Unified route planning for shared mobility: An insertion-based framework

There has been a dramatic growth of shared mobility applications such as ride-sharing, food delivery, and crowdsourced parcel delivery. Shared mobility refers to transportation services that are shared among users, where a central issue is route planning. Given a set of workers and requests, route p...

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Main Authors: TONG, Yongxin, ZENG, Yuxiang, ZHOU, Zimu, CHEN, Lei, XU, Ke.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7218
https://ink.library.smu.edu.sg/context/sis_research/article/8221/viewcontent/tods21_tong.pdf
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spelling sg-smu-ink.sis_research-82212022-08-11T02:35:14Z Unified route planning for shared mobility: An insertion-based framework TONG, Yongxin ZENG, Yuxiang ZHOU, Zimu CHEN, Lei XU, Ke. There has been a dramatic growth of shared mobility applications such as ride-sharing, food delivery, and crowdsourced parcel delivery. Shared mobility refers to transportation services that are shared among users, where a central issue is route planning. Given a set of workers and requests, route planning finds for each worker a route, i.e., a sequence of locations to pick up and drop off passengers/parcels that arrive from time to time, with different optimization objectives. Previous studies lack practicability due to their conflicted objectives and inefficiency in inserting a new request into a route, a basic operation called insertion. In addition, previous route planning solutions fail to exploit the appearance patterns of future requests hidden in historical data for optimization. In this paper, we present a unified formulation of route planning called URPSM. It has a well-defined parameterized objective function which eliminates the contradicted objectives in previous studies and enables flexible multi-objective route planning for shared mobility. We propose two insertion-based frameworks to solve the URPSM problem. The first is built upon the plain-insertion widely used in prior studies, which processes online requests only, whereas the second relies on a new insertion operator called prophet-insertion that handles both online and predicted requests. Novel dynamic programming algorithms are designed to accelerate both insertions to only linear time. Theoretical analysis shows that no online algorithm can have a constant competitive ratio for the URPSM problem under the competitive analysis model, yet our prophet-insertion-based framework can achieve a constant optimality ratio under the instance-optimality model. Extensive experimental results on real datasets show that our insertion-based solutions outperform the state-of-the-art algorithms in both effectiveness and efficiency by a large margin (e.g., up to 30× more effective in the objective and up to 20× faster). 2022-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7218 info:doi/10.1145/3488723 https://ink.library.smu.edu.sg/context/sis_research/article/8221/viewcontent/tods21_tong.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Route planning Ride-sharing Insertion Dynamic programming Databases and Information Systems Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Route planning
Ride-sharing
Insertion
Dynamic programming
Databases and Information Systems
Software Engineering
spellingShingle Route planning
Ride-sharing
Insertion
Dynamic programming
Databases and Information Systems
Software Engineering
TONG, Yongxin
ZENG, Yuxiang
ZHOU, Zimu
CHEN, Lei
XU, Ke.
Unified route planning for shared mobility: An insertion-based framework
description There has been a dramatic growth of shared mobility applications such as ride-sharing, food delivery, and crowdsourced parcel delivery. Shared mobility refers to transportation services that are shared among users, where a central issue is route planning. Given a set of workers and requests, route planning finds for each worker a route, i.e., a sequence of locations to pick up and drop off passengers/parcels that arrive from time to time, with different optimization objectives. Previous studies lack practicability due to their conflicted objectives and inefficiency in inserting a new request into a route, a basic operation called insertion. In addition, previous route planning solutions fail to exploit the appearance patterns of future requests hidden in historical data for optimization. In this paper, we present a unified formulation of route planning called URPSM. It has a well-defined parameterized objective function which eliminates the contradicted objectives in previous studies and enables flexible multi-objective route planning for shared mobility. We propose two insertion-based frameworks to solve the URPSM problem. The first is built upon the plain-insertion widely used in prior studies, which processes online requests only, whereas the second relies on a new insertion operator called prophet-insertion that handles both online and predicted requests. Novel dynamic programming algorithms are designed to accelerate both insertions to only linear time. Theoretical analysis shows that no online algorithm can have a constant competitive ratio for the URPSM problem under the competitive analysis model, yet our prophet-insertion-based framework can achieve a constant optimality ratio under the instance-optimality model. Extensive experimental results on real datasets show that our insertion-based solutions outperform the state-of-the-art algorithms in both effectiveness and efficiency by a large margin (e.g., up to 30× more effective in the objective and up to 20× faster).
format text
author TONG, Yongxin
ZENG, Yuxiang
ZHOU, Zimu
CHEN, Lei
XU, Ke.
author_facet TONG, Yongxin
ZENG, Yuxiang
ZHOU, Zimu
CHEN, Lei
XU, Ke.
author_sort TONG, Yongxin
title Unified route planning for shared mobility: An insertion-based framework
title_short Unified route planning for shared mobility: An insertion-based framework
title_full Unified route planning for shared mobility: An insertion-based framework
title_fullStr Unified route planning for shared mobility: An insertion-based framework
title_full_unstemmed Unified route planning for shared mobility: An insertion-based framework
title_sort unified route planning for shared mobility: an insertion-based framework
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/sis_research/7218
https://ink.library.smu.edu.sg/context/sis_research/article/8221/viewcontent/tods21_tong.pdf
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