A Demonstration of QARTA: An ML-based System for Accurate Map Services
Summary: Demonstrates QARTA, an open-source ML-driven map service that learns topology and edge weights for accurate routing. Calibrates query answers by modality, algorithm, and temporal context, with real-time deployment in Qatar taxis and a major food-delivery partner. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sofiane Abbar
- 2. Rade Stanojevic
- 3. Mashaal Musleh
- 4. Mohamed ElShrif
- 5. Mohamed Mokbel
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,294 | QARTA: An ML-based System for Accurate Map Services | 2021 | VLDB | 4.5435639e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,129 | On Map-Matching Vehicle Tracking Data | 2005 | VLDB | 0.00013791923 |
| 1,170 | Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation | 2012 | VLDB | 0.00013511856 |
| 1,892 | Querying Shortest Paths on Time Dependent Road Networks | 2019 | VLDB | 0.00010185573 |
| 2,547 | Efficient Shortest Path Index Maintenance on Dynamic Road Networks with Theoretical Guarantees | 2020 | VLDB | 8.5683079e-05 |
| 3,464 | DeepTRANS: A Deep Learning System for Public Bus Travel Time Estimation using Traffic Forecasting | 2020 | VLDB | 7.0696727e-05 |
| 8,294 | QARTA: An ML-based System for Accurate Map Services | 2021 | VLDB | 4.5435639e-05 |
| 8,789 | Machine Learning Meets Big Spatial Data | 2019 | VLDB | 4.4509194e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,159 | A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods | 2024 | VLDB | - |
| 6,910 | Ratel: Interactive Analytics for Large Scale Trajectories | 2019 | SIGMOD | 4.8925595e-05 |
| 4,057 | Noah: A Dynamic Ridesharing System | 2013 | SIGMOD | 6.4872768e-05 |
| 5,729 | KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing | 2015 | VLDB | 5.3506368e-05 |
| 6,095 | QRelX: Generating Meaningful Queries that Provide Cardinality Assurance | 2010 | SIGMOD | 5.2128855e-05 |
| 2,123 | Demonstration of Qurk: A Query Processor for Human Operators | 2011 | SIGMOD | 9.4945521e-05 |
| 12,583 | ITQS: An Integrated Transport Query System | 2004 | SIGMOD | 4.1945683e-05 |
| 13,223 | Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data | 2022 | VLDB | - |
| 11,943 | A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data | 2015 | VLDB | 4.1945683e-05 |
| 8,294 | QARTA: An ML-based System for Accurate Map Services | 2021 | VLDB | 4.5435639e-05 |