research-article

Urban navigation beyond shortest route

Authors:

Esther Galbrun,

Konstantinos Pelechrinis, and

Evimaria TerziAuthors Info & Claims

Information Systems, Volume 57, Issue C

Pages 160 - 171

https://doi.org/10.1016/j.is.2015.10.005

Published: 01 April 2016 Publication History

Abstract

Advancements in mobile technology and computing have fostered the collection of a large number of civic datasets that capture the pulse of urban life. Furthermore, the open government and data initiative has led many local authorities to make these datasets publicly available, hoping to drive innovation that will further improve the quality of life for the city-dwellers. In this paper, we develop a novel application that utilizes crime data to provide safe urban navigation. Specifically, using crime data from Chicago and Philadelphia we develop a risk model for their street urban network, which allows us to estimate the relative probability of a crime on any road segment. Given such model we define two variants of the SafePaths problem where the goal is to find a short and low-risk path between a source and a destination location. Since both the length and the risk of the path are equally important but cannot be combined into a single objective, we approach the urban-navigation problem as a biobjective shortest path problem. Our algorithms aim to output a small set of paths that provide tradeoffs between distance and safety. Our experiments demonstrate the efficacy of our algorithms and their practical applicability.

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Cited By

Zhang MBandara A(2024)Understanding Pedestrians’ Perception of Safety and Safe Mobility PracticesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642896(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642896
Makhdomi AGillani I(2023)Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation TechniquesACM Transactions on Intelligent Systems and Technology10.1145/362782515:1(1-57)Online publication date: 19-Dec-2023
https://dl.acm.org/doi/10.1145/3627825
Williams TCooper EDew K(2023)From Point A to Point B: Identity-Informed Safety in Navigation TechnologyExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585776(1-9)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585776
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cover image Information Systems

Information Systems Volume 57, Issue C

April 2016

241 pages

ISSN:0306-4379

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 April 2016

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Cited By

Zhang MBandara A(2024)Understanding Pedestrians’ Perception of Safety and Safe Mobility PracticesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642896(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642896
Makhdomi AGillani I(2023)Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation TechniquesACM Transactions on Intelligent Systems and Technology10.1145/362782515:1(1-57)Online publication date: 19-Dec-2023
https://dl.acm.org/doi/10.1145/3627825
Williams TCooper EDew K(2023)From Point A to Point B: Identity-Informed Safety in Navigation TechnologyExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585776(1-9)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585776
Islam FHashem TShahriyar R(2023)A Crowd-Enabled Approach for Privacy-Enhanced and Personalized Safe Route Planning for Fixed or Flexible DestinationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.323470335:11(10922-10936)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TKDE.2023.3234703
Biswas PHashem TCheema M(2023)Safest Nearby Neighbor Queries in Road NetworksIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.326240324:7(7270-7284)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3262403
Karatzoglou A(2022)Applying network kernel density estimation (NKDE) and temporal network kernel estimation (TNKDE) for generating safer routesProceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science10.1145/3557991.3567782(1-10)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1145/3557991.3567782
Muthugama LXie HTanin EKarunasekera SGunarathna URenz MSarwat M(2022)Concurrent optimization of safety and traffic flow using deep reinforcement learning for autonomous intersection managementProceedings of the 30th International Conference on Advances in Geographic Information Systems10.1145/3557915.3561018(1-12)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1145/3557915.3561018
Bhumika Das D(2022)MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-TransformerProceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3546787(360-368)Online publication date: 12-Sep-2022
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Chen CGao LXie XWang Z(2022)Enjoy the most beautiful scene now: a memetic algorithm to solve two-fold time-dependent arc orienteering problemFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-019-8364-114:2(364-377)Online publication date: 11-Mar-2022
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Muthugama LXie HTanin EKarunasekera S(2022)Real-time road safety optimization through network-level data managementGeoinformatica10.1007/s10707-022-00473-227:3(491-523)Online publication date: 22-Aug-2022
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