[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-researchers-design-ai-that-customizes-routes-to-what-you-want":10,"sections":40},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":30,"tags":31,"sources":35,"feedback":39,"feedback_at":22,"cost_usd":39,"total_tokens":39},6792,"researchers-design-ai-that-customizes-routes-to-what-you-want","Researchers Design AI That Customizes Routes to What You Want","A new deep learning architecture jointly optimizes route search and ranking, aiming to match rider preferences instead of imitating GPS trip logs.","A new deep learning system tries to figure out the actual best route for a trip, not just the one that resembles what other drivers did.\n\nResearchers propose an architecture that jointly optimizes the cost function used to weigh road segments and the model that picks a final route, built so the whole pipeline is differentiable end to end. It starts by running a multi-objective Dijkstra algorithm offline to compute the full set of Pareto-optimal routes for a trip, treating that set as the complete list of reasonable candidates. A neural network then learns to search and rank within that candidate set, trained with a new loss function that optimizes a single route attribute (like time) while keeping others (like tolls or distance) inside fixed limits. On real-world datasets, the architecture beat existing state-of-the-art methods on both route quality and how well it adapted to different rider preferences.\n\nMost mapping apps today lean on logged driver trajectories to define what counts as a 'good' route, which sounds sensible until you notice the app itself told those drivers where to go: a feedback loop that can quietly canonize past routing mistakes as the standard. Building routes from Pareto-optimal candidates instead of mimicking logs is a more defensible way to claim a route is actually good, not just familiar.\n\nIt is still a research paper, not a shipped feature in Google Maps or Uber, so whether it holds up against live traffic, GPS noise, and real-world compute budgets is a separate test entirely.","[\"ai\",\"navigation\",\"algorithms\",\"research\"]","2026-09-18T04:00:00.000Z","2026-09-18T16:55:05.405Z","2026-09-18T16:55:45.063Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Drop or verify the specific 'posted to arXiv on September 18, 2026' date — the source material doesn't state an exact posting day, so this reads as an invented detail that happens to match today's date.","resolved","ai",[30,32,33,34],"navigation","algorithms","research",[36],{"name":37,"url":38},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19996",0,{"sections":41},[42,45,49,54,59,63,67,72,76,81,86,91,96,101],{"name":43,"slug":30,"count":44,"latest_published_at":18},"AI",4017,{"name":46,"slug":47,"count":48,"latest_published_at":18},"Security","security",653,{"name":50,"slug":51,"count":52,"latest_published_at":53},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":18},"Hardware","hardware",155,{"name":64,"slug":65,"count":66,"latest_published_at":18},"Science","science",121,{"name":68,"slug":69,"count":70,"latest_published_at":71},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":73,"slug":74,"count":75,"latest_published_at":18},"Dev Tools","dev-tools",77,{"name":77,"slug":78,"count":79,"latest_published_at":80},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":82,"slug":83,"count":84,"latest_published_at":85},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":87,"slug":88,"count":89,"latest_published_at":90},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":92,"slug":93,"count":94,"latest_published_at":95},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":97,"slug":98,"count":99,"latest_published_at":100},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":102,"slug":103,"count":104,"latest_published_at":105},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]