Connected Vehicle Infrastructure University Transportation Center
The final report for Infrastructure Pavement Assessment Management Applications Enabled by the Connected Vehicles Environment – Phase I: Proof-of-Concept, submitted by Dr. Gerardo Flintsch and Dr. Brian L. Smith, has been released.
Report Abstract:
The objective of this project was to develop prototypes and conduct a field test of system level applications of a connected vehicle pavement condition measurement system. This allowed the research team to: (1) investigate different approaches to a connected vehicle pavement measurement system; and (2) determine the optimum procedures for collecting, processing, aggregating, and storing the data to support engineering and management decisions.
The study found that roughness measures obtained from probe vehicles are comparable to roughness measures obtained from the profile, when the appropriate parameters that affect roughness were taken into account. A sensitivity analysis suggested that data sampling and quarter-car parameters were the most critical parameters. Finally, the results of the network-level simulations showed that the probe vehicle vertical acceleration measurements (collected from a mobile smart phone application) have the potential to be used for network-level prescreening of deficient pavement sections.
Click here to learn more about this project and read the final report.
The final report for Safety and Human Factors of Adaptive Stop/Yield Signs Using Connected Vehicle Infrastructure, submitted by Alexandria M. Noble, has been released.
Report Abstract:
Un-signalized intersections create multiple opportunities for missed or misunderstood information. Stop sign-controlled intersections have also been shown to be a source of delay and emissions due to their frequent, often inappropriate use. By using connected vehicle technology, it is possible to place electronic stop signs at more conspicuous locations that can communicate with the in-vehicle systems. Then, if a conflict is imminent at an intersection, the vehicle’s system alerts the driver, thus reducing the probability of missed information, as well as decreasing the amount of unnecessary delay, fuel consumption, and emissions by only prompting a stop when a conflict is present. Before implementing any new technology, it is important to assess it from both a transportation engineering and human factors standpoint to determine the value of such a system.
The objective of this study was to assess perceived benefits of an adaptive in-vehicle stop display and to determine if there were any negative safety implications with the use of this system. This was accomplished through a test track experiment with 49 participants. These drivers were presented with a standard R1-1 stop sign on the in-vehicle display, as well as an experimental sign, which informed them to proceed through the intersection with caution. Results indicate the implementation of this technology reduces delay, decreases fuel consumption, and does not instigate any safety decrements.
Click here to learn more about this project and read the final report.
New CVI-UTC Research Projects Awarded:
To see all CVI-UTC awarded projects, please visit http://cvi-utc.org/awarded-projects/.
The mission statement of the Connected Vehicle/Infrastructure University Transportation Center (CVI-UTC) is to conduct research that will advance surface transportation through the application of innovative research and using connected-vehicle and infrastructure technologies to improve safety, state of good repair, economic competitiveness, livable communities, and environmental sustainability.
Dr. Thomas A. Dingus serves as the director for the CVI-UTC, as well as the director of the Virginia Tech Transportation Institute (VTTI) and the National Surface Transportation Safety Center for Excellence (NSTSCE). Prior to joining Virginia Tech, Dr. Dingus was founding director of the National Center for Transportation Technology at the University of Idaho and was an associate director of the Center for Computer-Aided Design at the University of Iowa. Dr. Dingus has more than 220 technical publications and has managed approximately $300 million in research funding to date ($130 million as principal investigator).
