horizon-lead Goto Github PK
Name: LEAD
Type: Organization
Bio: Horizon 2020 Project LEAD - Low-Emission Adaptive last mile logistics supporting on demand economy through Digital Twins
Name: LEAD
Type: Organization
Bio: Horizon 2020 Project LEAD - Low-Emission Adaptive last mile logistics supporting on demand economy through Digital Twins
The model is based on Daganzo's distance estimation formula to provide last-mile logistics services operators with a rough estimation of the resources required for distributing in a specific zone. It returns the number of vehicles, the total distance drove and delivery time for distributing to all the nodes within the zone. The routes start and end in the same depot. The data required is the information about the depot (coordinates), the vehicle used (speed, capacity), the services and the delivery area dimension (m2) and centroid.
Updated version of the 2echelon model available in https://github.com/Horizon-LEAD/2echelon. Improved version that calculates 1echelon distribution networks and 2echelon distribution networks
Agent Based Model using NetLogo
A webservice that provides an API to execute the COPERT model.
A MILP formulation of the Facility Location Problem model focusing finding optimal locations of Charging Stations in Logistics Networks based on distances and demand.
A discrete choice model created for Rstudio
Experimental Design for Choice experiments (stated preference) - RStudio
An open synthetic population of Γle-de-France for agent-based transport simulation
IRTX JSprit Implementation
IRTX JSprit to COPERT connector
IRTX JSprit to MATSim connector
IRTX MATSim Implementation
IRTX MATSim to COPERT connector
IRTX MATSim to Noise connector
IRTX Synthetic parcel model
IRTX Synthetic parcels to JSprit connector
IRTX Synthetic population model
Documentation for the LEAD platform
Multi-Agent Transport Simulation
This module assigns shipments and parcel trips to the road networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.