Advancing Sustainable and Intelligent Mobility: Integrating Machine Learning, Alternative Fuels and Innovative Technologies

The rapid evolution of mobility technology continues to shape the future of transportation, and this issue of the ARAI Journal of Mobility Technology highlights some of the most innovative research and developments in the automotive field. From machine learning applications to alternative fuels, the studies presented here reflect the diverse and dynamic nature of modern mobility challenges and solutions. One of the key areas explored is the use of machine learning to improve vehicle design and performance. The study on "Two-Wheeler Main Stand Effort" demonstrates how predictive models can help reduce physical effort, enhancing user convenience and safety. Similarly, the research on "EV Energy Optimization through Q-Learning and Heat Management" showcases how data-driven approaches can optimize electric vehicle performance, a crucial step toward more efficient and sustainable transportation. Advanced Driver Assistance Systems (ADAS) are another focus, with the article on "Simulated Intelligence for ADAS Testing" introducing innovative methods for generating realistic test scenarios. This work is vital for ensuring the safety and reliability of autonomous and semi-autonomous vehicles on our roads. The journal also addresses critical components of vehicle durability and maintenance. For example, the "Telematics Data Driven Analysis of Wheel Bearing Failures" provides valuable insights into predictive maintenance, while the "Durability Enhancement of De-Aeration Tank" contributes to improving vehicle system longevity. Alternative fuels remain a central theme in the quest for cleaner mobility. The study titled "Effect of Excess Air Ratio and Engine Speed on Performance and Emissions of High Speed PFI Engine Fuelled with Different Fuels (Hydrogen and Gasoline)" highlights the potential of hydrogen as a sustainable fuel option. This aligns with global efforts to reduce greenhouse gas emissions and dependence on fossil fuels. Additionally, the research on "Fatigue Evaluation of Electric Powertrain from ADT Using Python GUI" supports the advancement of electric vehicles, which often rely on alternative energy sources. Other notable contributions include the "Quantification of Side-Visibility in Passenger Car Transportation," which uses mathematical and statistical analysis to improve vehicle design for better safety, and the "Experimental Analysis of Ranging Performance of an Automotive UWB Module," which enhances vehicle communication technologies. Finally, the "Markov Chain-Based Approach for Drive Cycle Generation in Electric Motorcycles" offers a novel method to simulate real-world driving conditions, aiding in the development of more efficient electric two-wheelers. Together, these studies underscore the importance of integrating advanced technologies, data analytics, and alternative fuels to create a sustainable, safe, and efficient mobility ecosystem. We hope this issue inspires further research and innovation in the exciting field of mobility technology. The ARAI Journal of Mobility Technology helps people in the automotive field stay informed about the newest technologies and ideas. If you have any suggestions or need help, you can write to journal.pub@araiindia.com