asu-trans-ai-lab Goto Github PK

ai_traffic_flow

AI-Based Traffic Flow Theory

asu-trans-ai-lab.github.io

avrlite

Autonomous vehcle routing lite (AVRLite)

btcg

Big data driven Transportation Computational Graph

camlite

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.

cbi

Congestion Bottleneck Identification: Convert TMC identification and reading files to GMNS node and link files, and perform QVDF estimation

cell_transmission_model_python

A cell transmission model based on python

cgchoice

Multinomial Logit

cglite

CGLite

data2supplymodel

Fundamental diagram and volume delay function calibration

dlsim-mrm

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)

dpcav

Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models.

dtalite

dtalite-classic-edition

DTALite-Classic-Edition (before adopting GMNS standard QVDF functions in 2020)

dtalite-moveslite

MOVESLite implementation in DTALite for regional emission analysis

dtalite-s

Simplified Version of DTALite for Education and Research

ev_charging_network_planning

EV_charging_network_planning

four-step_travel_model_lite

Light weight version of four-step travel model: https://www.transitwiki.org/TransitWiki/index.php/Four-step_travel_model

gmns_walk_bike

grid2demand

A tool for generating zone-to-zone travel demand based on grid zones and gravity model

gtfs2gmns

img2net

The use of AI to process images and identify which network with different movement and lane configurations is more likely to be correct.

integrated_modeling_gmns

AMS data Hub that connects all transportation modeling tools based on GMNS format

lea

Linear-Exponential Adaptation Model

learning-ai

learning documents and computational tools for understanding transportation engineering and traffic analysis

learning_quantum_computing-qubo_for_multimodal_transportation

Quadratic unconstrained binary optimization (QUBO)

mapmatching4gmns

mrm_networkmerger

merging two (macroscopic) and (microscopic) networks in one-layer network for DLSim

multi-resolution-train-scheduling

nexta4gmns

How to use NEXTA and QGIS to visualize and edit Analysis, Modeling, and Simulation (AMS) and General Travel Network Format Specification (GMNS) data sets.