SantoshPenugurthi / AI-Integrated-Blockchain-for-Autonomous-VehiclesLinks
The Decentralized Autonomous Vehicles project connects self-driving vehicles on a blockchain network, enabling secure real-time decision-making. It leverages decentralized nature, incident data sharing, and Vehicular IoT/VANET technology to enhance vehicle autonomy and ensure data security and privacy.
☆15Updated 2 years ago
Alternatives and similar repositories for AI-Integrated-Blockchain-for-Autonomous-Vehicles
Users that are interested in AI-Integrated-Blockchain-for-Autonomous-Vehicles are comparing it to the libraries listed below
Sorting:
- Simulating communication in a VANET (Vehicular Ad-Hoc Networks), and implementing access control, using concepts from blockchains, mainta…☆14Updated 3 years ago
- FL-TP: Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks☆25Updated last year
- Simulating V2V and V2I connectivity in Matlab using car following, lane changing models and entry and exit ramps on a 4-Highways, 3-Ramps…☆21Updated 10 years ago
- A trust inference model on the hyperledger that is attack proof for communication in ephemeral networks such as vehicular adhoc networks …☆17Updated 4 years ago
- Federated reinforcement learning applied to autonomous vehicle platoon control☆28Updated 2 years ago
- LSTM network to verify trajector prediction on the NGSIM dataset based on IoV-SFDL framework☆46Updated 2 years ago
- Traffic simulation project for dissertation☆122Updated 3 years ago
- Code for my Master's thesis, game theory for adversarial autonomous vehicle platooning scenarios☆13Updated 2 years ago
- Package wrote python to solve dynamic Stackelberg game with constraints. Based on ECC 2019 accepted paper titled "Linear quadratic Stacke…☆13Updated 6 years ago
- This is the code provided to support the paper of "Stackelberg Game Theory Based Optimization Model for the Design of Payment Mechanism i…☆25Updated 5 years ago
- A vehicular network simulator (SUMO+ns-3) encapsulated behind Gym API (OpenAI-Gym), which allows users to evaluate RL-enhanced vehicular …☆37Updated 3 years ago
- A lane changing optimization planning method for autonomous vehicles in mixed traffic flow. For lane changing using three degree curve an…☆17Updated last year
- Best lane-changing policy with various types of car, on SUMO simulator.☆13Updated last year
- 使用DDQN算法控制单个路口的红绿灯☆15Updated 3 years ago
- Scramble Crossing with Deep Reinforcement Learning☆9Updated last year
- A DDPG methord for vehicle controled based on DDPG☆16Updated 3 years ago
- Distributed Collaboration of Connected Autonomous Vehicles at Unsignalized Intersections using Parallel Monte Carlo Tree Search☆14Updated 3 years ago
- Master's thesis about Deep Reinforcement Learning for Decision Making in autonomous driving☆29Updated 6 years ago
- This GitHub repo hosts an RL-based Traffic Light Control System (TLCS) for optimizing intersections. Employing Reinforcement Learning, it…☆10Updated last year
- Reinforcement learning based on ramp entrance and exit control of urban trunk roads☆48Updated last year
- Computing Nash, Stackelberg game, and other types of equilibrium☆29Updated 5 years ago
- IoV simulation: Veins & SUMO & OMNeT++☆55Updated 2 months ago
- Autonomous Intersection Management in SUMO traffic simulator achieved with Python and TraCI libraries☆12Updated 5 years ago
- Code for the paper @article{ author={Armijos, A. S. C. and Li, A. and Cassandras, C. G.}, title={Maximizing Safety and Efficiency for Coo…☆19Updated last year
- A SUMO environment for verifying leader selection algorithms with noisy DSRC model☆11Updated 3 years ago
- Veins simulations of ad hoc vehicular networks.☆10Updated 7 years ago
- High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Le…☆30Updated 2 years ago
- This is our Final Year Project in Bachelors. We try to avoid congestion on two levels i.e Intersection level and Infrastructure to Vehicl…☆9Updated 4 years ago
- ☆11Updated 3 years ago
- ☆9Updated 4 years ago