U.S. Department of Transportation | Intelligent Transportation Systems Joint Program Office

All: Traffic Control

Displaying 308 result(s).

AI-based Traffic Management Pilot Program Implemented Near Las Vegas Contributed to a 17 Percent Reduction in Primary Crashes.

Date Posted: 11/24/2020 | Source Date:

Nevada DOT Shares Grant for AI-based Traffic Project

10/18/2019

The cost to equip 20 intersections with DSRC was estimated at $309,000 in Gwinnett County, Georgia.

Analysis of adaptive traffic signal timing tool based out of Houston shows annual operational savings of $578,000

Source Date:

Adaptive Control Software - LITE: Before and After Traffic Analysis Report, State Highway 6 - City of Houston, Texas

03/01/2006

More efficient adaptive signal timing settings do not always result in a lesser number of conflicts than pre-optimized signal timing settings

Source Date:

Enhancing Safety and Capacity in an Adaptive Signal Control System - Phase 2

07/01/2013

Dynamic turn restrictions can improve safety and efficiency at intersections with unconventional layouts, right-turn overlaps, emergency vehicle conflict concerns, and high pedestrian volumes.

Source Date:

NCHRP Synthesis 447: Active Traffic Management for Arterials

01/01/2013

New signal timing implemented by GDOT saved $449,069 in monthly delays, reduced weekday travel time by 21 percent, and reduced total congestion time by 6.5 hours daily.

Date Posted: 08/14/2020 | Source Date:

GEORGIA’S IMPROVED TSMO MATURITY DRIVES A SAFER AND MORE RELIABLE COMMUTE

01/31/2019

Flexibility, innovation, and coordination are important to creating a culture of success for traffic monitoring programs.

Date Posted: 05/20/2020 | Source Date:

Highway Traffic Monitoring - Understanding Tomorrow’s Problems to Better Serve the Public

04/27/2020

Adaptive signal control at Maine’s busiest intersection was estimated to reduce intersection delays by 20 percent.

Date Posted: 04/29/2020 | Source Date:

Portland Reduces Delays by 20% at Maine’s Busiest Traffic Intersection After Surtrac Deployment

03/18/2019

Model shows that deep learning can make traffic signals up to 75 percent more efficient.

Date Posted: 01/27/2020 | Source Date:

Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection

12/24/2019

Vehicle-to-vehicle (V2V) communications alone could provide enough information to replace or supplement existing traffic monitoring systems.

Date Posted: 12/23/2019 | Source Date:

Impacts Of Traffic Signal Controls On A Distributed Traffic Monitoring System Using V2V Communications: Final Report

09/01/2018