Sustaining a dynamic economy relies heavily on transportation, especially the movement of heavy tractor-trailers, which serve as the lifeblood of our economy. Despite the challenges posed by the pandemic, freight transportation, fueled by increased demand from e-commerce and home deliveries, remains stable. However, this growth in heavy truck traffic, coupled with larger trucks carrying heavier loads, poses a significant risk to road safety, even during the pandemic, raises concerns about road safety.
BrTS not only damage infrastructure but also disrupt traffic and pose hazards to drivers and passengers. In Texas, the average annual repair cost from bridge strikes over the past 3 years has been $6.7 million, while in Virginia, bridge strikes have cost about $4 million since January 2018 (Bergal 2019). Nationally, the average number of bridge hits exceeds 15,000 per year, as recorded by the National Highway Traffic Safety Administration (NHTSA, n.d.). The Federal Highway Administration (FHWA) identifies bridge-vehicle collisions as among the most common causes of bridge failure (FHWA, n.d.-a). Despite technological advancements, such as unmanned vehicles and transportation automation, preventing BrTS remains a challenge. To address this, a comprehensive inventory of BrTS, risk assessments, data-driven solutions, and agency-wide strategies are essential.
Factors contributing to BrTS include aging infrastructure, also recognized as “functionally obsolete”, and the increase in fleet size and weight. As early as 1973, Hilton investigated crashes involving highway bridges in Virginia and listed “inadequate vertical clearance” as one of the key contributing factors (Hilton 1973). In the 80s, Shanafelt and Horn authored two NCHRP reports on damage evaluation and repair methods for prestressed concrete bridges and steel bridges, respectively (Shanafelt and Horn 1980; 1984). In the 90s, some state DOTs started to develop procedures and methods to quantify the vulnerability of bridges to collision damage, including the Collision Vulnerability Assessment Procedure (CVA) of New York State DOT (NYSDOT, 1995). Recent trends show an increase in bridge deficiencies, with 9.1% of the nation’s bridges being structurally deficient and 13.6% functionally obsolete (ASCE 2017). Another major contributor to BrTS is truck drivers’ risky behavior and errors, including inattentiveness, non-compliance with regulations, and inaccurate load measurements (FMCSA, n.d.). On the other hand, inadequate signage and route planning also contribute (Agrawal, Xu, and Chen 2011).
Our understanding of the problems and challenges has identified the following as keys to the proposed project’s success:
The overall goal is to develop tools that facilitate collecting, analyzing, and communicating BrTS data to help state DOTs, public safety agencies, and the motor carrier industry prevent and mitigate the risk of
BrTS by motor vehicles. Although vehicles of all sizes can strike a bridge/tunnel, a large vehicle (e.g., a truck or bus) will create far more damage than a smaller vehicle traveling at the same speed striking the structure in the same way. Therefore, this project focuses on trucks with the aim to accomplish the following objectives:
This research report describes the steps taken by the research team to develop the final guidebook and associated products for preventing and mitigating the risk of BrTS by motor vehicles, and to accomplish the previously described objectives. The outline of this research report is as follows: