City-Scale Synthetic Individual-level Vehicle Trip Data

Trip data that records each vehicle's trip activity on the road network describes the operation of urban traffic from the individual perspective, and it is extremely valuable for transportation research. However, restricted by data privacy, the trip data of individual-level cannot be opened for all researchers, while the need for it is very urgent. In this paper, we produce a city-scale synthetic individual-level trip data by generating for each individual based on the historical trip data. The availability and trip data privacy protection are balanced during generation, making the synthetic dataset remains valuable and can be public. A series of experiments are done to verify the reliability of the dataset. The result shows that the synthetic data is consistent with the real data (i.e., historical data) on the aggregated level and reasonable from the individual perspective.