Abstract
New technologies have emerged to estimate the travel time on freeways by matching certain unique identifications of passing vehicles at different locations. These types of technologies share many similarities despite having different mechanisms. In this article, a generic method is presented to estimate freeway travel times using vehicle ID-matching technologies. In particular, the new method addresses two long-standing challenges: outlier screening and travel time estimation. Innovations include (1) using both statistical methods and traffic flow theory to screen outliers; and (2) accounting for mechanisms of various equipment measurement errors. The effectiveness of the proposed method is demonstrated using simulation and shown to be more accurate and responsive to travel time changes than methods based on the use of traditional inductive loops.
| Original language | English |
|---|---|
| Pages (from-to) | 351-365 |
| Number of pages | 15 |
| Journal | Computer-Aided Civil and Infrastructure Engineering |
| Volume | 31 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 1 2016 |
Bibliographical note
Publisher Copyright:© 2016 Computer-Aided Civil and Infrastructure Engineering.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Computational Theory and Mathematics