Real Time Headway Predictions in Urban Rail Systems and Implications for Service Control: A Deep Learning Approach · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2510.03121/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTReal Time Headway Predictions in Urban Rail Systems and Implications for Service Control: A Deep Learning Approach — mentioned by lazarus01https://news.ycombinator.com/item?id=46487373urn:hackerpapers:mention:2510.03121:46487373Sun, 04 Jan 2026 12:37:52 GMT<p>The project I’m working on emulates a scientific abstract. I’m not a scientist by any means, but am adapting an abstract to the public transit system in NYC. I will publish the project on my website when it’s done. I think it’s a few weeks away. I built the dataset, now doing experimental model training. If I can get acceptable accuracy, I will deploy in a production system and build a UI. Here is a scientific abstract that inspired my to start building this system. -&gt; https://arxiv.org/html/2510.03121 I am unfamiliar with agent based models, sorry I can’t offer any personal insight there…</p><p><a href="https://hackerpaper.kaipfister.de/p/2510.03121/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG