External Projects

Vehicle to Vehicle (V2V) Communication System for Real-Time Vehicle Navigation and Autonomous Driving

Developing an embedded system that enables inter-vehicular communication for real-time route guidance (RG). For efficient communication and to prevent data overflow, the RG algorithm only allows message exchange among vehicles within the so-called geo-fence regions, which are in the vicinity of the urban network intersections. The utilization of exchanged data among vehicles for real-time navigation and best route finding follows a specific protocol and screening conditions.  

The overall aim: vehicles make dynamic wireless data exchange with nearby vehicles to provide each other with information, such as safety warnings and traffic information.  

Special points of the study

System Features  

• Effective at various vehicular speeds (field-tested up to 100 km/hr) • Provides real-time route guidance to vehicles  
• Reduces travel time from source to destination  
• Pure decentralized system  
• No overhead in the network or data overflow  
• Minimal operational cost  
• Easy to integrate with any vehicle (just a cable connection) 

System Benefits  

• The system can handle many applications for safety and real-time navigation 
• It can be implemented in autonomous vehicles as well as conventional vehicles 
• The device can be equipped in any type of vehicle whether it s a bus, a car, etc. 
• It just needs a connection to the battery 
• It does not need all the vehicles to be equipped with this device. 

Methodology

• First Algorithm (Backward) Algorithm Criteria: A searcher vehicle and other vehicles traveling in the opposite direction (Origin of candidate vehicle must match with the destination of searcher vehicle). A short-range of communication is needed. 
• Second Algorithm (Forward) Algorithm Criteria: Vehicles traveling in the same direction & within a specific communication range (Passed through the same node & closer to the destination (candidate)).  
• Third Algorithm Development Algorithm Criteria: Both searcher and candidate vehicles must be inside the geo-fence range. The origin node of the candidate vehicle matches the destination node of the searcher vehicle. Searcher and candidate vehicles are traveling in opposite directions.

Main outcomes

• The system is fully developed, tested, verified, and are operational as prototype.  
• Simulation has been used extensively to test all elements of the system logic and to assess it in various driving conditions.  
• The simulation itself was even verified to ensure consistency in real situations.  
• The system effectiveness was assessed in various situations and mixed traffic operations through the I-SIM-S simulator. 

Level of Innovation  

• The system is truly a scientific and practical innovation (to the knowledge of the United Arab Emirates University team, there is no other system that currently exists and which provide the same functionalities). This is evident in the publications of the technology and the logic in top journals in the field. 
• This technology performs better and more accurate than other available centralized services such as Google maps.