On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
By Vincenzo Punzo, Maria Teresa Borzacchiello, B. Ciuffo. 2011
468 citations recorded by the source corpus.
Subfields: Building and Construction, Control and Systems Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/cda4cabc934f7e3e302f94f88a7cd65a21405be2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Control and Systems Engineering
- Arne Kesting
- Martin Treiber
- Lizhe Li
- Stefanie Manzinger
- Markus Koschi
- Benjamin Coifman
- Matthias Althoff
- Dirk Helbing
In Transportation
- Arne Kesting
- Martin Treiber
- Lizhe Li
- Benjamin Coifman
- Dirk Helbing
- Szilárd Aradi
- Mohammad Saifuzzaman
- Zuduo Zheng
Citations in the corpus
- Microscopic Calibration and Validation of Car-Following Models – A Systematic Approach (2013, methodology): “Trajectory data such as these of the NGSIM project [11, 12] contain the dynamics of the positions (and lanes) of all vehicles in a given spatiotemporal region.”
- CommonRoad: Composable benchmarks for motion planning on roads (2017, background): “One of the most popular datasets of recorded traffic participants is from the Next Generation Simulation (NGSIM) program [10], [11].”
- A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset (2017, methodology): “Punzo et al. (2011) undertook an exhaustive search of various errors in the NGSIM data and their findings led to Montanino and Punzo (2015), which is one of the most thorough efforts to address NGSIM data quality.”