NMHD 4.0: Naturalistic Mobility and health Data Powered by Industry 4.0

Sponsored by IEEE ITSS Technical Committee on Naturalistic Driving Data Analytics

IEEE International Conference on Intelligent Transportation Systems

September 27, 2024 | Edmonton, Canada  

Scope

Naturalistic driving data has long been the gold standard for understanding driver responses to the driving environment. The next innovation involves expanding this data collection to include activity monitoring and physiological data using scalable and user-friendly technology, potentially involving up to 100,000 users.

Naturalistic Health and Mobility Data 4.0 (NMHD 4.0) represents a cutting-edge, privacy-aware, and economical method for observing subject mobility and health data utilizing Industry 4.0 technology. NMHD 4.0 leverages advanced technologies such as edge computing, cloud computing, and artificial intelligence to enhance data collection accuracy, efficiency, and scope in real-world driving scenarios. By employing a smartphone and wearable technology-based app, NMHD 4.0 aims to collect extensive data from a vast number of subjects.

The primary objective of NMHD 4.0 is to revolutionize the collection, processing, and utilization of data on driving behavior, daily activities, health measurements, and environmental factors. This transformation will pave the way for research in transportation safety and leverage mobility and health data to predict the onset of diseases and events.

This workshop aims to bring together a community of researchers and practitioners working on similar data and datasets to brainstorm and accelerate scientific advancements. 

Topics 

• Innovations in naturalistic driving data collection and analysis.

• Integration of activity monitoring and physiological data with driving data.

• Applications of Industry 4.0 technologies in enhancing data collection.

• Privacy and ethical considerations in large-scale data collection.

• Potential impacts on transportation safety and public health research.

Objectives

• Understand driver behaviors in various levels of automation from naturalistic driving data.

• Analyze driving conditions and driver-vehicle performance for safety applications and future mobility solutions.

• Explore driving performance metrics for early diagnosis of health issues. 

• Requirement analysis for future applications in automated-connected driving, traffic management, and infrastructure design for future mobility. 

Program 

Duration: 8:30 AM - 12:30 PM Local Time (Edmonton, Canada)

8:30-9:15           The Role of Naturalistic Driving Studies in modern-day Transportation Safety 

9:15-10:30         MyEye2Wheeler: A Two-Wheeler Indian Driver Real-World Eye-Tracking Dataset

10:30-11:00       Break

11:00-11:45       SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets

11:45-12:30       Naturalistic Health and Mobility Data 4.0

Organizers