A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Solving large scale linear prediction problems using stochastic gradient descent algorithms
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Proceedings of the fourth ACM conference on Recommender systems
Proceedings of the 13th international conference on Ubiquitous computing
Matrix factorization techniques for context aware recommendation
Proceedings of the fifth ACM conference on Recommender systems
On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks
IEEE Transactions on Intelligent Transportation Systems
Personalized driving behavior monitoring and analysis for emerging hybrid vehicles
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
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Urban transportation is increasingly studied due to its complexity and economic importance. It is also a major component of urban energy use and pollution. The importance of this topic will only increase as urbanization continues around the world. A less researched aspect of transportation is the refueling behavior of drivers. In this paper, we propose a step toward real-time sensing of refueling behavior and citywide petrol consumption. We use reported trajectories from a fleet of GPS-equipped taxicabs to detect gas station visits, measure the time spent, and estimate overall demand. For times and stations with sparse data, we use collaborative filtering to estimate conditions. Our system provides real-time estimates of gas stations' waiting times, from which recommendations could be made, an indicator of overall gas usage, from which macro-scale economic decisions could be made, and a geographic view of the efficiency of gas station placement.