Galbrun, Esther and Pelechrinis, Konstantinos and Terzi, Evimaria
(2015)
Safe Navigation in Urban Environments.
In: ACM SIGKDD Workshop on Urban Informatics.
(Unpublished)
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 pub- licly 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 nav- igation. Specifically, using crime data from Chicago and Philadel- phia 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 locations. 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 dis- tance and safety. Our experiments demonstrate the efficacy of our algorithms and their practical applicability.
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Details
Item Type: |
Conference or Workshop Item
(Paper)
|
Status: |
Unpublished |
Creators/Authors: |
|
Date: |
August 2015 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Event Title: |
ACM SIGKDD Workshop on Urban Informatics |
Event Type: |
Conference |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Telecommunications |
Refereed: |
Yes |
Date Deposited: |
19 Jun 2015 14:47 |
Last Modified: |
25 Jul 2022 20:26 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/25439 |
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