Abstract
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.
Original language | English (US) |
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Pages (from-to) | 415-433 |
Number of pages | 19 |
Journal | EURO Journal on Transportation and Logistics |
Volume | 5 |
Issue number | 4 |
DOIs | |
State | Published - Dec 1 2016 |
Keywords
- Incident detection
- Macroscopic flow model
- Sensor placement
- Traffic flow
ASJC Scopus subject areas
- Modeling and Simulation
- Transportation
- Management Science and Operations Research