asu-trans-ai-lab
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.
asu-trans-ai-lab's Stars
ERGO-Code/HiGHS
Linear optimization software
coin-or/COIN-OR-OptimizationSuite
A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.
dotbts/BPA
Bike, Pedestrian, and Accessibility
xzhou99/VRPLite
A dynamic programming implementation for VRPPDTW based on state–space–time network representations
yanyueliu/Cell_Transmission_Model_Python
A cell transmission model based on python
10heey1/TDSPP
Time-dependent shortest path problem
jiawlu/Time_Dependent_VRP_BnP
jdlph/TransOMS
State-of-the-art open-source applications for Transportation Optimization, Modeling, and Simulation
EddieZhu22/Ecosystem-Simulation
An Interactive Ecosystem Simulator Game
milan1981/Sigma-X
Excel-based computational engine for signalized intersections
asu-trans-ai-lab/DTALite-Classic-Edition
DTALite-Classic-Edition (before adopting GMNS standard QVDF functions in 2020)
asu-trans-ai-lab/MRM_NetworkMerger
merging two (macroscopic) and (microscopic) networks in one-layer network for DLSim
e-lo/GMNSpy
Python tool for general model network specification (GMNS)
EntaiWang99/Traffic-Assignment-with-Recursive-Logit-Model
EddieZhu22/Queue-based-temperature-model
Taehooie/CG-Based-Transportation-Planning-Models
Open-source Python codes for digitization of transportation planning models through computational graphs (CGs)