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ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers and Special Issue: Urban Intelligence, Volume 9 Issue 3, February 2018

Section: Regular Paper

Real-Time Human Mobility Modeling with Multi-View Learning
Desheng Zhang, Tian He, Fan Zhang
Article No.: 22
DOI: 10.1145/3092692

Real-time human mobility modeling is essential to various urban applications. To model such human mobility, numerous data-driven techniques have been proposed. However, existing techniques are mostly driven by data from a single view, for example,...

Section: Special Issue: Urban Intelligence

ACM TIST Special Issue on Urban Intelligence
Bo An, Nick Jennings, Zhenhui Jessie Li
Article No.: 23
DOI: 10.1145/3154942

Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments
Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau, William Yeoh
Article No.: 24
DOI: 10.1145/3080575

Orienteering Problems (OPs) are used to model many routing and trip planning problems. OPs are a variant of the well-known traveling salesman problem where the goal is to compute the highest reward path that includes a subset of vertices and has...

A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time
Zhiguang Cao, Hongliang Guo, Jie Zhang
Article No.: 25
DOI: 10.1145/3078847

Arriving on time and total travel time are two important properties for vehicle routing. Existing route guidance approaches always consider them independently, because they may conflict with each other. In this article, we develop a...

Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement
Shih-Fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh
Article No.: 26
DOI: 10.1145/3078842

In this article, we investigate effective ways of utilizing crowdworkers in providing various urban services. The task recommendation platform that we design can match tasks to crowdworkers based on workers’ historical trajectories and...

Simulating Urban Pedestrian Crowds of Different Cultures
Gal A. Kaminka, Natalie Fridman
Article No.: 27
DOI: 10.1145/3102302

Models of crowd dynamics are critically important for urban planning and management. They support analysis, facilitate qualitative and quantitative predictions, and synthesize behaviors for simulations. One promising approach to crowd modeling...

A Comfort-Based Approach to Smart Heating and Air Conditioning
Frederik Auffenberg, Stephen Snow, Sebastian Stein, Alex Rogers
Article No.: 28
DOI: 10.1145/3057730

In this article, we address the interrelated challenges of predicting user comfort and using this to reduce energy consumption in smart heating, ventilation, and air conditioning (HVAC) systems. At present, such systems use simple models of user...

Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model
Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li
Article No.: 29
DOI: 10.1145/3078849

What is the purpose of a trip? What are the unique human mobility patterns and spatial contexts in or near the pickup points and delivery points of trajectories for a specific trip purpose? Many prior studies have modeled human mobility patterns...

Personalized Air Travel Prediction: A Multi-factor Perspective
Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
Article No.: 30
DOI: 10.1145/3078845

Human mobility analysis is one of the most important research problems in the field of urban computing. Existing research mainly focuses on the intra-city ground travel behavior modeling, while the inter-city air travel behavior modeling has been...

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Article No.: 31
DOI: 10.1145/3106774

Human mobility data are an important proxy to understand human mobility dynamics, develop analytical services, and design mathematical models for simulation and what-if analysis. Unfortunately mobility data are very sensitive since they may enable...

Using Online Geotagged and Crowdsourced Data to Understand Human Offline Behavior in the City: An Economic Perspective
Yingjie Zhang, Beibei Li, Jason Hong
Article No.: 32
DOI: 10.1145/3078851

The pervasiveness of mobile technologies today has facilitated the creation of massive online crowdsourced and geotagged data from individual users at different locations in a city. Such ubiquitous user-generated data allow us to study the social...

Social Bridges in Urban Purchase Behavior
Xiaowen Dong, Yoshihiko Suhara, Burçin Bozkaya, Vivek K. Singh, Bruno Lepri, Alex ‘Sandy’ Pentland
Article No.: 33
DOI: 10.1145/3149409

The understanding and modeling of human purchase behavior in city environment can have important implications in the study of urban economy and in the design and organization of cities. In this article, we study human purchase behavior at the...

GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams
Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance Kaplan, Shaowen Wang, Jiawei Han
Article No.: 34
DOI: 10.1145/3066166

The real-time discovery of local events (e.g., protests, disasters) has been widely recognized as a fundamental socioeconomic task. Recent studies have demonstrated that the geo-tagged tweet stream serves as an unprecedentedly valuable source for...

illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems
Nikhil Muralidhar, Chen Wang, Nathan Self, Marjan Momtazpour, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
Article No.: 35
DOI: 10.1145/3066167

Cyber-physical systems (CPSs) are today ubiquitous in urban environments. Such systems now serve as the backbone to numerous critical infrastructure applications, from smart grids to IoT installations. Scalable and seamless operation of such CPSs...

Energy Usage Behavior Modeling in Energy Disaggregation via Hawkes Processes
Liangda Li, Hongyuan Zha
Article No.: 36
DOI: 10.1145/3108413

Energy disaggregation, the task of taking a whole home electricity signal and decomposing it into its component appliances, has been proved to be essential in energy conservation research. One powerful cue for breaking down the entire...

A Real-Time Framework for Task Assignment in Hyperlocal Spatial Crowdsourcing
Luan Tran, Hien To, Liyue Fan, Cyrus Shahabi
Article No.: 37
DOI: 10.1145/3078853

Spatial Crowdsourcing (SC) is a novel platform that engages individuals in the act of collecting various types of spatial data. This method of data collection can significantly reduce cost and turnover time and is particularly useful in...