A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters
With trajectory data, a complete microscopic and macroscopic picture of traffic flow
operations can be obtained. However, trajectory data are difficult to observe over large …
operations can be obtained. However, trajectory data are difficult to observe over large …
A particle filter-based approach for vehicle trajectory reconstruction using sparse probe data
L Wei, Y Wang, P Chen - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Trajectory data collected from probe vehicles become increasingly important for urban traffic
operation and management. However, current data tend to be sparse in time and space due …
operation and management. However, current data tend to be sparse in time and space due …
Vehicle trajectory reconstruction for signalized intersections: A hybrid approach integrating Kalman Filtering and variational theory
Trajectory data provide a rich source of information on spatial and temporal speed
fluctuations of individual vehicles. To assemble a complete picture of traffic operations …
fluctuations of individual vehicles. To assemble a complete picture of traffic operations …
Learning traffic flow dynamics using random fields
This paper presents a mesoscopic traffic flow model that explicitly describes the spatio-
temporal evolution of the probability distributions of vehicle trajectories. The dynamics are …
temporal evolution of the probability distributions of vehicle trajectories. The dynamics are …
[HTML][HTML] An adaptive framework for real-time freeway traffic estimation in the presence of CAVs
MA Makridis, A Kouvelas - Transportation research part C: emerging …, 2023 - Elsevier
Advancements in sensor technologies, vehicle automation, communication, and intelligent
transportation systems create unforeseen possibilities for the development of novel traffic …
transportation systems create unforeseen possibilities for the development of novel traffic …
Traffic state estimation using stochastic Lagrangian dynamics
This paper proposes a new stochastic model of traffic dynamics in Lagrangian coordinates.
The source of uncertainty is heterogeneity in driving behavior, captured using driver-specific …
The source of uncertainty is heterogeneity in driving behavior, captured using driver-specific …
Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns
M Montanino, V Punzo - Transportation Research Part B: Methodological, 2015 - Elsevier
This paper shows that the behavior of driver models, either individually or entangled in
stochastic traffic simulation, is affected by the accuracy of empirical vehicle trajectories. To …
stochastic traffic simulation, is affected by the accuracy of empirical vehicle trajectories. To …
Vehicle trajectory reconstruction using automatic vehicle identification and traffic count data
The origin–destination (OD) matrix and the vehicle trajectory data are critical to
transportation planning, design, and operation management. On the basis of the deployment …
transportation planning, design, and operation management. On the basis of the deployment …
Vehicle path reconstruction using automatic vehicle identification data: An integrated particle filter and path flow estimator
Automatic vehicle identification (AVI) can provide partial vehicle path data by matching the
vehicle license plate on the detected links. However, the matched samples will rapidly …
vehicle license plate on the detected links. However, the matched samples will rapidly …
Traffic state estimation using floating car data
There is an increasing availability of floating car data both historic, in the form of trajectory
datasets and real-time, in the form of continuous data streams. This paves the way for …
datasets and real-time, in the form of continuous data streams. This paves the way for …