EVPA is an API that enables the emulation of dynamic eco-driving near signalized intersections in the microscopic traffic simulator Aimsun.

This repository focuses on promoting ecodriving practices tailored to industrial and commercial vehicles. It contains resources, guides, and code examples to optimize vehicle fuel efficiency, reduc…

Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning

This repository contains software for multi-agent simulation model of mixed traffic flow of connected (HVs) and automated vehicles (AVs) in Python using pygame, matplotlib, numpy, scipy and seaborn li…

Project using DQN and PPO deep reinforcement learning to learn to drive a car and control traffic lights at a simulated intersection

Paper-collections-of-Deep-Multi-Agent-Reinforcement-Learning

multi agent deep reinforcement learning in vehicular networks

This is the implementation of the work done in "Optimized self-adaptive PID speed control for autonomous vehicles" paper.

Energy efficient speed profile planning for trains and other rail vehicles.

PID steering and speed control for autonomous vehicles

Voltage-Based Braking Controls for Electric Vehicles Considering Weather Condition and Road Slope

This repo summaries the method that I used in my work to build communication between Simulink model and Python

Project started 2019 spring

An Intelligent Transportation System web application that performs data analytics and aggregations for transportation and weather data in Toronto.

Differential dynamic programming for trajectory tracking

The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Signalized Corridors'

Predictive strategy to estimate the driving range of electric vehicles and route them to the nearby charging stations.

Bai Liu's bachelor thesis project, on optimizing control strategies of auto-driving vehicles at crossroads

Hybrid Car Model MATLAB Simulink Simscape

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption …

A model based software development using SCADE Suite for hybrid electric vehicle to control the power and their source using energy distribution technology of automatic hybrid vehicle in which elec…

Advanced Energy Control Management System (Advanced-ECMS) for Electrical Vehicle System using proposed Plus Version of Alternating Direction Method of Multipliers (ADMM+) on Robotics Operating Syst…

To solve the constrained nonlinear optimization problem with equality constraints, Sequential Quadratic Programing (SQP) is implemented in the MATLAB.

This repo contains the codes used to develop the paper Energy and Emission Prediction forMixed-Vehicle Transit Fleets Using Multi-Taskand Inductive Transfer Learning submitted to ECML 2021

This repository contains the test data and code used for the paper titled "Physics-Based Machine Learning Framework for Predicting NOx Emissions from Compression-Ignition Engine Powered Vehicles" t…

Contains a wide variety of genetic algorithm variants

Contains basic particle swarm optimization algorithms and their variants