Traffic simulation

Traffic simulation

Traffic simulation or the simulation of transportation systems is the mathematical modeling of transportation systems (e.g., freeway junctions, arterial routes, roundabouts, downtown grid systems, etc.) through the application of computer software to better help plan, design, and operate transportation systems. Simulation of transportation systems started over forty years ago, and is an important area of discipline in traffic engineering and transportation planning today. Various national and local transportation agencies, academic institutions and consulting firms use simulation to aid in their management of transportation networks. Simulation in transportation is important because it can study models too complicated for analytical or numerical treatment, can be used for experimental studies, can study detailed relations that might be lost in analytical or numerical treatment and can produce attractive visual demonstrations of present and future scenarios. To understand simulation, it is important to understand the concept of system state, which is a set of variables that contains enough information to describe the evolution of the system over time. System state can be either discrete or continuous. Traffic simulation models are classified according to discrete and continuous time, state, and space. (Wikipedia).

Traffic simulation
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The Problem of Traffic: A Mathematical Modeling Journey

How can we mathematically model traffic? Specifically we will study the problem of a single lane of cars and the perturbation from equilibrium that occurs when one car brakes, and that braking effect travels down the line of cars, amplifying as it goes along, due to the delayed reaction ti

From playlist Cool Math Series

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How It's Made: Race Car Simulators

Stream Full Episodes of How It's Made: https://www.sciencechannel.com/tv-shows/how-its-made/ Subscribe to Science Channel: http://bit.ly/SubscribeScience Like us on Facebook: https://www.facebook.com/ScienceChannel Follow us on Twitter: https://twitter.com/ScienceChannel Follow us on

From playlist How It's Made

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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

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How Do Traffic Signals Work?

Traffic management in dense urban areas is an extremely complex problem with a host of conflicting goals and challenges. One of the most fundamental of those challenges happens at an intersection, where multiple streams of traffic - including vehicles, bikes and pedestrians - need to safel

From playlist Civil Engineering

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A solar system, a simulation made with Excel

An Excel simulation of the solar system. You can see how things are recursively computed: the mutual gravity force from the locations, the accelerations, the velocities, and finally the updated locations. The solar eclipse is also shown. This is clip is intended to illustrate Chapter 24 Ap

From playlist Physics simulations

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RIT Racing Vehicle Suspension Simulation

The video provides an overview of a MATLAB and Simulink simulation designed for use by the RIT Formula Racing Team to analyze the suspension system of a Formula SAE racecar.

From playlist 2014 Simulink Student Challenge

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What is Math Modeling? Video Series Part 1: What is Math Modeling?

Mathematical modeling provides answers to real world questions like “Which recycling program is best for my city?” “How will a flu outbreak affect the US,” or “Which roller coaster is the most thrilling?” In math modeling, you’ll use math to represent, analyze, make predictions or otherwis

From playlist M3 Challenge

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Traveling wave, a failed simulation

It failed because of a bad choice of parameters. http://calculus123.com

From playlist Physics simulations

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Vehicle Dynamics Visualization with Video Output

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From playlist Simulation Graphics and Reporting

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Benjamin Seibold: The Frustrating Beauty of Traffic Waves & How Automated Vehicles Can Prevent Them

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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020

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Dan Work: "Traffic Flow Smoothing at scale"

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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020

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Benjamin Seibold: "Basic Traffic Models and Traffic Waves" (Part 2/2)

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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020

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Benjamin Seibold: "Energy Impact of Automated Vehicles used as Sparse Traffic Controllers"

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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020

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Optimising flow within mobility systems with AI: Neil Walton and Damon Wischik

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From playlist AI for traffic control

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Prevent, Rather than Fix: Scaling to Enable Customers - Jason Ding Keynote

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From playlist Velocity Conference 2015 (Santa Clara, CA)

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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

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Alexandre Bayen: "Lagrangian control at large and local scales in mixed autonomy traffic flow"

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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020

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Cathy Wu: "Mixed Autonomy Traffic: A Reinforcement Learning Perspective"

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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020

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Modeling a Vehicle Powertrain - MATLAB and Simulink Video

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From playlist Physical Modeling

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Dirk Helbing: Economics 2.0

At the Vision in Science Conference 2013 in Dresden Dirk Helbing from the ETH Zurich compares our modern world with the world's greatest civilisations. By using traffic as an example, he talks about the predictability of human decisions. He shows how communication and information systems c

From playlist Most popular videos

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Monte Carlo method | Heun's method | Stochastic | Microscopic traffic flow model | Random seed