombo: "On the Interplay between Mathematical Analysis and Traffic Modeling"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop IV: Social Dynamics beyond Vehicle Autonomy "On the Interplay between Mathematical Analysis and Traffic Modeling" Rinaldo Colombo - Università di Brescia Abstract: Mathematical Analysis offers a variety of to
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Transnet: Understanding traffic with open data and visualization
Abstract: Contemporary urban policy makers face a critical challenge over the next decade or so: transport infrastructure needs to be able to cope with growing (and increasingly mobile) populations, yet central and local governments are operating in an era of austerity where major new inv
From playlist Turing Seminars
Dan Work: "Transportation Engineering for Connected and Automated Vehicles" (Part 1/2)
Watch part 2/2 here: https://youtu.be/yAi6OPt34jo Mathematical Challenges and Opportunities for Autonomous Vehicles Tutorials 2020 "Transportation Engineering for Connected and Automated Vehicles" (Part 1/2) Dan Work - Vanderbilt University Institute for Pure and Applied Mathematics, UC
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Simone Göttlich: Traffic flow models with non-local flux and extensions to networks
We present a Godunov type numerical scheme for a class of scalar conservation laws with nonlocal flux arising for example in traffic flow modeling. The scheme delivers more accurate solutions than the widely used Lax-Friedrichs type scheme and also allows to show well-posedness of the mode
From playlist Numerical Analysis and Scientific Computing
M. Grazia Speranza: "Controlling unfairness in traffic networks"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Controlling unfairness in traffic networks" M. Grazia Speranza - Università di Brescia Abstract: Autonomous and connected vehicles enable, at lea
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Introduction to NetLogo by Bill Rand
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
Sharon Di: "Harnessing Mean-Field Game & Data Science for Mixed Autonomy"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop I: Individual Vehicle Autonomy: Perception and Control "Harnessing Mean-Field Game & Data Science for Mixed Autonomy" Sharon Di - Columbia University, Civil Engineering & Engineering Mechanics Abstract: As th
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Benjamin Seibold: "Basic Traffic Models and Traffic Waves" (Part 1/2)
Watch part 2/2 here: https://youtu.be/tDzbGUBWtcI Mathematical Challenges and Opportunities for Autonomous Vehicles Tutorials 2020 "Basic Traffic Models and Traffic Waves" (Part 1/2) Benjamin Seibold - Temple University Institute for Pure and Applied Mathematics, UCLA September 16, 2020
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Distributional symmetries and non commutative (...) - C. Male - Workshop 2 - CEB T3 2017
Camille Male / 26.10.17 Distributional symmetries and non commutative notions of independence The properties of the limiting non commutative distribution of random matrices can be usually understood thanks to the symmetry of the model, e.g. Voiculescu's asymptotic free independence occur
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
Benedetto Piccoli: "Beyond Vehicles and Other Flow Systems"
Mathematical Challenges and Opportunities for Autonomous Vehicles Tutorials 2020 "Beyond Vehicles and Other Flow Systems" Benedetto Piccoli - Rutgers University-Camden Institute for Pure and Applied Mathematics, UCLA September 25, 2020 For more information: https://www.ipam.ucla.edu/avt
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Create Parking Lots in Driving Scenario
Learn how you can design parking lots with custom geometries and layouts using the Driving Scenario API in a simple three-step process: 1. Create parking space objects to represent the different types of parking spaces in your parking lot (such as regular, accessible, and fire lane) 2. C
From playlist Tips and Tricks from MATLAB and Simulink Developers