zekeriyyaa / Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-DataLinks
Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.
☆14Updated 3 years ago
Alternatives and similar repositories for Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data
Users that are interested in Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data are comparing it to the libraries listed below
Sorting:
- Implementation of an ADAS feature in Matlab and Simulink☆11Updated 6 years ago
- ☆13Updated 3 years ago
- ☆12Updated 4 years ago
- Multi-Class Classification | Transfer Learning With PySpark☆13Updated 5 years ago
- Prediction of Energy Consumption using Machine Learning for Energy Sustainability☆19Updated 6 years ago
- The workshop is designed to foster an enabling environment for individuals to build competence in the Edge Computing space.☆13Updated 2 years ago
- [NeurIPS'19-Competition] Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics☆26Updated 4 months ago
- This project aims to build a streaming application to perform real-time analytics of Covid-19 related tweets and deploy an ML model for r…☆14Updated 4 years ago
- Testing Spark Structured Streaming anf Kafka with real data from traffic sensors☆16Updated 2 years ago
- A Simulator for Traffic Intersection based on Crossroads technique☆10Updated 5 years ago
- Introduction to Reinforcement Learning: A Short Course☆19Updated 5 years ago
- The repository embes (embedded energy strategy) contains an algorithm to calculate an energy strategy for an all-electric race car in rea…☆15Updated 3 years ago
- ☆37Updated 5 years ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆14Updated 6 years ago
- An end-to-end implementation of a computer vision model for tracking vehicles from video.☆23Updated 4 years ago
- This project developed a light-duty CAV lane-changing (LC) model with four components: car following (CF), mandatory and incentive-based …☆13Updated 5 years ago
- Smart City project - Forecasting and optimizing HVAC system parameters in a large public building.☆12Updated 3 years ago
- A new Reinforcement Learning Environment☆36Updated 4 years ago
- Modeling ship performance curves to reduce fuel consumption☆23Updated 2 years ago
- ☆14Updated 2 years ago
- ☆10Updated 2 months ago
- "Adaptive Cruise Control for a Hybrid Vehicle with Deep Policy Gradients". Final project for ECE 517/414 Reinforcement Learning.☆12Updated 3 years ago
- ☆24Updated 3 years ago
- Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.☆11Updated 2 years ago
- Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.☆14Updated 4 years ago
- ☆17Updated 4 years ago
- Robust adaptive control of LPV systems☆15Updated 2 years ago
- Model predictive control–based value estimation for efficient reinforcement learning. This repository contains the code for the implement…☆11Updated last year
- PyTrafficSim is a light traffic simulator for research related purposes. PTS is the most easy way to test your self-driving algorithm wit…☆21Updated 4 years ago
- Dynamic Conditional Imitation Learning for Autonomous Driving☆21Updated 2 years ago