supershivam13 / Shortest_Route_Visualizer_for_Electric_Vehicles
☆13Updated 2 years ago
Related projects: ⓘ
- Agent-based Multimodal Urban Moblity Simulator resulting from the ERC MAGnUM project☆10Updated this week
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆17Updated 2 years ago
- ☆14Updated 2 years ago
- ☆8Updated 2 years ago
- This repository contains code related to solving and visualizing the Bi-Directional Electric Vehicle Routing Problem (B-EVRP) as well as …☆17Updated 2 years ago
- Electric Vehicle Routing Problem☆31Updated 3 years ago
- Congestion aware cooperative adaptive cruise control algorithm for mitigation of self organized traffic jam☆13Updated 3 years ago
- Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.☆12Updated 3 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: …☆14Updated 3 years ago
- Finding the optimal location for public charging stations – a GIS based MILP approach☆13Updated 2 years ago
- A Variable Neighborhood Descent with Ant Colony Optimization to Solve a Bilevel Problem with Station Location and Vehicles Routing☆14Updated 2 years ago
- This repository contains code related to a research paper I've been working on titled "Dynamic traffic assignment with a node-based cell …☆13Updated 5 years ago
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆13Updated last year
- ☆13Updated this week
- Battery charge management environment, designed as a multi-agent scenario with continuous observation and action space, where the agents …☆13Updated 3 years ago
- Minimizing Carbon Emission during EV Charging☆13Updated 2 years ago
- ⚡ A simulation of finding the shortest charging routes for electric vehicle fleets using ant colony optimization.☆14Updated last year
- optimizing locations of electric vehicle charging stations in the city of Toronto☆26Updated last year
- Simulation results of the paper: https://ieeexplore.ieee.org/document/9476848☆14Updated 3 years ago
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆21Updated last year
- Problem Statement A smart city needs smart mobility, and to achieve this objective, the travel should be made convenient through sustain…☆18Updated 5 years ago
- Python scripts for computing a dynamic user equilibrium solution for a multi-OD road network. The model uses a cell transmission model fo…☆12Updated 4 years ago
- electric vehicle charging scheduling☆13Updated 2 years ago
- 🧬 Solving MDVRP using evolutionary algorithms.☆14Updated 2 years ago
- Using Dantzig-Wolfe Decomposition to solve routing and scheduling problem for offshore wind farms☆17Updated 3 years ago
- Codes and instances used for Paper 'Modeling and Solving the Traveling Salesman Problem for a Plug-in Hybrid Electric Vehicle Considering…☆10Updated 5 months ago
- ☆13Updated this week
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆21Updated last year
- Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-obj…☆16Updated 2 years ago
- This repository documents the MATLAB implementation of several day-to-day (disequilibrium) dynamic traffic assignment models, e.g. based …☆23Updated 4 years ago