yululeah Goto Github PK
Name: YuLuLeah
Type: User
Bio: [email protected]
Name: YuLuLeah
Type: User
Bio: [email protected]
The Commute behavior, Traffic Congestion, and Parking model simulates traffic moving in a simplified city grid with several perpendicular one-way streets that forms an intersection. It allows you to control global variables, such as the parking ratio and the number of people, and explore traffic dynamics, particularly traffic congestion measured by average speed and average waiting time for parking, which add to the total utility. This model gives the cars destinations (house or work) to investigate the traffic flow of commuting people. The agents in this model use goal-based and adaptive cognition. ## HOW IT WORKS Each time step, the cars face the next destination they are trying to get to (work or house) and attempt to move forward at their current speed and keep a safety speed. If their current distance to the car directly in front of them is less than their safety distance, they decelerate. If the distance is larger than safety distance, they accelerate. If there is a red light or a stopped car in front of them, they stop. In each cycle, each car will be assigned one destination. Traffic lights at the intersection will automatically change at the beginning of each cycle. Once the car parked, it will take 20 seconds to get into the front door of a company and then the car dispears from the map, at the same time a parking spot is empty for the next one. If a car driving through its destination, however the parking spot is not empty, it will keep driving around until spot opens up.
Based on the MESA package in Python, this project builds an electric vehicle driving and charging simulation platform based on the agent-based modeling (ABM).
inde 599 2020 spring
Charging Behaviors and Energy Consumption of PHEV & BEV
Your team is required to develop a Shiny application for data collection and presentation in R. The interface that you design will include views and controls that can be used to enter and view data, as well as summarize/visualize the data that has been collected.
Network user equilibrium problems for the plug-in electric vehicles and gasoline vehicles subject to road length constraints
UW 2020 CSE546 HW0-4 Machine Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.