City-Scale Synthetic Individual-level Vehicle Trip Data

06/02/2022
by   Guilong Li, et al.
0

The trip data that records each vehicle's trip behavior on the road network describes the operation of urban traffic from the perspective of individuals and 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 regenerating for all individuals based on their historical trip data. The availability and trip data privacy protection are balanced during generation, making the synthetic dataset remains valuable and can be opened. A series of experiments were done to verify the reliability of the dataset. The result shows that the synthetic data is consistent with the real data at the aggregated level. Further, the trip behaviors of individuals indicated by the trip data from the individual perspective are reasonable.

READ FULL TEXT

page 9

page 11

page 15

research
02/19/2022

Urban Vehicle Mobility Characteristic Mining and Trip Generation Based on Knowledge Graph

The operation of urban transportation produces massive traffic data, whi...
research
04/25/2023

PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources

Historical systematic exclusionary tactics based on race have forced peo...
research
01/18/2021

Data Resource Profile: Egress Behavior from Select NYC COVID-19 Exposed Health Facilities March-May 2020

Vector control strategies are central to the mitigation and containment ...
research
04/30/2020

The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...
research
04/24/2020

Recovering individual-level spatial inference from aggregated binary data

Binary regression models are commonly used in disciplines such as epidem...
research
04/30/2021

Generalizing the normality: a novel towards different estimation methods for skewed information

Normality is the most often mathematical supposition used in data modeli...

Please sign up or login with your details

Forgot password? Click here to reset