The automotive industry is constantly evolving, demanding advanced technologies for growth. Among these is cellular technology's long-term evolution (LTE), which 3GPP is pioneering to provide vehicle-to-everything (V2X) connectivity. It concentrates on vehicle-to-vehicle (V2V) direct communications, essential for safety applications like traffic management or infotainment. Something significant here is having a system that allows them to understand each other and cooperate. All vehicles should be able to do this by sending messages about what they are doing and where they are so that it will be safer for drivers moving through town where there may be several hurdles that break the signal lines or block them out completely. Still, before this goal can be reached, there is a need for clever ways of using packets to maximize radio channels while ensuring the service works correctly. This task poses a considerable challenge while constructing algorithms that can handle it, which is an open development question. To solve this development question, a simulator named LTEV2Vsim has been introduced. Written in MATLAB, this simulator uses straightforward models for managing vehicle movement or more complex ones based on realistic urban environment input files. This simulator is helpful for scholars interested in validating and designing LTE-V2V networks. The ability to simulate urban environment scenarios and give example results will help develop a better system for carrying packets and thus ensure that cooperative awareness services are successfully implemented in V2X communication.