| ITS Deployment Evaluation

Lessons Learned: Infrastructure-Based Traffic Surveillance (TM01)

68 unique lessons found.

During system testing, CV Pilot sites discover the importance of having expertise in detecting and mitigating interferences with radio frequency and GPS signals

Date Posted: 03/21/2019 | Source Date:

Connected Vehicle Pilot Deployment Program Driving Towards Deployment: Lessons Learned from the Design/Build/Test Phase

12/14/2018

Greater adoption of CAV may result in long-term benefits but mid-term fluctuations for costs and congestion, according to predictive model.

Date Posted: 01/30/2019 | Source Date:

Implementation of Connected and Autonomous Vehicles in Cities Could Have Neutral Effects on the Total Travel Time Costs: Modeling and Analysis for a Circular City

01/12/2019

Emphasize data-driven mobilizations and incorporate Automated Speed Enforcement devices in vulnerable locations to minimize resource needs of speed-limit enforcement.

Date Posted: 01/25/2019 | Source Date:

Speeding Away from Zero: Rethinking a Forgotten Traffic Safety Challenge

01/21/2019

USDOT Identifies Effective Ownership and Governance Model Areas of Interest for a Full-Scale SCMS deployment for Connected Vehicles.

Date Posted: 01/24/2019 | Source Date:

Full-Scale Security Credential Management System (SCMS) Deployment Workshop Read Ahead

06/23/2018

RSU triangulation techniques and inertial GPS solutions can improve geolocation accuracy for connected vehicles operating in dense urban environments.

Date Posted: 05/08/2018 | Source Date:

Connected Vehicle Pilot Positioning and Timing Report: Summary of Positioning and Timing Approaches in CV Pilot Sites

01/26/2018

Perform early real-world testing of connected vehicle technology with actual infrastructure in place to verify end-to-end system/application performance

Date Posted: 04/19/2018 | Source Date:

Tampa (THEA) Pilot Update at the System Design Milestone webinar

10/03/2017

Collect traffic and travel time data from all traffic lanes because travel times can vary substantially between lanes.

Date Posted: 01/08/2018 | Source Date:

Work Zone Technology Testbed

02/02/2016

Invest in automated bicycle-pedestrian counters to both save time over doing manual counts and provide the ability to track continuous data over longer periods of time.

Date Posted: 08/30/2017 | Source Date:

FHWA Bicycle-Pedestrian Count Technology Pilot Project

12/02/2016

Deploy arterial travel time detection systems incrementally to allow time to identify issues and fine-tune performance.

Date Posted: 11/30/2014 | Source Date:

Travel Time on Arterials and Rural Highways: State-of-the-Practice Synthesis on Arterial Data Collection Technology

04/02/2013

Install detection sensors overhead on existing signal mast heads when possible, instead of using in-ground sensors to reduce both initial costs and maintenance costs.

Date Posted: 12/11/2012 | Source Date:

New York Minutes: NYC's Adaptive Congestion Management System

08/02/2012