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Open AccessProceedings ArticleDOI

Trajectory based optimal segment computation in road network databases

TLDR
In this article, the authors propose a practical framework for computing this query, where each route traversal is assigned a score that is distributed among the road segments covered by the route according to a score distribution model.
Abstract
Finding a location for a new facility s.t. the facility attracts the maximal number of customers is a challenging problem. Existing studies either model customers as static sites and thus do not consider customer movement, or they focus on theoretical aspects and do not provide solutions that are shown empirically to be scalable. Given a road network, a set of existing facilities, and a collection of customer route traversals, an optimal segment query returns the optimal road network segment(s) for a new facility. We propose a practical framework for computing this query, where each route traversal is assigned a score that is distributed among the road segments covered by the route according to a score distribution model. We propose two algorithms that adopt different approaches to computing the query. Empirical studies with real data sets demonstrate that the algorithms are capable of offering high performance in realistic settings.

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Citations
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Journal ArticleDOI

Targeted Advertising in Public Transportation Systems with Quantitative Evaluation

TL;DR: A probabilistic data model is proposed that captures the motion patterns and user interests so as to quantitatively evaluate the impact of an advertisement among the passengers and solves the retrieval problem efficiently to support real-time decision making.
Proceedings ArticleDOI

NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services

TL;DR: An indexing framework called NETCLUS is developed that derives its power through an unique combination of FM sketches with network clustering that requires less than 100 s to answer the TOPS query on real datasets comprising of more than 250,000 sites and 120,000 trajectories.
Journal ArticleDOI

TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services

TL;DR: This work introduces the problem of optimal placement of facility locations for trajectory-aware services that minimize the user inconvenience, shows that both these problems are NP-hard, and proposes multiple efficient heuristics to solve them.
Proceedings ArticleDOI

NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services

TL;DR: An efficient indexing framework called NetClus is designed based on network clustering and FM sketches that provides theoretical quality guarantees and bounded computational times and is tested on real urban-scale datasets.
Posted Content

TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services.

TL;DR: In this article, the authors introduce the problem of optimal placement of facility locations for such trajectory-aware services that minimize the user inconvenience, where the inconvenience of a user is the extra distance traveled by her from her regular path to avail a service.
References
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Book ChapterDOI

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Journal ArticleDOI

A modeling framework for facility location of medical services for large-scale emergencies

TL;DR: In this paper, the characteristics of large-scale emergencies and proposed a general facility location model that is suited for large scale emergencies, such as house fires and regular health care needs.
Book

Facility Location: Concepts, Models, Algorithms and Case Studies

TL;DR: In this article, the authors present an overview of complexity theory for location models and location problems, including single facility location problem, multi-criteria location problem and location allocation problem.
Proceedings ArticleDOI

Online facility location

TL;DR: This work considers the online variant of facility location, in which demand points arrive one at a time and the operator must maintain a set of facilities to service these points, and provides a randomized online O(1)-competitive algorithm in the case where points arrive in random order.
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