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Federal
Third Generation Simulation Data (TGSIM) I-395 Trajectories
Department of Transportation —
The main dataset is a 232 MB file of trajectory data (I395-final.csv) that contains position, speed, and acceleration data for non-automated passenger cars, trucks,... -
Federal
NYC CV Pilot IE Processed Data
Department of Transportation —
This is the EVENT data captured from the New York City CV Pilot project that was processed by the independent evaluators at Volpe. Additional data collected and data... -
Federal
Third Generation Simulation Data (TGSIM) I-90/I-94 Moving Trajectories
Department of Transportation —
The main dataset is a 130 MB file of trajectory data (I90_94_moving_final.csv) that contains position, speed, and acceleration data for small and large automated (L2)... -
Federal
Third Generation Simulation Data (TGSIM) I-90/I-94 Stationary Trajectories
Department of Transportation —
The main dataset is a 304 MB file of trajectory data (I90_94_stationary_final.csv) that contains position, speed, and acceleration data for small and large automated... -
Federal
Third Generation Simulation Data (TGSIM) I-294 L1 Trajectories
Department of Transportation —
The main dataset is a 70 MB file of trajectory data (I294_L1_final.csv) that contains position, speed, and acceleration data for small and large automated (L1)... -
Federal
Third Generation Simulation Data (TGSIM) Foggy Bottom Trajectories
Department of Transportation —
The main dataset is a 350 MB file of trajectory data (TGSIM-Foggy Bottom-Data.csv) that contains position, speed, and acceleration data for pedestrians, bicycles,... -
Federal
Third Generation Simulation Data (TGSIM) I-294 L2 Trajectories
Department of Transportation —
The main dataset is a 9 MB file of trajectory data (I294_L2_final.csv) that contains position, speed, and acceleration data for small and large automated (L2) and... -
Federal
New York City CV Pilot EVENT Data One Month Sample
Department of Transportation —
This dataset contains a one-month sample of flattened EVENT data records from the New York City (NYC) Connected Vehicle (CV) Pilot that have undergone obfuscation of... -
Federal
Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Northern Virginia (Radar Points)
Department of Transportation —
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 59 data... -
Federal
Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Northern Virginia (Instances)
Department of Transportation —
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 59 data... -
Federal
Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Radar Points)
Department of Transportation —
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 6 data... -
Federal
Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Runs)
Department of Transportation —
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 6 data... -
Federal
Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Northern Virginia (Runs)
Department of Transportation —
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 59 data... -
Federal
Enhancing Microsimulation Models for Improved Work Zone Planning: Car-Following Data from Western Massachusetts (Instances)
Department of Transportation —
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 6 data...