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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
| Date | Stars |
|---|---|
| 2026-07-31 | 282 |
| 2026-08-01 | 282 |
| 2026-08-06 | 282 |
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# Awesome-Mobility-Machine-Learning-Contents [](https://hits.seeyoufarm.com) - Machine Learning / Deep Learning Contents in Mobility Industry(Transportation) - I collected it for the purpose of studying - I selected paper with at least 10 citations or latest paper - Made by [Seongyun Byeon](https://github.com/zzsza) working at SOCAR(Korea Car Sharing Company) - Last modified date : 21.02.13 --- ## Contents - [Mobility Company List](#mobility-company-list) - [Tech Blog](#tech-blog) - [Presentation](#presentation) - [Data](#data) - [Map Matching](#map-matching) - [Route Planning](#route-planning) - [ETA](#eta) - [Traffic Estimation and Forecasting](#traffic-estimation-and-forecasting) - [Dispatching](#dispatching) - [Surge Pricing(Dynamic Pricing)](#surge-pricing) - [Rebalancing Problem](#rebalancing-problem) - [Graph](#graph) - [Supply and Demand Forecasting](#supply-and-demand-forecasting) - [Electric Vehicle](#electric-vehicle) - [Platform](#platform) - [Scheduling Optimization](#scheduling-optimization) - [Autonomous Vehicle](#autonomous-vehicle) - [Bike Sharing](#bike-sharing) - [Challenges](#challenges) --- ### Mobility Company List - Aotonomous Vehicle and Mobility Acquisition/Investment/Teams-Up Network - Doowon Cha <img src="https://www.dropbox.com/s/i4ms8nm4r9ld2v1/%EC%8A%A4%ED%81%AC%EB%A6%B0%EC%83%B7%202019-05-06%2013.11.26.png?raw=1"> - A Map of Mobility Service in Korea - Doowon Cha <img src="https://www.dropbox.com/s/7ytmi5mtz7qicra/%EC%8A%A4%ED%81%AC%EB%A6%B0%EC%83%B7%202019-05-06%2013.12.46.png?raw=1"> - Landscape of Mobility Industry - Korean Autonomous Vehicle Industry <img src="https://www.dropbox.com/s/4tohfrlrj0xn2b4/%EC%8A%A4%ED%81%AC%EB%A6%B0%EC%83%B7%202019-05-06%2023.11.26.jpg?raw=1"> --- ### Tech Blog - [Uber Engineering Blog](https://eng.uber.com/) - [Lyft Engineering Blog](https://eng.lyft.com/) - [Grab Tech](https://engineering.grab.com/) - [GO-JEK Tech](https://blog.gojekengineering.com/data-science/home) - [Kakao Brain(Only Korea)](https://www.kakaobrain.com/blog) - [VCNC Tech Blog(Only Korea)](http://engineering.vcnc.co.kr/) --- ### Presentation - DiDi : [Deep Reinforcement Learning with Applications in Transportation](https://outreach.didichuxing.com/tutorial/AAAI2019/) - DiDi : [Artificial Intelligence in Transportation](https://outreach.didichuxing.com/tutorial/kdd2018/static/AI%20in%20Transportation_KDD2018_Tutorial_final.pdf) --- ### Data - **Awesome Public Datasets(Transportation)**, [[Github]](https://github.com/awesomedata/awesome-public-datasets#transportation) - **Google Dataset Search**, [[Car Sharing]](https://toolbox.google.com/datasetsearch/search?query=car%20sharing&docid=vJVsk6p67mOi%2FLmCAAAAAA%3D%3D), [[Ride Hailing]](https://toolbox.google.com/datasetsearch/search?query=ride%20hailing&docid=3fmM4%2BhTQ7ZKZ3ozAAAAAA%3D%3D) - Highway Tollgates Traffic Flow Prediction(KDD Cup 2017), [[URL]](https://tianchi.aliyun.com/competition/entrance/231597/information) - Uber Movement(Uber), [[URL]](https://movement.uber.com/?lang=en-US) - NYC Taxi DATA(NYC), [[URL]](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page) - Next Generation Simulation(Federal Highway Administration), [[URL]](https://ops.fhwa.dot.gov/trafficanalysistools/ngsim.htm) - GAIA Open Dataset(DiDi Chuxing) : Trajectory Data, [[URL]](https://outreach.didichuxing.com/research/opendata/en/) - BSS Dataset(Consumer Data Research Centre), [[URL]](https://data.cdrc.ac.uk/dataset?tags=BSS) - [Awesome Transportation Network Data](https://github.com/chkwon/awesome-transportation-network-data) --- ### Map Matching - Some map matching algorithms for personal navigation assistants(2000), Christopher E. White. [[pdf]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.420.2506&rep=rep1&type=pdf) - On map-matching vehicle tracking data(2005), Sotiris Braka
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d6d0a9ba18cf3291, llm:description: 'Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)'; repo name 'Awesome-Mobility-Machine-Learning-Contents' (curated list / awesome list)
matched fp:d6d0a9ba18cf3291, llm:description: 'Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)'; repo name 'Awesome-Mobility-Machine-Learning-Contents' (curated list / awesome list)
matched fp:d6d0a9ba18cf3291, llm:description: 'Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)'; repo name 'Awesome-Mobility-Machine-Learning-Contents' (curated list / awesome list)
matched fp:d6d0a9ba18cf3291, llm:description: 'Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)'; repo name 'Awesome-Mobility-Machine-Learning-Contents' (curated list / awesome list)