Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data
Name
2305.15545v2.pdf
Description
Accepted version
Size
1.22 MB
Format
Adobe PDF
Checksum (MD5)
db0d51485bf8d06bec3f2c94d7d48aad
Author(s)
Huang, Yuzhu
Abdelhalim, Awad
Stewart, Anson
Zhao, Jinhua
Koutsopoulos, Haris
Date Issued
September 24, 2023
Publisher
IEEE
Citation
Y. Huang, A. Abdelhalim, A. Stewart, J. Zhao and H. Koutsopoulos, "Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data," 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 5247-5253.
Version
Author's final manuscript
Abstract
High-resolution location (“heartbeat”) data of transit fleet vehicles is a relatively new data source for many transit agencies. On its surface, the heartbeat data can provide a wealth of information about all operational details of a recorded transit vehicle trip, from its location trajectory to its speed and acceleration profiles. Previous studies have mainly focused on decomposing the total trip travel time into different components by vehicle state and then extracting measures of delays to draw conclusions on the performance of a transit route. This study delves into the task of reconstructing a complete, continuous, and smooth transit vehicle trajectory from the heartbeat data that allows for the extraction of operational information of a bus at any point in time into its trip. Using only the latitude, longitude, and timestamp fields of the heartbeat data, the authors demonstrate that a continuous, smooth, and monotonic vehicle trajectory can be reconstructed using local regression in combination with monotonic cubic spline interpolation. The resultant trajectory can be used to evaluate transit performance and identify locations of bus delays near infrastructure such as traffic signals, pedestrian crossings, and bus stops.
Description
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)24-28 September 2023. Bilbao, Bizkaia, Spain
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-Noncommercial-ShareAlike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/itsc57777.2023.10422524
