Performance Analysis of Real Time Safety Warning Dissemination in Cooperative Driving

Implementation plan :
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Step 1: Initially, we created a 5G NR V2x Network with 50 Vehicles , 2 RSU and 1 server

Step 2: Then, we simulate and collect the cooperative data using V2X-VANET Cooperative Driving Dataset.

Step 3: Next, we perform Latency-aware warning dissemination using DENM with multi-Radio Access Technology method for “Adaptive Network Selection based on collected data.

Step 4: Next, we overtaking decisions dynamically using DRL based deep deterministic policy gradient (DDPG) method based on collected data.

Step 5: Next, we perform Vehicle interaction and identify intricate pedestrian decision-making patterns using Deep Multi-Agent Reinforcement Learning method based on collected data

Step 6: Next, we optimize the faults using Adaptive federated multi-agent reinforcement learning (AF-MARL) method based on collected data.

Step 7: Finally, we plot performance metrics for the following

7.1: Number of Vehicles vs. End-to-End Delay (ms)

7.2: Number of Vehicles vs. Packet Delivery Ratio (%)

7.3: Number of Vehicles vs. Communication Overhead (%)

7.4: Number of Vehicles vs. Energy Consumption (KJ)

7.5: Number of Epochs vs. Average reward (%)

7.6: Number of Epochs vs. Accuracy (%)

Software Requirements:
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1) Development Tool: OMNeT++ 4.6 or above with Veins and Simu5G

2) Operating System: Ubuntu 22.04 LTS

Note:
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1) If the implementation plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance.

2) Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming, as post-implementation changes will not be accommodated.

3) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.

4) If the plan satisfies your requirement, Please confirm with us.

5) Project based on Simulation only.

We perform with an Existing Approach Ref – 1: Title:- Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC