wwwkkkjj's Stars
inmaso/NXP-eMPC-Platoon-Control-Algorithm-Evaluation-Platform
vmintsis/enhanced-velocity-planning-algorithm
EVPA is an API that enables the emulation of dynamic eco-driving near signalized intersections in the microscopic traffic simulator Aimsun.
ikbajpai/Eco-Driving-for-Industrial-and-Commercial-Vehicles
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, reduce emissions, and enhance sustainability in fleet operations.
Guojyjy/CoTV
Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning
shanto268/comprehensive_simulation_traffic_analysis_software
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 libraries. The software is capable of simulating many different cases of traffic flow and creates data files and figures for the purpose of analysis.
Storn5/intersection-traffic-sim-dqn-ppo
Project using DQN and PPO deep reinforcement learning to learn to drive a car and control traffic lights at a simulated intersection
mail-ecnu/Paper-collections-of-Deep-Multi-Agent-Reinforcement-Learning
Paper-collections-of-Deep-Multi-Agent-Reinforcement-Learning
raoulraft/vehicular_marl
multi agent deep reinforcement learning in vehicular networks
yassinekebbati/GA-optimized-MLP-based-LPV_MPC
This is the implementation of the work done in "Optimized self-adaptive PID speed control for autonomous vehicles" paper.
vtfanta/OptimalTrainControl.jl
Energy efficient speed profile planning for trains and other rail vehicles.
kendrick1501/PID-Control
PID steering and speed control for autonomous vehicles
jonghoek/car-stop
Voltage-Based Braking Controls for Electric Vehicles Considering Weather Condition and Road Slope
z1223343/TCP-communication-between-Python-and-Maltab-Simulink
This repo summaries the method that I used in my work to build communication between Simulink model and Python
TianqiLi7398/EcoDriving_Intersection
Project started 2019 spring
shafaaf/TorontoCityDashboard
An Intelligent Transportation System web application that performs data analytics and aggregations for transportation and weather data in Toronto.
wenkairen/DDP_Simple_Car_Model
Differential dynamic programming for trajectory tracking
ZhihanLee/PPO-based-Eco-Driving-for-Prius
The environment code for the paper 'Learning-based Eco-driving Strategy Design for Connected Power-split Hybrid Electric Vehicles at Signalized Corridors'
vedasreereddy/eVehicle_Range_prediction-main
Predictive strategy to estimate the driving range of electric vehicles and route them to the nearby charging stations.
bailiumit/Auto-Driving-Tsinghua
Bai Liu's bachelor thesis project, on optimizing control strategies of auto-driving vehicles at crossroads
omerfaruktekin13/HybridCarModelMATLABSimulinkSimscape
Hybrid Car Model MATLAB Simulink Simscape
dassaniGeet/Routing
wangjail/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Dungyichao/Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning
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 than the route provided by Google map
kumar0505/Hybrid-Car-Power-Control
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 electric engine and internal combustion engine is working in series-parallel mode. In parallel series mode we can use one power or combination of power source to operate the vehicles according to situation. In the vehicle there is a plug in to charge the high voltage battery from external power source. And also, a regenerative braking system to restore the wastage of energy. By using KCG Code Generator generate C source code for their Embedded Control System.
ByungKwanLee/Adavanced-ECMS
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 System (ROS)
salilrsharma/Constrained-Non-Linear-Programing-Solver
To solve the constrained nonlinear optimization problem with equality constraints, Sequential Quadratic Programing (SQP) is implemented in the MATLAB.
StatResp/ECML_EnergyPrediction
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
panne027/AppliedEnergy2021
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" that is submitted to the Applied Energy Journal
qianqifeng/Genetic-Algorithm
Contains a wide variety of genetic algorithm variants
qianqifeng/Particle-Swarm-Optimization
Contains basic particle swarm optimization algorithms and their variants