We write because we want the knowledge to be recorded!
03.11.2025 02:28
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We write because we want the knowledge to be recorded!
One of the reasons I think quality matters is that when I read those high-quality papers written decades ago, I really learn a lot. You can clearly see the time and effort devoted to every one.
When I see posts claiming 15 or 20 papers for presentation at the TRB Annual Meeting, the peer pressure is undeniable. It's easy to get caught up in the race for quantity.
But it begs the question: At what cost to quality?
We may need tell the world a message: don't dream of RL for real-time signal control (in practice)! Multiple reasons...
Preliminary findings from the field experiments (conducted jointly with and led by JRC colleagues) on commercial L2+ automated vehicles show that their lane-changing behavior is surprisingly consistent.
I highly recommend Prof. Benn Coifman’s talk. When discussing the fundamental relationship in traffic dynamics, let's first check how the data is generated.
youtu.be/4oZM68VEkfE?...
Back in 2015 (as an undergrad), I felt long-horizon traffic planning would not be the priority, we needed fine-grained, high-resolution data and research. Now, 10 years later, enabled by GenAI, we can finally move from coarse minute-level analysis down to the second level.
tinyurl.com/trafficwavex
After two years of effort, this study has now been accepted through peer review. In nowdays era of massive vehicle trajectory data, it is time to revisit how we analyze and understand traffic waves. I created a gallery with hundreds of traffic waves: trafficwaves.github.io.
arxiv.org/abs/2409.00326
I really enjoyed this paper, although I’m an outsider to Transportation Network Modeling. My main takeaway is clear: as more data becomes available, we should advance toward analyzing more complex networks, rather than continuing to benchmark solely on Sioux Falls.
arxiv.org/abs/2508.06234
It's great that we can post dataset and code link in the paper article info now!
I'm always amazed by traffic research history. This is a highway test track at Ohio State University in 1969.
Don't chase for buzzword! First principle matters.
I think all the top journals/conferences can consider limiting the submissions per year.
Transportation is an application-driven field. Follow the first principle and solve the problems. We don't need more problems but we need more problem-solvers.
Our 2nd Trajectory Data Camp at ITSC 2025! This year’s focus is on safety and human factors, and I wish to help drive the Vision Zero moonshot.
All the traffic scientists working on trajectory data should consider visiting this site when stopping by SF.
Legacy NGSIM I-80 is now so real in Google Maps 3D view!!!
I have to say, TRB is where I truly grew as a researcher.
I’ll be at the TRB DATA conference as well! Just to mention, my advisor Dan Work has been my long-time supporter on reproducible research. And we’re actively contributing to open data in traffic science.
Flyer announcing Prof. Cathy Wu from MIT presenting at the TRB Conference on Data and AI for Transportation Advancement. Two sessions are highlighted: one on May 28 about accelerating transportation research transparency practices, and another on May 29 about mitigating metropolitan carbon emissions using dynamic eco-driving.
📣 I will be giving two talks this week at the TRB DATA conference in Seattle, which explores the intersection of transportation, artificial Intelligence, and data analysis. I love these practitioner + researcher conferences. 🤖🧠👇
Flyer announcing a presentation at the Transportation Research Symposium 2025, scheduled for Monday, May 26, 13:15-15:15 in Rotterdam, The Netherlands. Session topic is 'Traffic control in the era of new technologies,' with the presentation titled 'Towards Accelerating Transportation Research: Measuring the State of Transparency Practices.' Multiple authors from various international institutions are listed, including Ruth Lu, an undergraduate researcher at MIT, whose photo is featured prominently. A QR code and the website rerite.org are displayed in the upper right corner. The flyer background is orange with black and white text.
📣 #RERITE 's first conference presentation will take place tomorrow at the Transportation Research Symposium at Rotterdam in The Netherlands! 🚂🛣️
We use Large Language Models (LLMs) to measure the state of data & code availability in transportation research. Join to learn: 👇
Speed depends on size
Balanced by dispersion
Oh, solitary splendor.
In memory of Peter Lax (1926–2025).
I will dedicate myself to advancing the next chapter in the applications of hyperbolic partial differential equations in traffic flow dynamics.
www.nytimes.com/2025/05/16/s...
Interesting! This is my hometown.
You can be sad but please never be discouraged.
At the end of a paper [1] by Newell: Will we better in the next 50 years?
[1] Newell, Gordon F. "Memoirs on highway traffic flow theory in the 1950s." Operations Research 50, no. 1 (2002): 173-178.
🚦Inaugural Steering Committee of #RERITE 🚦
Dr. @cathywu.bsky.social
Dr. Xuesong (Simon) Zhou & Dr. Bidisha Ghosh
Dr. Silvia Francesca Varotto & Dr. Bahman Madadi
Dr. Yanbing Wang
Dr. Michalis Makridis
🌐 www.rerite.org
🔗 lnkd.in/d38VqpdM
#OpenScience #Reproducibility #Transportation
Imaging that we have a perfect, well-calibrated car-following model, what's the best thing you can do with it?