research-article

PaRE: A System for Personalized Route Guidance

Authors:

Ugur Demiryurek,

Cyrus ShahabiAuthors Info & Claims

WWW '17: Proceedings of the 26th International Conference on World Wide Web

Pages 637 - 646

https://doi.org/10.1145/3038912.3052717

Published: 03 April 2017 Publication History

Abstract

The turn-by-turn directions provided in existing navigation applications are exclusively derived from underlying road network topology information, i.e., the connectivity of edges to each other. Therefore, the turn-by-turn directions are simplified as metric translation of physical world (e.g. distance/time to turn) to spoken language. Such translation - that ignores human cognition of the geographic space - is often verbose and redundant for the drivers who have knowledge about the geographical areas. In this paper, we study a Personalized RoutE Guidance System dubbed PaRE - with which the goal is to generate more customized and intuitive directions based on user generated content. PaRE utilizes a wealth of user generated historical trajectory data to extract namely "landmarks" (e.g., point of interests or intersections) and frequently visited routes between them from the road network. The extracted information is used to obtain cognitive customized directions for each user. We formalize this task as a problem of finding the optimal partition for a given route that maximizes the familiarity while minimizing the number of segments in the partition, and propose two efficient algorithms to solve it. For empirical study, we apply our solution to both real and synthetic trajectory datasets to evaluate the performance and effectiveness of PaRE.

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Cited By

He SShin K(2022)Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand CoordinationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.299256534:3(1446-1461)Online publication date: 1-Mar-2022
https://doi.org/10.1109/TKDE.2020.2992565
Zhang KZhao DFeng LCao L(2021)Cycling Trajectory-Based Navigation Independent of Road Network Data SupportISPRS International Journal of Geo-Information10.3390/ijgi1006039810:6(398)Online publication date: 9-Jun-2021
https://doi.org/10.3390/ijgi10060398
Chan TLi ZU LXu JCheng R(2021)Fast augmentation algorithms for network kernel density visualizationProceedings of the VLDB Endowment10.14778/3461535.346154014:9(1503-1516)Online publication date: 1-May-2021
https://dl.acm.org/doi/10.14778/3461535.3461540
Show More Cited By

Index Terms

PaRE: A System for Personalized Route Guidance
1. Information systems

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cover image ACM Other conferences

WWW '17: Proceedings of the 26th International Conference on World Wide Web

April 2017

1678 pages

ISBN:9781450349130

General Chairs:
Rick Barrett
W3Events
,
Rick Cummings
Murdoch University
,
Program Chairs:
Eugene Agichtein
Emory University
,
Evgeniy Gabrilovich
Google Research

Copyright © 2017 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 03 April 2017

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Funding Sources

National Natural Science Foundation of China
USC Integrated Media Systems Center
UESTC
METRANS Transportation Center

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WWW '17

Sponsor:

IW3C2

WWW '17: 26th International World Wide Web Conference

April 3 - 7, 2017

Perth, Australia

Acceptance Rates

WWW '17 Paper Acceptance Rate 164 of 966 submissions, 17%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Citations

Cited By

He SShin K(2022)Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand CoordinationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.299256534:3(1446-1461)Online publication date: 1-Mar-2022
https://doi.org/10.1109/TKDE.2020.2992565
Zhang KZhao DFeng LCao L(2021)Cycling Trajectory-Based Navigation Independent of Road Network Data SupportISPRS International Journal of Geo-Information10.3390/ijgi1006039810:6(398)Online publication date: 9-Jun-2021
https://doi.org/10.3390/ijgi10060398
Chan TLi ZU LXu JCheng R(2021)Fast augmentation algorithms for network kernel density visualizationProceedings of the VLDB Endowment10.14778/3461535.346154014:9(1503-1516)Online publication date: 1-May-2021
https://dl.acm.org/doi/10.14778/3461535.3461540
Tavakoli ABoukhechba MHeydarian A(2021)Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven ApproachExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451693(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451693
Al-Rahamneh AAstrain JVilladangos JKlaina HGuembe ILopez-Iturri PFalcone F(2021)Enabling Customizable Services for Multimodal Smart Mobility With City-PlatformsIEEE Access10.1109/ACCESS.2021.30654129(41628-41646)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3065412
Sarker AShen HKowsari K(2020)A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS50613.2020.00023(103-111)Online publication date: Dec-2020
https://doi.org/10.1109/MASS50613.2020.00023
Naghizade EChan JTomko M(2020)From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversityInternational Journal of Geographical Information Science10.1080/13658816.2020.173084934:10(2004-2029)Online publication date: 9-Mar-2020
https://doi.org/10.1080/13658816.2020.1730849
Luo SZou FCai QGuo FXu WLi Y(2020)A Novel Measure for Trajectory SimilarityGenetic and Evolutionary Computing10.1007/978-981-15-3308-2_17(143-150)Online publication date: 13-Mar-2020
https://doi.org/10.1007/978-981-15-3308-2_17
Nguyen TWeidlich MYin HZheng BNguyen QStantic B(2019)User guidance for efficient fact checkingProceedings of the VLDB Endowment10.14778/3324301.332430312:8(850-863)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.14778/3324301.3324303
Su HCong GChen WZheng BZheng KZhu WTao DCheng XCui PRundensteiner ECarmel DHe QXu Yu J(2019)Personalized Route Description Based On Historical TrajectoriesProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357877(79-88)Online publication date: 3-Nov-2019
https://dl.acm.org/doi/10.1145/3357384.3357877
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