With the popularisation of cars, traffic accidents occur every day. To improve driving safety and avoid accidents, an intelligent vehicle safety system based on BeiDou Satellite Navigation System is proposed. The system performs real-time monitoring of the status of surrounding vehicles. Therefore, potential accidents can be predicted and first aid can be carried out immediately after accident. Warning can also be sent to the neighbours through the Vehicle Ad-hoc Network. The intelligent system has four major functions: (i) Vehicle road imaging, which forms a real-time road map through monitoring the real-time status of the vehicle combined with the traffic conditions and prompts the dangerous road section. (ii) Dangerous driving behaviour rating assessment, which evaluates the behaviours of other vehicle drivers by expert system and reminds the driver to pay attention to such vehicles. (iii) Car accident early warning, providing a timely warning of the risk of car accident. (iv) Car accident alarm, which pushes message to the nearby vehicles once the accident occurred, and notifies the police and first aid unit through BeiDou short message if necessary. With the implementation of the system, most serious accidents can be avoided, and it can effectively improve traffic safety and reduce casualties and property losses.
Intelligent vehicle safety system based on BeiDou satellite navigation system
IET Intelligent Transport Systems ; 13 , 6 ; 967-974
2019-01-10
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
expert system , nearby vehicles , serious accidents , vehicle drivers , surrounding vehicles , traffic safety , Dangerous driving behaviour rating assessment , road traffic , driving safety , road vehicles , road safety , intelligent system , traffic accidents , real-time status , BeiDou Satellite Navigation System , intelligent vehicle safety system , roads , Car accident early warning , real-time monitoring , timely warning , potential accidents , real-time road map , BeiDou satellite navigation system , traffic engineering computing , Car accident alarm , Vehicle road imaging , road accidents
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