Achintya Kundu, Pengqian Yu, et al.
EDGE 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.
Achintya Kundu, Pengqian Yu, et al.
EDGE 2022
Zhen Liu, Laura Wynter, et al.
Performance Evaluation
Roger Lederman, Laura Wynter
Transportation Research Part B
Diksha Gupta, Rhui Dih Lee, et al.
CAI 2024