Q2R: A Query-to-Resolution System for Natural-Language Queries
Shiau Hong Lim, Laura Wynter
NAACL 2022
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.
Shiau Hong Lim, Laura Wynter
NAACL 2022
Shiau Hong Lim, Yeow Khiang Chia, et al.
Transp. Res. Part C Emerg. Technol.
Marc Jourdan, Sebastien Blandin, et al.
CVPRW 2019
Jingfeng Zhang, Bo Han, et al.
IJCAI 2019