[HTML][HTML] Trajectory data-based traffic flow studies: A revisit
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …
A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
A clear understanding of car following behavior and microscopic relationships is critical for
advancing traffic flow theory. Without empirical microscopic data, plausible but incorrect …
advancing traffic flow theory. Without empirical microscopic data, plausible but incorrect …
On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications
In this research, we apply a new calibration approach to generate stochastic traffic flow
fundamental diagrams. We first prove that the percentile based fundamental diagrams are …
fundamental diagrams. We first prove that the percentile based fundamental diagrams are …
Review on car-following sensor based and data-generation mapping for safety and traffic management and road map toward ITS
As the number of technologies implemented in our daily life and rapidly deployed in the
transportation system continuously increases, the car-following model is crucial in the …
transportation system continuously increases, the car-following model is crucial in the …
Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM)
High-granularity vehicle trajectory data can help researchers develop traffic simulation
models, understand traffic flow characteristics, and thus propose insightful strategies for road …
models, understand traffic flow characteristics, and thus propose insightful strategies for road …
Using spatiotemporal stacks for precise vehicle tracking from roadside 3D LiDAR data
This paper develops a non-model based vehicle tracking methodology for extracting road
user trajectories as they pass through the field of view of a 3D LiDAR sensor mounted on the …
user trajectories as they pass through the field of view of a 3D LiDAR sensor mounted on the …
Automatic vehicle trajectory data reconstruction at scale
In this paper we propose an automatic trajectory data reconciliation to correct common
errors in vision-based vehicle trajectory data. Given “raw” vehicle detection and tracking …
errors in vision-based vehicle trajectory data. Given “raw” vehicle detection and tracking …
Spatiotemporal trajectory characteristic analysis for traffic state transition prediction near expressway merge bottleneck
Q Wan, G Peng, Z Li, FHT Inomata - Transportation Research Part C …, 2020 - Elsevier
The theoretical analysis of traffic flow with empirical vehicle trajectory data contained within
this study allows for the explanation, reconstruction, and prediction of spatiotemporal …
this study allows for the explanation, reconstruction, and prediction of spatiotemporal …
[HTML][HTML] Lane-level routable digital map reconstruction for motorway networks using low-precision GPS data
MA Arman, CMJ Tampère - Transportation research part C: emerging …, 2021 - Elsevier
The construction of routable digital maps based on trajectory data has attracted a lot of
attention, especially in recent years, with the ease and cheapness of collecting the required …
attention, especially in recent years, with the ease and cheapness of collecting the required …
Automatic vehicle-pedestrian conflict identification with trajectories of road users extracted from roadside LiDAR sensors using a rule-based method
B Lv, R Sun, H Zhang, H Xu, R Yue - Ieee Access, 2019 - ieeexplore.ieee.org
Vehicle-pedestrian conflicts have been the major concern for traffic safety. Surrogate safety
measures are widely applied for pedestrian safety evaluation. However, how to quickly …
measures are widely applied for pedestrian safety evaluation. However, how to quickly …