Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

作     者：Aldegheishem, Abdulaziz Yasmeen, Humera Maryam, Hafsa Shah, Munam Ali Mehmood, Amjad Alrajeh, Nabil Song, Houbing 

作者机构：King Saud Univ Coll Architecture & Planning Urban Planning Dept Traff Safety Technol Chair Riyadh 11574 Saudi Arabia COMSATS Univ Islamabad Dept Comp Sci Islamabad 45550 Pakistan Kohat Univ Sci & Technol Inst IT Kohat Kp 26000 Pakistan King Saud Univ Coll Appl Med Sci Biomed Technol Dept Riyadh 11633 Saudi Arabia Embry Riddle Aeronaut Univ Dept Elect Comp Software & Syst Engn Daytona Beach FL 32114 USA 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2018年第18卷第7期

页      面：1983-1983页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Deanship of Scientific Research  King Saud University through the Vice Deanship of Scientific Research 

主　　题：Intelligent Transportation System accident reduction VANETs 

摘      要：Traffic accidents have become an important problem for governments, researchers and vehicle manufacturers over the last few decades. However, accidents are unfortunate and frequently occur on the road and cause death, damage to infrastructure, and health injuries. Therefore, there is a need to develop a protocol to avoid or prevent traffic accidents at the extreme level in order to reduce human loss. The aim of this research is to develop a new protocol, named as the Traffic Accidents Reduction Strategy (TARS), for Vehicular Ad-hoc NETworks (VANETs) to minimize the number of road accidents, decrease the death rate caused by road accidents, and for the successful deployment of the Intelligent Transportation System (ITS). We have run multiple simulations and the results showed that our proposed scheme has outperformed DBSR and POVRP routing protocols in terms of the Message Delivery Ratio (MDR), Message Loss Ratio (MLR), Average Delay, and Basic Safety Message.