Metropolitan Transportation Authority’s Post

The most detailed view of NYC traffic (so far): https://lnkd.in/ghxANygY Today we are releasing on Open Data (https://lnkd.in/gW6bnvsF) a dataset that I am so excited about. When the MTA launched Congestion Pricing on January 5th, and turned on the tolling equipment, the city began understanding vehicle traffic in a new way. This dataset allows to public to see with their own eyes, with their own data, the way this program is reshaping our shared streets. In this dataset you can track the number of vehicles entering the Congestion Relief Zone (CRZ), by vehicle type, by entry point, every 10 minutes. In this blog post from the MTA Data Team, you can see what we've observed during these first few weeks, and folks can look forward to this dataset updating every week as this program continues to unfold. Speaking personally, I think it is fairly unprecedented for data this detailed to be placed in the hands of the public, so quickly, after the launch of a program this big. I'm very excited for this to be out, and feel lucky to get to work with such an amazing team across the MTA who come together each day to make this happen.

Traffic density analysis! Analysis the traffic density in zones Ultralytics..

How do you know when to 'stop'? On the roads, we rely on common definitions of traffic lights and rules. If a red-light means 'stop' to some and 'go’ to others, we would have accidents at every intersection. In data management, common definitions are the traffic lights that prevent misunderstandings and collisions in decision-making. It's about making sure that all stakeholders involved, whether they are from different departments or teams, are on the same page and can work together effectively by having a shared understanding of key terms and concepts. Find out how you can define common definitions and visit our website today! #CommonDefinitions #BestPractice

This week, we’re spotlighting Alina Mulenkova's standout project, Heavy Traffic Indicators on I-94. Alina dives into the key factors behind traffic congestion on this U.S. interstate, delivering a clear, well-structured analysis. Her thorough research and insightful breakdowns make it a must-see example of data storytelling in action. https://bit.ly/3U9zfes

It's been 3 weeks since Congestion Relief Zone tolling went into effect, and the program is working! We're seeing traffic move quicker into and within Manhattan, which benefits all New Yorkers—drivers, bus riders, emergency vehicle operators, pedestrians, and more. On the NYS Open Data portal, we’ve started releasing the most detailed view of traffic collected (so far) in NYC. This allows anyone to explore and see how this program is reshaping our shared streets. In our latest Data & Analytics blog post, our teams explain where this data comes from, how it can be analyzed, and more: https://lnkd.in/ew_eZhmB

Just completed an Excel project analyzing 282,191 rows of NYC bus data (2019-2023) for the Department of Transportation. The goal was to identify the most common causes of delays and breakdowns, see how they vary by bus company and borough, and explore any patterns by day of the week. Cleaned and processed the data, created pivot tables and charts, and uncovered key insights to help improve the city's transportation efficiency. 🚍📊 Link: https://lnkd.in/eZrSaH9f #Excel #DataAnalysis #Transportation

Which states share their crash data publicly? View the map here: https://lnkd.in/ewN8FuJq Download the data here: https://lnkd.in/eqJZbbDT #opensource #opendata #safety #crashes #visionzero #transportation

Are You Getting the Most Out of Your City's Data? Join our live webinar, "Analytics in Action for Proactive Solutions," to learn how to unlock the full potential of your city's data. From traffic management to public spaces, we'll show you how analytics can drive better decision-making and improved outcomes. Register now!

🚦 Excited to share our latest blog post on "Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity." Our paper introduces advanced data augmentation techniques to tackle critical challenges in traffic sign recognition, essential for road safety. Check out the full article here: https://bit.ly/3Vtc67I #TrafficSignRecognition #DataAugmentation #ComputerVision #RoadSafety

**Great initiative to facilitate multimodal mobility for residents and visitors to inner-city conurbations. 👍** This vision perfectly aligns with the new SimParQ "spot paradigm": SimParQ, as a startup, has developed the first CPMS (Car Park Management System) capable of managing individual parking spaces using license plate recognition directly at the parking lot! This eliminates the need for traditional entry/exit hardware and software in parking systems. Free-flow entry and exit become the new standard. 🚗💨 Parking areas in densely populated urban districts that were previously inaccessible to the public for technical and economic reasons can now be used by everyone. 🙌 For urban hub strategies in parking (multi-modal use...), the cameras will be AI-enabled to analyze different use cases. This allows for automatic multi-tariffing possibilities for each parking space within an area, enabling differentiated pricing per use, per space, and more! 💡📊 User interaction and communication are handled instantly via smartphone chatbots based on popular messaging platforms like WhatsApp, Telegram, and others, eliminating the need for app downloads. The need for prior user registration is removed. However, loyalty programs are still supported as an integrated option through this technology. Parking is now at the customer’s fingertips—just by smartphone, with no need to touch unhygienic pay machine displays for license plate entry. 📱💬 All use cases, of course, are fully GDPR compliant. ✅ Wi-Fi coverage ensures smartphone use even in underground garages! 📶🚗 CAPEX and OPEX are a fraction of the costs associated with traditional CPMS setups that require cameras at entry and exit points. 💰📉