Scaling Real-Time Traffic Forecasting with a Graph-Aware Transformer
Uber has developed a new real-time traffic forecasting system called DeepETT, which enhances arrival time accuracy and overall traffic predictions. This system processes vast amounts of GPS data to provide real-time estimates for road segments, significantly improving the user experience. The improvements are expected to generate an additional $100 million in annual revenue for the company.
- ▪DeepETT improves long-trip arrival time accuracy by 6%.
- ▪The system processes upwards of 2 million real-time forecasts per second.
- ▪Uber's traffic forecasting system uses GPS data from drivers to predict road conditions.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Uber |
| Canonical URL | https://www.uber.com/us/en/blog/scaling-real-time-traffic/ |
| Publication time | Wed, 20 May 2026 16:53:39 +0000 |
| Retrieval time | 2026-05-20T17:05:02.733Z |
| Last seen | 2026-05-20T17:05:02.733Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | ojmGPvXhf4zK |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Uber BlogExploreProductsAdvertisingLearn more about advertising on Uber. Reach consumers as they go anywhere and get anything.EarnResources for driving and delivering with UberRideExperiences and information for people on the moveEatOrdering meals for delivery is just the beginning with Uber EatsMerchantsPutting stores within reach of a world of customersBusinessTransforming the way companies move and feed their peopleHealthMoving care forward together with medical providersHigher EducationEnhancing campus transportationTransitExpanding the reach of public transportationCompanyEngineeringThe technology behind Uber EngineeringCommunity supportDoing the right thing for cities and communities globallyNewsroomUber news and updates in your countryUber.comProduct, how-to, and policy content—and…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Uber.
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