A Data-Driven Approach to Estimate Incident-Induced Delays Using Incomplete Probe Vehicle Data: Application to Safety Service Patrol Program Evaluation
This paper presents a data-driven approach to estimate incident-induced delays (IIDs) using probe vehicle data while accounting for missing data. The proposed approach is applied to evaluate the effectiveness of a safety service patrol (SSP) program. Existing data-driven methods for IID estimation u...
Saved in:
Main Authors: | Minsoo Oh, Jing Dong-O’Brien |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2023/3402853 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Queue Length Estimation Based on Probe Vehicle Data at Signalized Intersections
by: Huidan Luo, et al.
Published: (2023-01-01) -
Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols
by: Jinhwan Jang
Published: (2025-01-01) -
Corrigendum to “Data-Driven Prediction System of Dynamic People-Flow in Large Urban Network Using Cellular Probe Data”
by: Xiaoxuan Chen, et al.
Published: (2019-01-01) -
The biomechanics of the vagina: a complete review of incomplete data
by: Justin Dubik, et al.
Published: (2025-01-01) -
Effective Density-Based Clustering Algorithms for Incomplete Data
by: Zhonghao Xue, et al.
Published: (2021-09-01)