Combinatorial optimization | NP-complete problems
The vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem which asks "What is the optimal set of routes for a fleet of vehicles to traverse in order to deliver to a given set of customers?" It generalises the travelling salesman problem (TSP). It first appeared in a paper by George Dantzig and John Ramser in 1959, in which the first algorithmic approach was written and was applied to petrol deliveries. Often, the context is that of delivering goods located at a central depot to customers who have placed orders for such goods. The objective of the VRP is to minimize the total route cost. In 1964, Clarke and Wright improved on Dantzig and Ramser's approach using an effective greedy algorithm called the savings algorithm. Determining the optimal solution to VRP is NP-hard, so the size of problems that can be optimally solved using mathematical programming or combinatorial optimization may be limited. Therefore, commercial solvers tend to use heuristics due to the size and frequency of real world VRPs they need to solve. VRP has many direct applications in industry. Vendors of VRP routing tools often claim that they can offer cost savings of 5%–30%. (Wikipedia).
Why changing lanes doesn’t get you to your destination faster
We all have changed lanes when in a rush and running late, hoping it will get us to our destination faster. Unfortunately, this is the wrong move. Find out more information at https://bit.ly/3o5mbqH To get the latest science and technology news, subscribe to our newsletter "The Bluepr
From playlist All About Transportation
Stopping Distance (Factors affecting Stopping Distance and calculating it mathematically)
More resources available at www.misterwootube.com
From playlist Formulae and Equations
I guess this is what happens when you don't put anything up to keep the shopping carts from falling out of the truck.
From playlist Inertia
The Pros and Cons of Self-Driving Cars
We'll show you some of the ways self-driving cars could transform our lives in the near future. They could have a huge impact on jobs, traffic, car ownership, and much more. Visit https://edu.gcfglobal.org/en/thenow/what-are-selfdriving-cars/1/ for our text-based lesson. We hope you enjo
From playlist Technology Trends
Will self-driving cars change our lives?
It's an age-old question: when will we be able to use completely autonomous cars? To trust them, we must first understand the technology behind them. Here is how they work. To get the latest science and technology news, subscribe to our newsletter “The Blueprint” at https://bit.ly/3BDdN
From playlist All About Transportation
How to end traffic jams once and for all
Have you ever wondered what causes traffic? Indeed, what or who is responsible for the most time-consuming traffic jams? Is it human error? Poor city planning? Accidents? According to experts, the most significant contributor to extreme traffic is poor decision-making by humans. At first
From playlist All About Transportation
You’re Driving Wrong and It’s Causing Traffic Jams
Why is there so much commuter traffic? This mathematical model offers an insight into our traffic nightmares. Is Anything Truly Random? - https://youtu.be/tClZGWlRLoE Read More: Math Says You're Driving Wrong And It's Slowing Us All Down https://www.wired.com/story/math-says-youre-driv
From playlist Elements | Seeker
The driving test for driverless cars
How do you test whether a fully autonomous, self-driving car can cope with dangerous situations? In the real world accidents and near-misses are relatively rare — rare enough that it would take a lot of testing to see how a driverless car might react to different scenarios. Now a group of
From playlist Technology
Samitha Samaranayake: "Vehicle routing in transit centric mobility-on-demand systems"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Vehicle routing in transit centric mobility-on-demand systems" Samitha Samaranayake - Cornell University Institute for Pure and Applied Mathemati
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
MIT 1.258J Public Transportation Systems, Spring 2017 Instructor: Nigel Wilson, Gabriel Sanchez-Martinez, Neema Nassir View the complete course: https://ocw.mit.edu/1-258JS17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62AU7iNniqVoMl8C64tIOVk This lecture introduced
From playlist MIT 1.258J Public Transportation Systems, Spring 2017
This video explains about the basics of engine over run. A detailed video animation will be uploaded later. As you all know, the engine has a limited maximum speed at which it operates. But if we abuse the vehicle, the engine speed rises beyond the limited maximum speed. This phenomenon
From playlist Automobile Engineering.
Hani Mahmassani: "Deployment of Autonomous Fleet Mobility Services at Scale"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Deployment of Autonomous Fleet Mobility Services at Scale: Modeling Scenarios and Network Impacts" Hani Mahmassani - Northwestern University Abst
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Yafeng Yin: "Rhythmic Traffic Management and Control in Fully Automated Vehicle Environment"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Rhythmic Traffic Management and Control in Fully Automated Vehicle Environment" Yafeng Yin - University of Michigan Abstract: In this talk, we pr
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Nonprofit Project Demo: Options, Inc. - Big Lake, Minnesota
To learn more about our pro bono nonprofit projects, visit http://www.freecodecamp.com/nonprofits We're busy people who learn to code, then practice by building projects for nonprofits. Learn Full-stack JavaScript, build a portfolio, and get great references with our open source community
From playlist Some of our Nonprofit Projects
23C3: Vehicular Communication and VANETs
Speaker: Frank Kargl The future and security of communicating vehicles Vehicle communication is a major research topic, covered by many national and international research projects. Applications promise to make our driving safer, more efficient, and more fun. The talk presents applicat
From playlist 23C3: Who can you trust
M. Grazia Speranza: "Fundamentals of optimization" (Part 2/2)
Watch part 1/2 here: https://youtu.be/VdKija5AXOk Mathematical Challenges and Opportunities for Autonomous Vehicles Tutorials 2020 "Fundamentals of optimization" (Part 2/2) M. Grazia Speranza - University of Brescia Institute for Pure and Applied Mathematics, UCLA September 23, 2020 Fo
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Joseph Chow: "Design of cyberphysical autonomous mobility platforms"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Design of cyberphysical autonomous mobility platforms" Joseph Chow - New York University Abstract: One of the early markets for autonomous vehicl
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Michael Hyland: "Integrating State-of-the-Art Mobility-on-Demand Fleet Models into Transportatio..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Integrating State-of-the-Art Mobility-on-Demand Fleet Models into Transportation System Simulation Tools for Policy Analysis" Michael Hyland - Uni
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
"RM Models for Online Advertising and On-Demand Platforms" by Philipp Afèche - Session IV
This mini-course focuses on revenue management applications in online advertising and on-demand platforms with time-sensitive customers that give rise to novel matching and queueing models. For example, online advertising platforms match impressions supply to advertiser demand, whereas on-
From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management
How modern road barriers keep our roads safe
Driving down the massive modern highways of today would be far more dangerous if there weren’t barriers on the side of the roadway. 🚙 Have you ever wondered how road barriers keep cars and pedestrians safe? What would happen if we had no road barriers on our roads? 🤔 Watch our video to
From playlist All About Transportation