  Despite abundant accessible traffic data, researches on traffic flow
estimation and optimization still face the dilemma of detailedness and
integrity in the measurement. A dataset of city-scale vehicular continuous
trajectories featuring the finest resolution and integrity, as known as the
holographic traffic data, would be a breakthrough, for it could reproduce every
detail of the traffic flow evolution and reveal the personal mobility pattern
within the city. Due to the high coverage of Automatic Vehicle Identification
(AVI) devices in Xuancheng city, we constructed one-month continuous
trajectories of daily 80,000 vehicles in the city with accurate intersection
passing time and no travel path estimation bias. With such holographic traffic
data, it is possible to reproduce every detail of the traffic flow evolution.
We presented a set of traffic flow data based on the holographic trajectories
resampling, covering the whole 482 road segments in the city round the clock,
including stationary average speed and flow data of 5-minute intervals and
dynamic floating car data.
