MICHELIN Mobility Intelligence’s Post

How can technology make trucks safer for smaller vehicles in the coming years? 👋 🚛 Together for Safer Roads (TSR) has presented findings from its Trucks of the Future (ToF) pilot program, which aims to improve road safety for vulnerable road users (VRUs) in urban areas. After testing the software, it turned out that the system actually works. It detects pedestrians and cyclists well near trucks, which helps avoid accidents. What do you think about such technology? I invite you to discuss! 💬 #Advantech #WeEnable #safety #roads

How can Machine Learning help to optimize the user experience for car rental customers? In a both insightful and humorous guest lecture in the class “Big Data & AI” by Prof. Dr. Eva Anderl Michael J. Trenkwalder and Johannes Jungbluth explained how CHECK24 Vergleichsportal uses Machine Learning to optimize the ranking of car rental offers. Thank you very much for your visit!

HALFSPACE REDEFINES ONE OF THE WORLD'S LARGEST TRANSPORTATION INDUSTRIES WITH AI - and wins the prestigious Edelman Award.   The last few days have been some of the most intense and rewarding in our company’s journey. In July 2023, Halfspace embarked on a challenge to compete for the prestigious INFORMS Edelman Award. Over the past nine months, our team has dedicated itself to excellence, leading up to a rigorous two-day final at the INFORMS Analytics Conference in Orlando.   We entered the competition confident in the strength of our case and the quality of our materials, knowing well that we were up against formidable opponents. The competition was fierce, with outstanding presentations from all, including ALDI SÜD, American Airlines, McDonald's China, Tata Steel, and Transvision B.V. We have immense respect for the effort and innovation shown by all teams.   Following hours of deliberation by the jury, we were honored to receive the 2024 INFORMS Edelman Award. This is a landmark victory – the first for a Danish team, the first for a company of our size, and perhaps the first for a team considered an outsider in this competition.   This achievement is a significant milestone for Halfspace, in partnership with Molslinjen A/S, placing Halfspace at the forefront of global artificial intelligence, excellence and impact.   We are incredibly proud of our team and grateful for the support from our community. This victory will undoubtedly inspire a new perspective on the capabilities of AI.   The passenger ferry industry carries Between 4 and 5 billions passengers per year (similar to the airline industry) and Nearly 400 mill. vehicles (cars, buses, etc.). We are proud to take part in rethinking this entire industry.     #INFORMSEdelmanaward #analytics #datascience #artificialintelligence #teamwork #innovation

If you are interested in understanding how AI can actually impact - watch this!

Introduction to Road Buddy Road Buddy is an innovative AI guide tailored for truckers. It's designed to provide real-time insights, making your journey on the road smoother and more efficient. Features of Road Buddy Customized Navigation and Traffic Updates With Road Buddy, you get access to real-time traffic updates and route optimization, ensuring you always take the best path. Weather

The latest video is up on our YouTube channel, this week I interview Miles Elsden from the Institute of Safe Autonomy. The institute is involved in research on how robots can change the way we work and the impact on society. #cobots #universalrobots #robots #robotics #automation Watch the video here https://lnkd.in/eVRwtAjk

Accelerating Road Safety with Cutting-Edge Tech, Netradyne At the heart of road safety, drivers take the wheel, but let's face it—complex road dynamics often speak a language of their own! That's where our game-changing proactive safety solution steps in, turning intricate data into actionable superpowers for a safer journey. Unveiling the Power of Technology for Positive Safety Improvements! Ever wondered how to decode the road's hidden messages? Our tech wizards have cracked the code, transforming complexity into clarity. What's in the Magic Toolbox? Proactive Insights: No more reactive measures! Netradyne anticipates safety challenges before they unfold, empowering drivers with foresight. Data Wizardry: Complex data? No problem! We sprinkle a bit of magic dust to turn it into understandable, actionable insights. AI Guardian: Meet your roadside AI guardian angel! Our technology is like having a co-pilot that ensures a smoother, safer ride. Join the Safety Revolution! Let's pave the way for a safer tomorrow—where road safety is not just a destination but a thrilling journey! Feel free to drop me a text to learn more about Netradyne #TechForSafety #RoadSafetyRevolution #InnovationMatters #fleet #fleetmanagement #fleetmaxxsolutions #fleetmaintenance #fleettech

Introduction to Road Buddy Road Buddy is an innovative AI guide tailored for truckers. It's designed to provide real-time insights, making your journey on the road smoother and more efficient. Features of Road Buddy Customized Navigation and Traffic Updates With Road Buddy, you get access to real-time traffic updates and route optimization, ensuring you always take the best path. Weather

🚖 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐧𝐠 𝐍𝐘𝐂 𝐓𝐚𝐱𝐢 𝐅𝐚𝐫𝐞𝐬 𝐰𝐢𝐭𝐡 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚖 In the bustling streets of NYC, traditional taxi trips have declined as app-based rides surged from 6M to 17M annually. To stay competitive, the NY Yellow Cab organization embraced a data-driven approach. Here’s a peek into our taxi fare prediction project! 🧐 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Predict taxi fares based on pickup/drop-off locations, timestamps, and passenger count using Linear Regression, Decision Tree, Random Forest model. 🔬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬: 𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐢𝐧𝐠: - Removed records with zero or extreme values. - Filtered data for realistic fare amounts and distances. 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - Converted timestamps from UTC to EST. - Extracted features like hour, day, and distance between pickup and dropoff. - Categorized times of day and identified weekends. 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠: - Explored Linear Regression, Decision Tree, and Random Forest. - Hyperparameter tuning for optimal performance. 📈 𝐑𝐞𝐬𝐮𝐥𝐭𝐬: - Random Forest emerged as the best model with the lowest MAE, MSE, and RMSE. 𝐊𝐞𝐲 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐨𝐫𝐬: - Distance between pickup and drop-off locations. - Number of passengers, time of day, and day of the week. 🌟 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧: Combining robust data cleaning, insightful feature engineering, and meticulous modeling led to accurate fare predictions. 🔗 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐝𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐦𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬! #TaxiFare #NYCTaxi #DataScience #MachineLearning #FarePrediction #RandomForest #LinearRegression #DataCleaning #FeatureEngineering #DataAnalysis #PredictiveModeling

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