asu-trans-ai-lab Goto Github PK
Name: ASU Trans+AI Lab
Type: User
Bio: ASU Transportation AI Lab is a team led by Dr. Xuesong (Simon) Zhou, focusing on open-source tools for integrating AI methods with transportation systems.
Name: ASU Trans+AI Lab
Type: User
Bio: ASU Transportation AI Lab is a team led by Dr. Xuesong (Simon) Zhou, focusing on open-source tools for integrating AI methods with transportation systems.
AI-Based Traffic Flow Theory
Autonomous vehcle routing lite (AVRLite)
Big data driven Transportation Computational Graph
We introduce a new virtual track-based framework and open-source tools for modeling partially schedulable connected and automated mobility (CAM) systems on layered networks considering the emerging trend of CAM system deployment.
Congestion Bottleneck Identification: Convert TMC identification and reading files to GMNS node and link files, and perform QVDF estimation
A cell transmission model based on python
Multinomial Logit
CGLite
Fundamental diagram and volume delay function calibration
Open-source Python package designed for integration of deep learning (first DL) and traffic simulation, by extending original C++ based structure of DTALite (second DL)
Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models.
DTALite-Classic-Edition (before adopting GMNS standard QVDF functions in 2020)
MOVESLite implementation in DTALite for regional emission analysis
Simplified Version of DTALite for Education and Research
EV_charging_network_planning
Light weight version of four-step travel model: https://www.transitwiki.org/TransitWiki/index.php/Four-step_travel_model
A tool for generating zone-to-zone travel demand based on grid zones and gravity model
The use of AI to process images and identify which network with different movement and lane configurations is more likely to be correct.
AMS data Hub that connects all transportation modeling tools based on GMNS format
Linear-Exponential Adaptation Model
learning documents and computational tools for understanding transportation engineering and traffic analysis
Quadratic unconstrained binary optimization (QUBO)
merging two (macroscopic) and (microscopic) networks in one-layer network for DLSim
How to use NEXTA and QGIS to visualize and edit Analysis, Modeling, and Simulation (AMS) and General Travel Network Format Specification (GMNS) data sets.
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.