New England Transportation Consortium

New England Transportation Consortium

Active

20-4 New England Connected and Automated Vehicle Legal and Regulatory Assessment

Project Objectives

The objectives of this project are to:

  1. Conduct a scan of similar efforts by national organizations such as AAMVA, AASHTO, TRB and industry groups to avoid duplication and to ensure other multi-state legal and regulatory issues are considered.
  2. Delve deeper into the details of related areas (see list below) to identify specific laws and regulations that may currently impede testing and deployment or would support successful testing and deployment if they were consistent across the region.
  3. Identify specific recommendations (such as definitions, statutory language recommendations, registration protocols, or liability standards) for consideration by the states for the highest priority legal and regulatory areas.

Technical Committee Members

  • TC Chair, Daniel Sullivan: Massachusetts Department of Transportation
  • Pete Calcaterra, Connecticut Department of Transportation
  • Kara Aguilar, Maine Department of Transportation
  • Kody McCarthy, New Hampshire Department of Transportation
  • Susan Klasen, New Hampshire Department of Transportation
  • Christos Xenophontos, Rhode Island Department of Transportation
  • Joe Segale, Vermont Agency of Transportation

AC Co-Liaison: Nicholas Zavolas, Massachusetts Department of Transportation
AC Co-Liaison: Emily Parkany, Vermont Agency of Transportation

Project Coordinator, Kirsten Seeber, CTC & Associates

20-3 Investigating Thermal Imaging Technologies and Unmanned Aerial Vehicles to Improve Bridge Inspections

Project Objectives

The overall research objective is to focus on developing UAV-based inspection and analysis protocols using infrared (IR) thermal imaging to determine the existence and extent of concrete delamination, with emphasis on the underside of bridge decks.  This objective will be realized by answering the specific questions:

  1. Can IR technology be used effectively to identify concrete delaminations, especially on the underside of bridge decks where the concrete surface thermal differences may be only subtle due to very little exposure to direct sunlight. What type of thermal resolution is required? Sensor images will need to be “ground-truthed” with actual measured delaminations from tried and true methods. Also is there sensor equipment that can be used in handheld operation and attached to drones for flight operations.
  2. What type of drone hardware, Camera Specifications, Camera Mountings and Testing Attachments would provide the most cost-effective benefit for each type of data capture?  This question will be answered through surveys and test trials of different UAVs.  For optimal information gathering, it is envisioned that several technologies will be concurrently employed, and a significant outcome of the work will be an assessment of the relative value and optimum combination of technologies. (e.g. drone and infrared imaging systems).
  3. What data storage and retrieval systems and hardware are required for managing and easily re-using the potentially enormous volume of digitized information captured?  Data storage and data transfer technologies make this a relatively simple problem. However, universal data sharing formats will need to be established early on.
  4. What software is available or will require development to efficiently process the captured data for human inspection and evaluation?  Many generic systems of machine learning (including computer vision) are available and as such it is relatively easy to develop and train prototype systems.  Once prototypes are tested, they can be turned into application-specific codes with an interface appropriate for field use.

Technical Committee Members

  • TC Chair, John “Sam” Maxim: Maine Department of Transportation
  • Vitalij Staroverov, Connecticut Department of Transportation
  • Bruce Sylvia, Massachusetts Department of Transportation
  • Nicholas Goulas, New Hampshire Department of Transportation
  • Colin Franco, Rhode Island Department of Transportation
  • Evan Robinson, Vermont Agency of Transportation

AC Liaison: Dale Peabody, Maine Department of Transportation

Project Coordinator, Maina Tran, CTC & Associates

20-2 Current Status of Transportation Data Analytics and A Pilot Case Study Using Artificial Intelligence (AI)

Project Objectives

The objectives of this research include: (1) reviewing the practices of all DOTs in the New England area and developing a comprehensive inventory of data, data needs, and data analysis practices related to traffic operations; (2) providing recommendations on how to better collect, reduce, achieve, and analyze the data to support DOT decision making and how DOTs should prepare for future transportation data collection and analytics considering emerging sensing and analytical technologies such as connected vehicles, loT, Machine Learning (ML) and AI; and (3) conducting a pilot case study of using AI techniques to automatically analyze specifically-identified operations data and perform a thorough evaluation of its capability to generate useful traffic operation and safety performance measures. This will demonstrate how advanced analytical techniques may extend the capability of traditional traffic sensors and produce additional useful information without expensive infrastructure investment.

Technical Committee Members

  • TC Chair, Susan Klasen: New Hampshire Department of Transportation
  • Ed Block, Connecticut Department of Transportation
  • Colby Fortier-Brown, Maine Department of Transportation
  • Chet Osborne, Massachusetts Department of Transportation
  • Chris Falcos, Massachusetts Department of Transportation
  • Sean Raymond, Rhode Island Department of Transportation
  • Tom Bushell, Rhode Island Department of Transportation
  • Ian Degutis, Vermont Agency of Transportation
  • Mandy White, Vermont Agency of Transportation

AC Liaison: Ann Scholz, New Hampshire Department of Transportation

Project Coordinator, Maina Tran, CTC & Associates

20-1 In-Service Performance Evaluation of NETC Bridge Railings

Project Objectives

The research objective will be to determine the in-service performance of the NETC bridge railings and transition systems based on the percentage of fatal and serious injury crashes and barrier penetrations. The evaluation should examine all NETC bridge railing sites constructed in each cooperating state. Construction records and bridge inventories will be reviewed to develop an inventory of NETC bridge railings. Crash data for five years (and more if possible) will be collected for all NETC bridge railings identified in the inventory. Traffic data (e.g., posted speed limit, AADT and percent trucks) will also be collected, if available, for each inventoried NETC bridge rail. The crash, inventory and traffic data will be merged into a single database and the fatal and serious injury proportions will be calculated for each type of NETC railing by a variety of potentially confounding factors (e.g., posted speed limit, vehicle type, highway facility type, percent trucks, etc.). Similarly, the crash records will be examined for any indication of bridge railing penetration or rollover. This study should be conducted using the now available NCHRP 22-33 Guidance for the conduct of ISPEs. NCHRP 22-33 (Collaborative Approach to In-Service Performance Evaluations) has outlined an approach to the conduct of ISPEs which uses crash data to mimic the MASH evaluation criteria, thereby providing a direct comparison of actual field performance to the MASH evaluation criteria. Further, the NCHRP 22-33 Guidance was developed with the intent of collaborating across state lines to conduct more robust ISPEs just as is being proposed herein.

Technical Committee Members

  • TC Chair, Jeff Folsom: Maine Department of Transportation
  • David Kilpatrick, Connecticut Department of Transportation
  • TBD, Massachusetts Department of Transportation
  • Chelsea Noyes, New Hampshire Department of Transportation
  • Chris Gagnon, Rhode Island Department of Transportation
  • Chris Mooney, Vermont Agency of Transportation

AC Liaison: Dale Peabody, Maine Department of Transportation

Project Coordinator, Kirsten Seeber, CTC & Associates

19-3 Experimental Validation of New Improved Load Rating Procedures for Deteriorated Unstiffened Steel Beam Ends

Project Objectives

In order to capitalize on the knowledge and methodology developed from ongoing research on new improved load rating procedures for deteriorated unstiffened steel beam ends, the structure of the proposed project will be designed accordingly. The research will identify and quantify the most common beam-end corrosion topologies across states in New England. The goal of this work is to enhance load rating methods for assessing corroded unstiffened beam ends to avoid overly conservative bridge posting recommendations. The new developed methods from ongoing research in the state of Massachusetts calculate more accurately the load carrying capacity. However, the wide application of the new procedures needs to be validated with experiments including several different configurations, beam sizes, corrosion shapes, and support conditions. Laboratory testing will validate and enrich the new procedures while providing valuable insight into the failure mechanisms that control these scenarios. Finally, finite element computational calculations will be calibrated using the produced experimental data from full-scale testing of the corroded beams.

Technical Committee Members

  • TC Chair, Matthew Weidele, Massachusetts Department of Transportation
  • Greg Funk, Connecticut Department of Transportation
  • Alan Farrington, Maine Department of Transportation
  • Nicholas Goulas, New Hampshire Department of Transportation
  • Join Poisson, New Hampshire Department of Transportation
  • Andrew Lemieux, Vermont Agency of Transportation

AC Liaison: Nicholas Zavolas, Massachusetts Department of Transportation

Project Coordinator, Kirsten Seeber, CTC & Associates

19-2 Multi-Scale Multi- Season Land-Based Erosion Modeling and Monitoring for Infrastructure Management

Project Objectives

The objective of this research project is to develop a slope stability model that will be used to create an effective multi-scale assessment toolkit that aids in monitoring, forecasting, and prioritizing areas of erosion and slope instability.

Technical Committee Members

  • TC Chair, Neil Olson: New Hampshire Department of Transportation
  • Sara Ghatee, Connecticut Department of Transportation
  • Kate Maguire, Maine Department of Transportation
  • Pete Connors, Massachusetts Department of Transportation
  • Callie Ewald, Vermont Agency of Transportation

AC Liaison, Ann Scholz, New Hampshire Department of Transportation

Project Coordinator, Maina Tran, CTC & Associates