Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/11191
Title: A SAFETY-OVERTAKING ASSISTANT SYSTEM USING VANET
Other Titles: نظام مساعد للتخطي الآمن بإستخدام VANET
Authors: Hassan, Ammar Noureldien Bakri
SUPERVISOR - Izzaldien Mohammed Osman
Keywords: Computer Science
OVERTAKING ASSISTANT SYSTEM
A SAFETY
VANET
Issue Date: 1-Mar-2015
Publisher: Sudan University of Science & Technology
Citation: Hassan , Ammar Noureldien Bakri . A SAFETY-OVERTAKING ASSISTANT SYSTEM USING VANET / Ammar Noureldien Bakri Hassan ; Izzaldien Mohammed Osman .- Khartoum : Sudan University of Science & Technology , college of Computer Science , 2015 .- 65 p . ; ill . ; 28 cm .- M.Sc.
Abstract: Overtaking maneuver is the most dangerous road maneuver because of its serious consequences which causes vehicle damages, serious injuries and even life lost. The main motivation of this thesis is finding solution for the continuously increasing number of vehicle road accidents due to overtaking maneuver especially in high ways by developing safety application program that can assist drivers in overtaking maneuver. The safety-overtaking assistant will help the driver in such type of maneuver by informing him whether he/she can safely overtake or not. The safety-overtaking assistant application program will study all vehicles involved in the overtaking maneuver by knowing each vehicle velocity, acceleration, direction and distance between each vehicle and another. The overtaking decision will be taken carefully by using of mathematical equations that take in its consideration all safety aspects. In this research, the safety-overtaking assistant has been developed and tested using NCTUns VANET simulator. The testing results show that the application is working effectively as it should with zero mistakes or accidents. For future work, the safety-overtaking application program can be installed in real vehicle and tested in real environment.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/11191
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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