Published Online:June 2025
Product Name:The IUP Journal of Information Technology
Product Type:Article
Product Code:IJIT030625
DOI:10.71329/IUPJIT/2025.21.2.44-58
Author Name:Shayma Akbar and Mohammed Al-Musleh
Availability:YES
Subject/Domain:Engineering
Download Format:PDF
Pages:44-58
Autonomous vehicles need integration of various advanced features like adaptive cruise control, blind-spot monitoring, parking assistant and rear cameras, to progress towards higher levels of complete automation. An essential challenge for connected and autonomous vehicles is ensuring safety at intersections, where a large number of traffic collisions occur. The paper investigates the use of vehicle-to-vehicle (V2V) communication integrated with intersection movement assist (IMA) systems to improve intersection safety. Using MATLAB’s automated driving toolbox and Simulink’s driving scenario designer, an IMA simulation system was constructed to define intersection parameters and traffic conditions. Multiple scenarios, including restricted visibility and angled intersection approaches, were evaluated to assess the system’s ability to detect and respond to potential collision warnings effectively. The system displays warnings based on the likelihood of collision, and drivers are expected to take appropriate action based on these warnings to mitigate potential risks. This paper serves as a proof-of-concept, indicating the feasibility of implementing V2V-enabled IMA systems to improve intersection safety in semiautonomous and autonomous vehicle environments.
Creating a vehicular infrastructure that can ‘speak’ with fellow automobiles and ‘see’ beyond the human eye lends a safety net to supplement the development of selfdriving autonomous vehicles. Vehicle-to-vehicle (V2V) offers this security by allowing two traveling vehicles in vicinity of each other to communicate electronically even if their line-of-sight is blocked.