Details:

Creators:
Saito, Mitsuru ; Forbush, Taylor
Saito, Mitsuru ; Forbush, Taylor Less -
Corporate Creators:
Brigham Young University. Dept. of Civil and Environmental Engineering
Corporate Contributors:
Utah. Dept. of Transportation. Research Division
Subject/TRT Terms:
[+]
Signalized Intersections Traffic Signal Timing Travel Time
Publication/ Report Number:
UT-11.05
Resource Type:
Tech Report
Geographical Coverage:
Utah
Corporate Publisher:
Utah. Dept. of Transportation
Abstract:
Currently there are several methods to measure the performance of surface streets, but their capabilities in dynamically estimating vehicle delay are limited. The objective of this research is to develop a method to automate traffic delay estimation in real-time using existing field traffic data collection technologies. This research has focused on method and algorithm development that can be applied to existing technologies. Two algorithms were developed to run automatically using Microsoft Excel and Visual Basic to calculate traffic delay from data collected from existing vehicle detection. The algorithms were developed using computer modeling software to simulate different lane configurations. The lane configurations tested were through-only lanes, through lanes with a midblock driveway, and through lanes with a turning bay. Different levels of volumes were simulated for each of the lane configurations. Results were promising for each lane configuration. The through-only configuration showed excellent results with maximum errors less than 3 seconds per vehicle for each test. The through lanes with the driveways test was evaluated using added detection at the driveway locations and no detection at the driveways. Results using the driveway sensors had 93 percent of the calculated average delays with less than 5 seconds per vehicle of error. Results without the driveway sensors had 84 percent of the calculated average delays with less than 5 seconds of error. Results for the turning bay configuration had 94 percent of the calculated turning bay results with less than 5 seconds per vehicle of error. It is recommended to conduct a hardware-in-loop analysis to make certain the algorithms developed in this study perform as expected in a dynamic operation.
Format:
PDF
Funding:
2676346
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:f62394005542dfd351dc0e88b613713ec959bf863c96f106a81b14a6b56f2484
Download URL:
https://rosap.ntl.bts.gov/view/dot/23095/dot_23095_DS1.pdf
File Type:

Supporting Files

• No Additional Files

More +