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
☆261Jan 25, 2023Updated 3 years ago
Alternatives and similar repositories for Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning
Users that are interested in Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Electric Vehicle Routing Problem☆33Mar 31, 2021Updated 5 years ago
- Optimal Scheduling of Electric Vehicle Charging in Distribution Networks☆125Jun 9, 2018Updated 8 years ago
- Optimal travel routing through a network of electric vehicle charging and alternative fuel stations☆16Mar 2, 2023Updated 3 years ago
- Electric Vehicle Routing Problem with Time Windows☆39Jun 13, 2019Updated 7 years ago
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆31Nov 21, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- This project develops an optimal scheduling algorithm to minimize the total cost for charging and discharging of electric vehicles.☆77Sep 27, 2016Updated 10 years ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 years ago
- Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand…☆16Jul 27, 2020Updated 6 years ago
- Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data☆53Apr 30, 2024Updated 2 years ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Dec 4, 2022Updated 3 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: …☆20Feb 12, 2021Updated 5 years ago
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆65Oct 28, 2019Updated 6 years ago
- This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under condit…☆56Apr 11, 2022Updated 4 years ago
- Solver for the Electric Vehicle Routing Problem with Time Windows☆39Sep 16, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Pytorch Implementation for KDD22 paper "Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pric…☆76Mar 9, 2023Updated 3 years ago
- Energy-optimal Routing for Electric Vehicles using Deep Reinforcement Learning with Transformer☆38Jul 20, 2023Updated 3 years ago
- EVQUARIUM is an evaluation tool that quantifies the accessibility of EV charging station locations using queueing and graph theory. Given…☆24Mar 1, 2026Updated 7 months ago
- Distributed EV Charge Scheduling Algorithms☆26Nov 2, 2018Updated 7 years ago
- Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day…☆150Feb 14, 2023Updated 3 years ago
- Deep reinforcement learning based energy management strategy for hybrid electric vehicle☆267Jan 28, 2022Updated 4 years ago
- Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)☆26May 9, 2019Updated 7 years ago
- ☆46Jun 21, 2021Updated 5 years ago
- This is a paper implementation of IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 6, NOVEMBER 2014 on Electric Vehicle Charging Station Plac…☆21Sep 23, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆13Jun 10, 2023Updated 3 years ago
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic☆16Jun 27, 2023Updated 3 years ago
- Experimental OSM based route planner for electric vehicles with realistic consumption model aimed at research☆17Jan 1, 2026Updated 9 months ago
- Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management☆59Sep 22, 2021Updated 5 years ago
- 复刻论文Applied Energy的论文A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles，包含考虑电动汽车有序充放电的机组组合和最…☆101Nov 13, 2020Updated 5 years ago
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆30Sep 18, 2023Updated 3 years ago
- The Electric Vehicle Routing Problem (EVRP) is a twist on the classic Vehicle Routing Problem (VRP) that considers the limitations of el…☆41Aug 8, 2024Updated 2 years ago
- The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlie…☆25Jul 26, 2018Updated 8 years ago
- Smart charging algorithms with REST API for electric vehicle fleets☆67Mar 24, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Determine where to place new charging stations on a map based on locations of existing charging stations and points of interest.☆60May 29, 2026Updated 4 months ago
- ☆62Dec 17, 2024Updated last year
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆24Oct 31, 2021Updated 4 years ago
- This project optimizes EV charging station placement and capacity using MATLAB. It calculates optimal locations based on voltage stabilit…☆17Oct 10, 2024Updated 2 years ago
- This is the final project I wrote for my Matlab class that involved interpreting and outputting real-time data. We took weather measureme…☆20Nov 6, 2015Updated 10 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆710May 5, 2021Updated 5 years ago
- UCLA, Smart charging, minimize load variance, Particle Swarm Optimization☆22Dec 7, 2019Updated 6 years ago