BARBARW2

BARBARW2's Stars

• TUMFTM/MCS_Analysis

  The novel Megawatt Charging System standard Implications on battery size and cell requirements for battery-electric long-haul trucks

  Language:Python71

• vidalt/HGS-CARP

  Hybrid Genetic Search for Arc Routing Problems. From "Node, edge, arc routing and turn penalties : Multiple problems - One neighborhood extension, Operations Research, 65(4), 2017", by Thibaut Vidal.

  Language:C++3421

• matsim-vsp/vsp-playgrounds

  The playgrounds of the TU Berlin MATSim team

  Language:Java55

• matsim-vsp/ev

  EV functionality for matsim

  Language:Java62

• matsim-vsp/ers

  Electric Roads for MATSim

  Language:Java21

• matsim-vsp/edvrp

  Electric DVRP for MATSim

  Language:Java6

• ccubc/ChargeUp

  optimizing locations of electric vehicle charging stations in the city of Toronto

  Language:Jupyter Notebook279

• data-x-sp19/EVAC

  Electric Vehicle Assisted Charging (EVAC) - Recommending the best locations for implementing electric vehicle charging infrastructure

  Language:Jupyter Notebook164

• openchargemap/ocm-system

  Open Charge Map is the global public registry of electric vehicle charging locations. Established 2011. Help wanted.

  Language:C#9933

• yululeah/CSP_ABM

  Based on the MESA package in Python, this project builds an electric vehicle driving and charging simulation platform based on the agent-based modeling (ABM).

  Language:Python94

• Sowmya-Iyer/COGNITIVE-AI-LED-CATEGORIZATION-OF-DRIVER-STOPS-APPLICATION

  Unsupervised learning was leveraged on data (electric vehicle (two-wheeler) with GPS location fired every few seconds of delivery agents of a company) to analyze and categorize stops as hubs, driver location, illegal stops and delivery locations by clustering and reinforced it with location description extracted using Google Places APls

  Language:Jupyter Notebook1

• xiaominglalala/Joint-Optimization-of-Electric-Vehicle-Delivery-and-Charging-2021-Spring

  JOINT OPTIMIZATION OF ELECTRIC VEHICLE DELIVERY AND CHARGING (2021 Spring)

  Language:Python2

• Bizkot/DeliveryElectricVehicles

  Language:Python1

• ashishpal17/Electric-Vehicles-EVs-Energy-Consumption-Estimation

  Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: numpy, pandas, matplotlib, seaborn

  Language:Jupyter Notebook143

• philippnormann/ev-charging-optimization

  ⚡ A simulation of finding the shortest charging routes for electric vehicle fleets using ant colony optimization.

  Language:Python141