NDLI: Moving beyond transportation: utility network management

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Analytical queries on road networks: an experimental evaluation of two system architectures

Incorporating road networks into territory design

Moving beyond transportation: utility network management

Fine-grained population estimation

Eyewitness: identifying local events via space-time signals in twitter feeds

Trajectory inference for mobile devices using connected cell towers

Processing streams of spatial k-NN queries and position updates on manycore GPUs

BACR: set similarities with lower bounds and application to spatial trajectories

Where are the passengers?: a grid-based gaussian mixture model for taxi bookings

Detecting urban black holes based on human mobility data

DeepSat: a learning framework for satellite imagery

Understanding and modelling information dissemination patterns in vehicle-to-vehicle networks

Shortest feasible paths with charging stops for battery electric vehicles

Effective and efficient: large-scale dynamic city express

A framework for multi-criteria optimal location selection

Detecting collective anomalies from multiple spatio-temporal datasets across different domains

semMatch: road semantics-based accurate map matching for challenging positioning data

Privacy-preserving inference of social relationships from location data: a vision paper

Fast computation of categorical richness on raster data sets and related problems

Task matching and scheduling for multiple workers in spatial crowdsourcing

Choosing thresholds for density-based map construction algorithms

Reverse k-nearest neighbour schedules in time-dependent road networks

LiDAR-based pedestrian-flow analysis for crowdedness equalization

Traffic prediction in a bike-sharing system

Understanding hotspots: a topological visual analytics approach

TOSCA: two-steps clustering algorithm for personal locations detection

Inferring semantics from geometry: the case of street networks

Personalized route planning in road networks

Combining range-based and range-free methods: a unified approach for localization

Meet-and-go: finding optimal single connecting points considering companionship preferences

Empirically measuring salience of objects for use in pedestrian navigation

Toponym disambiguation in online social network profiles

An online marketplace for geosocial data

Spatial cohesion queries

Learning functional compositions of urban spaces with crowd-augmented travel survey data

Efficient map reconstruction and augmentation via topological methods

Spatial queries with k-nearest-neighbor and relational predicates

Navigation made personal: inferring driving preferences from GPS traces

Citywide traffic congestion estimation with social media

Evidence of long range dependence and self-similarity in urban traffic systems

Contour trees of uncertain terrains

An arc orienteering algorithm to find the most scenic path on a large-scale road network

Towards distributed convoy pattern mining

VPIndexer: velocity-based partitioning for indexing moving objects

A new approach to geocoding: BingGC

PlanetSense: a real-time streaming and spatio-temporal analytics platform for gathering geo-spatial intelligence from open source data

coMobile: real-time human mobility modeling at urban scale using multi-view learning

Probabilistic estimation of link travel times in dynamic road networks

Clarifying the role of distance in friendships on twitter: discovery of a double power-law relationship

Stochastic location optimization in a dynamic environment

Towards truly ubiquitous indoor localization on a worldwide scale

Design and representation of complex objects in database systems

STAC: spatial task assignment for crowd sensing with cloaked participant locations

Vision paper: the future of scientific terrain visualization

TaxiRec: recommending road clusters to taxi drivers using ranking-based extreme learning machines

Location-based social networking for obtaining personalised driving advice

Future connected vehicles: challenges and opportunities for spatio-temporal computing

Decentralized human trajectories tracking using hodge decomposition in sensor networks

$CO_{2}NNIE:$ personalized fuel consumption and $CO_{2}$ emissions

On map-centric programming environments: vision paper

Spatio-temporal keyword queries for moving objects

Graphast: an extensible framework for building applications on time-dependent networks

Querying historical maps as a unified, structured, and linked spatiotemporal source: vision paper

Optimal time-dependent sequenced route queries in road networks

GeoDa web: enhancing web-based mapping with spatial analytics

Activity recognition of railway passengers by fusion of low-power sensors in mobile phones

A reeb graph approach to tractography

MigrO: a plug-in for the analysis of individual mobility behavior based on the stay region model

A stacked gaussian process for predicting geographical incidence of aflatoxin with quantified uncertainties

Brands in NewsStand: spatio-temporal browsing of business news

Designing an on-line ride-sharing system

LIMO: learning programming using interactive map activities

Land use classification using convolutional neural networks applied to ground-level images

Find the butterfly: a social media based arterial incidents detection and causality analysis system

Hup-me: inferring and reconciling a timeline of user activity from rich smartphone data

Semantic multimedia-enhanced spatio-temporal queries in a crowdsourced environment

A calibration-free RF localization system

A mobile trusted path system based on social network data

Grooming big data from afar

Traffic matrix estimation from road sensor data: a case study

Fast exact shortest path and distance queries on road networks with parametrized costs

TransitTrace: route planning using ambient displays

Alternative routing: k-shortest paths with limited overlap

Fusion of color images and LiDAR data for lane classification

GeoSpark: a cluster computing framework for processing large-scale spatial data

Guide me through somewhere important: decision-point salience and collaborative navigation

Optimal mobile facility localization

An interactive visual analytic tool for semantic classification of 3D urban LiDAR point cloud

3D-viewshed map: a measure of landscape deepness

Presents: probabilistic resource-search networks

There and back again: using fréchet-distance diagrams to find trajectory turning points

Cheap approximate localization using FM radio

Sphinx: distributed execution of interactive SQL queries on big spatial data

Flag-verify-fix: adaptive spatial crowdsourcing leveraging location-based social networks

Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics

Robust and efficient urban scene classification using relative features

Efficient algorithms for answering reverse spatial-keyword nearest neighbor queries

FIFUS: a rule-based fuzzy inference model for fuzzy spatial objects in spatial databases and GIS

Location familiarity based flickr photographer classification for POI mining

Location selection for ambulance stations: a data-driven approach

Moving beyond transportation: utility network management

Content Provider	ACM Digital Library
Author	Kim, Sangho Bakalov, Petko Hoel, Erik Brown, Thomas
Abstract	Transportation networks and associated analytic algorithms have been extensively studied in the research domain, with numerous systems in widespread production. An equally important domain that has not been well addressed by the research community are network models used to support the utility domain (e.g., water, wastewater, stormwater, gas, electric, pipeline, and telecommunications). The utility domain places a very different set of requirements on a network model and the associated analytic operations than are found with transportation networks. Existing models (e.g., transportation or social graph focused) suffer from a number of limitations and constraints that limit the ability of utility companies from most effectively modeling their network connected infrastructure. Although many utilities have succeeded in implementing systems on top of simple graph models, the solutions have often involved either having to author considerable amounts of custom application code to go with the model (a very expensive and cumbersome proposition), or modifying the workflows in order to compensate for the graph model limitations. This paper proposes the creation of a new utility-centric graph information model to directly support the modeling of utility infrastructures. It is focused on supporting additional requirements for improved performance and scalability (through optimized data models), efficiency and productivity (using a model that supports underground, inside-plant, etc.), data quality (rule-based system which prevents bad data from being created), real-time data acquisition (support for field-based telemetry), enhanced visualization capabilities (schematic visualizations of data), and integration across a services-centric platform model (e.g., RESTful services, desktop, mobile, and web-based clients).
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450339674
DOI	10.1145/2820783.2820879
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gis Transportation networks Transaction models Utility networks
Content Type	Text
Resource Type	Article

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