Of Vanet-based Collaborative Active Safety Technology

Automotive safety technology is divided into active safety and passive safety technology. Among them, the passive safety technology, based on crash safety as the central focus on the body after the car accident occurred on the protective effect of occupants; to collision warning as the center of the active safety technologies, focused on traffic crashes may occur before, to prejudge the dangers of moving vehicles there, and a variety of eye-catching way to alert pilots of the danger, to take effective means of control such as emergency braking, emergency steering to avoid major traffic accidents. While the two security technologies effectively reduce the occupants of the lives and property, but also far short of collision warning people requirements. In recent years, combined with wireless communication technology, automotive sensing technology, GPS collaborative active safety technology, has been more and more attention. Active safety technology through collaborative analysis of real-time vehicle driving around the state of security technology can provide more reliable than traditional security. In this paper, a collaborative initiative for vehicle safety and reliable communications technology in transport and other issues, the two parts of the following:(1)Build a data acquisition and wireless communications hardware prototype system is mainly used for traffic information collection, GPS positioning and anti-collision alarm HCI interface. Acquisition system is based on 32-bit ARM7TDMI-S processor LPC2103, Freescale MMA7260 triaxial accelerometer, EWTS82 angular velocity sensor, as the core chip development platform. Have completed the system design and debugging, basically meet the application requirements. (2) Presents a state-based security algorithms to determine the bandwidth of adaptive broadcast protocol used to solve the typical traffic scene of reliable and timely transmission of data, and the correlation algorithm simulation experiment. Simulation results show that the proposed algorithm effectively reduces the number of times to send information to reduce the network delay, making the network performance to better meet the needs of vehicle safety.