Intelligent Blind Crossings for Suburban and Rural Intersections

Blind intersections have high accident rates due to the poor visibility of oncoming traffic, high traffic speeds, and lack of road infrastructure (e.g., stoplights). These intersections are more commonplace in rural and suburban areas, where traffic infrastructure is underdeveloped. The Internet of Vehicles (IoV) aims to address such safety concerns through a network of connected and autonomous vehicles (CAVs) that intercommunicate. This project proposes a lightweight road-side unit (RSU) tailored to rural and suburban areas, aiming to minimize visibility issues by facilitating communications across such intersections. This is accomplished through the creation of an RSU based on Software Defined Radio (SDR) and Field-Programmable Gate Array (FPGA) that utilizes an algorithm based on virtual traffic light methodologies. The components of the system will include: an FPGA with an adaptive virtual traffic light algorithm, a communication module to monitor inter-vehicular communication, and a solar power system to optimize power usage. The implementation of the proposed system will achieve a reduction in end-to-end delays. The main objectives of this proposal are threefold:

  1. to study the impact of non-visible communication on rural and suburban blind intersections;
  2. to design a hardware implementation of an adaptive virtual traffic light that integrates into the existing IoV; and
  3. to drive the reconfigurability of 2 using 1.
Principal Investigator: 
Dr. Shahab Tayeb
PI Contact Information:

California State University, Fresno

April 2023 to March 2024
Impacts/Benefits of Implementation: 

In blind intersections, vehicle on-board sensors will not have the necessary line of sight to detect vehicles that might be entering the intersection. The proposed system addresses this issue by utilizing a cost-effective lightweight roadside unit to facilitate communication between the vehicles at the blind intersection. The roadside unit needs to be cost-effective to justify placing them in remote locations where blind intersections are most common. It also needs to be lightweight to operate off the grid, e.g., via a solar panel, since grid connection in remote locations is less feasible. The roadside unit will use the 802.11p protocol to communicate with vehicles where it will receive location, speed, direction, and other such information from the vehicles. The unit uses this information to calculate future positions and send corresponding information to other vehicles in the area to warn or stop traffic to prevent collisions and coordinate safe routes through the intersection.

Project Number: 



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