Newest Lesson Learned Entries

Added: 06/07/2019

Provide commuters with predictive traffic measures to improve trip planning and reduce congestion during peak hours.

Santa-Clara County experience with intelligent traffic signals, real-time traffic data, intersection surveillance systems, and cloud technology with edge computing.

Added: 06/07/2019

Refine proper antenna placement on connected vehicles (particularly commercial vehicles) to reduce DSRC ‘shadow’ areas where DSRC signal is degraded.

Lessons Learned from the Design/Build/Test Phase of the USDOT’s Connected Vehicle Pilot Program.

Added: 06/06/2019

Infrastructure integrating the next generation internet standard (IPV6) is crucial to support the future growth of connected vehicle networks.

Lessons Learned from the Design/Build/Test Phase of the USDOT’s Connected Vehicle Pilot Program.

Added: 05/20/2019

In-vehicle work zone messages prove to be more effective than portable roadside dynamic message signs.

The University of Minnesota's Department of Mechanical Engineering tested several interfaces for relaying work zone messages to drivers including a roadside, portable changeable message sign, a smartphone presenting only auditory messages, and a smartphone presenting audio-visual messages.

Added: 05/20/2019

Early CV deployers must assess existing agency systems and networks as well as their change control procedures to accommodate the security needs of CV technology.

Lessons Learned from the Design/Build/Test Phase of the USDOT’s Connected Vehicle Pilot Program.

Added: 05/08/2019

NCHRP report presents and evaluates 18 different strategies for agencies to encourage CAV adoption.

The report sorts strategies into four different categories and discusses the strengths, weaknesses, and likely outcomes of each.

Added: 05/08/2019

Industry Experts Offer Recommendations for Enterprise-wide Security Controls for the Connected Vehicle Environment.

Report provides a series of lessons learned for developing security systems around Connected Vehicles.

Added: 05/06/2019

USDOT identifies ten characteristics that support an Integrated Corridor Management (ICM) approach to improving throughput and reducing congestion.

USDOT-developed fact sheet presents ten attributes of successful ICM sites and describes their importance for effective implementation.

Added: 05/06/2019

A simple decision tree model was preferred over more complex regression and neural network models when predicting winter road weather conditions in Iowa.

The Iowa DOT is developing an approach to leverage the data already collected from assets and vehicles with a focus on the I-80 corridor to predict winter road conditions using artificial intelligence (AI).