Page 797 - AI for Good Innovate for Impact
P. 797
AI for Good Innovate for Impact
Use Case 4: Low-Cost Decision Making for Group of Vehicles for
Safe Mobility in V2X Transport 4.10: Intelligent
Country: India
Organization: Tata Consultancy Services Limited
Contact Person(s): Primary contact: Garima Mishra, garima.mishra2@ tcs .com, 9811964569
Secondary contact: Sai Bhavadeesh Yarlagadda, saibhavadeesh.yarlagadda@ tcs .com,
8106263461, Hemant Kumar Rath, hemant.rath@ tcs .com, 9035017741
1 Use Case Summary Table
Item Details
Category Low-cost and Safe Transport, V2X, 5G/6G
Problem 1. Change in Quality of Service (QoS) drastically within a short period due
Addressed to high mobility and fading of the wireless channel,
2. Pre-programmed ML algorithms,
3. High cost of on-board data computation
Key Aspects of Enhance the safety of vehicles, reduce the cost of expensive on-board data
Solution computation and analytics, and predictive QoS for vehicle platooning in
multi-environment scenarios.
Technology C-V2X, Predictive-QoS, multi-environment, Explainable AI (XAI), Vehicle
Keywords platooning
Data Availability Public dataset: 1. Berlin-V2X Dataset[1]
2. TiHAN-V2X Dataset[2]
Metadata (Type of Time-series data
Data)
Model Training Data pre-processing (Data cleaning, Feature reduction and selection),
and Fine-Tuning Lag-variable optimization, Trained on LightGBM Regressor for real-time
deployment, SHAP analysis for Explainable AI (XAI).
Testbeds or Pilot Virtual simulations in controlled environments
Deployments
Code repositories Fraunhofer HHI 2024 [9]
Takalani95 2024 [10]
761
