Our proposal is to introduce an optimal model for a new technique that allows the ability to make an interactive communication between intelligent self-driving cars (smart cars) and driver cars possible (V2V). Nowadays with different prototypes of smart cars, road intersection, is one of the issues that smart cars (cars that think) are facing. There are many proposals to solve this problem, one of the solutions is to deal with the smart car itself by stopping the car and checking the road intersection until it will find that the road is completely clear then it will move, like Google smart car. Of course, this is not an efficient way to deal with the problem because it will take a long time. Another proposal needs an intelligent transportation system to send instructions to all the cars within the intersection to control the traffic. Of course, intelligent transportation systems are essential and important to solve a problem like this but this means that intelligent types of equipment have to be installed all over the city and all the cars have to be intelligent. The transition from level 3 to level 5 can’t be reached unless it has to pass through a transition period especially with a presence of driver cars. So, some of the problems cannot be solved just by using smart cars alone or even with intelligent transportation systems. In fact, it needs farther than this, it needs an integration between the smart cars and driver cars. In this transition situation, smart cars and driver cars have some responsibilities to make this integration successful. The proposed technique empirically investigated, analyzed and verified to find the optimal case, acceptance and rejection indication, real-time complexity. The results performed by this technique demonstrated the robustness and reliability of this methodology for safety in the road intersection. © 2018 Institution of Engineering and Technology. All rights reserved.

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