Improving traffic prediction with tweet semantics
Jingrui He, Wei Shen, et al.
IJCAI 2013
We present a novel and effective method for determining the placement of sensors so as to be able to satisfy probabilistic constraints on the time-to-detection of an incident. Indeed, with the wealth of real-time traffic data available today, an important new goal of intelligent traffic management systems is incident detection with time-to-detection guarantees, in particular on expressways with large distances between sensors. This goal drives investment decisions in new sensor deployment, hence making the topic a pressing need for traffic management. The method we provide makes use of a probabilistic formulation of traffic behavior and incident localization to determine the minimum spacing of sensors needed to achieve the time-to-detection goal with a specified probability.
Jingrui He, Wei Shen, et al.
IJCAI 2013
Illia Racunica, Laura Wynter
Transportation Research Part B
Zhen Liu, Vishal Misra, et al.
CCGrid 2004
Marc Jourdan, Sebastien Blandin, et al.
ICDM 2018