Efficient kNN Search with Occupation in Large-Scale On-demand Ride-Hailing-Reference-Cited by-同舟云学术

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Efficient kNN Search with Occupation in Large-Scale On-demand Ride-Hailing

Published:2020 Issue: Volume: Page:29-41
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Li Mengqi,He Dan,Zhou Xiaofang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-39469-1_3

Reference21 articles.

1. https://news.thomasnet.com/fullstory/gps-receiver-provides-20-hz-update-rate-587490

2. https://opendata.cityofnewyork.us/

3. Didichuxing. https://gaia.didichuxing.com/

4. Uber. https://www.uber.com/

5. Bast, H., Funke, S., Matijević, D.: Transit: ultrafast shortest-path queries with linear-time preprocessing. In: 9th DIMACS Implementation Challenge-Shortest Path (2006)

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1. Identifying and recommending taxi hotspots in spatio-temporal space;GeoInformatica;2024-05-25

2. Efficient Optimal Pick-up and Drop-off Point Recommendation for Ride-hailing Services;2023 IEEE International Conference on Web Services (ICWS);2023-07

3. Enhancing Taxi Placement in Urban Areas Using Dominating Set Algorithm with Node and Edge Weights;Information Integration and Web Intelligence;2023

4. Efficient kNN query for moving objects on time-dependent road networks;The VLDB Journal;2022-07-27

5. Predicting Taxi Hotspots in Dynamic Conditions Using Graph Neural Network;Lecture Notes in Computer Science;2022

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