Development and Testing of a Prototype Connected Vehicle Wrong-Way Driving Detection and Management System

2018Technical Report: April 2016-October 2017Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Project Title: Connected Vehicle Wrong-Way Driving Detection and Mitigation Demonstration-Phase IIPDFTech ReportFHWA/TX-18/0-6867-01-1Project 0-6867-01Wrong way drivingVariable message signsWrong-way countermeasuresWrong-way detection systemsConnected vehiclesDynamic message signsUnited StatesTexas A&M Transportation InstituteFinley, Melisa D. (Melisa Dayle)Chrysler, Susan T.Balke, Kevin N.Charara, Hassan A.Florence, David H.Rajbhandari, RajatMott, Cameron R.Sturgeon II, Purser K.Parish, Darin M.Texas A&M Transportation InstituteTexas. Dept. of Transportation. Research and Technology Implementation OfficeUnited States. Federal Highway AdministrationUS Transportation CollectionThe primary objective of Phase II was to develop a prototype connected vehicle wrong-way driving detection and management system at the Texas A&M University Respect, Excellence, Leadership, Loyalty, Integrity, Selfless Service (RELLIS) campus. The purpose of the prototype system was to test and fine-tune the system components and operations at an off-roadway, closed-course facility prior to installing them on an actual roadway. As part of the prototype development, the research team generated a detailed system design of the system based on requirements that were established in Phase I. The research team then procured the hardware components needed to build the prototype system. Furthermore, the research team developed detailed system architecture, integrated hardware and software components, performed validation testing, and conducted a demonstration of the system. In Phase II, the research team also conducted human factors studies to investigate the in-vehicle information needs of right-way drivers when a wrong-way driving event occurs. Researchers conducted a formal task analysis to identify critical stages where right-way drivers could make a better decision if information was provided to them through connected vehicle technology. Researchers then used structured interviews and surveys to identify the information needs of right-way drivers and evaluate comprehension and preference of message wording and timing. The research team recommends the installation of a model field deployment of the connected vehicle wrong-way driving system on State Highway 47 (in conjunction with the ongoing development of a smart connected corridor). This real-world application will allow researchers and the Texas Department of Transportation to further prepare for the approaching connected vehicle environment and its ability to improve wrong-way detection, more quickly notify public agencies and law enforcement, and alert right-way drivers