Investigating the feasibility of smartphone based VANETs for forward collision detection
LE3 .A278 2021
Bachelor of Computer Science
Though a topic of heavy theoretical research, in the real-world Vehicle Ad Hoc Networking (VANET) faces one great challenge: lack of hardware adoption. There are few vehicles manufactured today that have the On–Board Units (OBUs) necessary for vehicular networking. Most cities around the world are not yet equipped with Road Side Units (RSUs), which are required in many VANET schemes for basic functionality. Current literature tends to assume that the existence of RSUs, OBUs and other network infrastructure will become commonplace in the near future. This is simply not feasible from a monetary and manufacturing perspective, especially for rural or poorer areas. In order to deal with this lack of hardware, new approaches must be considered. One possible approach is to use smartphones in place of dedicated OBU hardware. To this end, a basic platform for a smartphone–based peer–to–peer VANET system is explored . Surprisingly, no real–world applications have yet been tested on it. In order to investigate the effectiveness of this platform in a real–world scenario and whether this solution to the hardware problem is viable, a forward collision detection system was developed in Veins simulator . To test the feasibility of a smartphone VANET system in the real–world and demonstrate its feasibility, we utilized a real–world data gathered from published articles.
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