Abstract
The traditional adaptive cruise control system generally requires 25–40 km/h velocity to function. Moreover, the adaptive cruise control system cannot decelerate to the stop state, cannot adjust for stationary objects, and has limited scope of application. This study achieved the traffic jam tracking function of vehicles through the simultaneous use of millimeter wave and laser sensors and the analysis of the driving behavior of skilled drivers. The spacing and acceleration control of a vehicle is optimized based on the premise of ensuring safety and comfort by providing smooth, comfortable, safe, and radical control modes for driver selection, thereby increasing the probability that adaptive cruise control adopted by drivers. In addition, the collision avoidance function is added for safety reasons. Finally, actual vehicle experiments show that the distance and acceleration errors are in the expected range of errors of drivers. Moreover, the validity and practicability of the proposed adaptive cruise control algorithm are verified.
Highlights
The development of vehicle technology and transportation has resulted in vehicles becoming an indispensable part of the lives of people
The World Health Organization reported that the number of road traffic deaths reached 1.25 million globally in 2015 and road traffic injuries have been the first cause of death among young people aged 15–29 years old, and traffic accidents cost up to 3% of gross domestic product (GDP).[1]
Statistics indicates that man-made traffic accidents account for over 90% of all traffic accidents, over 70% of which are caused by human negligence
Summary
The development of vehicle technology and transportation has resulted in vehicles becoming an indispensable part of the lives of people. ACC can maintain the gradual acceleration and deceleration of a vehicle, while SG can provide an optimized energy saving control technology.[3] In addition, vehicles equipped with ACC and SG can maintain the appropriate spacing, thereby effectively improving road traffic.[4,5]. The control parameters of the hierarchical control structure are relatively fixed and cannot adapt to the external complications of a traffic environment This condition limits the application scope and reduces the usage rate of ACC. The sensor measurement data tend to have considerable volatility because the real traffic environment is often substantially complex, thereby causing immense difficulties to vehicle control, such as ground movement and large body vibration. The idea itself is very sensible and can effectively improve the safety of ACC vehicles under normal driving conditions This fixed distance is a bit large at low speed. The measured data likewise properly processed to approximate the actual driving state data
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