Road Traffic Data: Collection Methods and Applications
By G. Leduc. 2008
451 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/938d8e55a4262a611e8b5979ae92e1f4b01074b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Timothy Hunter
- Anjan Rayamajhi
- M. Chowdhury
- P. Bhavsar
- Jim Martin
- Kakan C. Dey
- Pieter Abbeel
- Sergey Levine
Citations in the corpus
- The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data (2011, background): “However, despite their advantages, an important disadvantage for the widespread use of these data is that more advanced and sophisticated methods are needed to process the data and generate useful information, compared to traditional sensors (Leduc, 2008).”
- Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network – Performance evaluation (2016, methodology): “Historically infrastructure based sensors (e.g., inductive loop detector, video cameras, infrared sensors, blue-tooth) have been extensively used for traffic data collection (Leduc, 2008; Chowdhury and Wang, 2007).”