Chang'an University

Licheng Zhang

Xiangmo Zhao

Zhen Wang

Runmin Wang

Zhigang Xu

Pengpeng Sun

Nan Li

Siyuan Gong

Haigen Min

Xia Wu

Kang Sun

Yukun Ding

Guohui Zheng

Wenjing Wang

Congli Zhang

Jinchao Hu

Jiakai Yin

Hongda Chang

Xinxin Wang

Lu Zeng

Yuqian Ma

Yihan Sun

Xiaochi Li

Ze Li

A smooth cooperative lane change control method for multi-connected and autonomous vehicles (CAVs), including: acquiring vehicle information of a lane-changing vehicle M and four surrounding vehicles A, B, C and D; constructing uncontrolled-vehicle and controlled-vehicle motion state prediction models; according to the motion state prediction models, predicting motion states of the lane-changing vehicle M, and the vehicles A, B, C and D; constructing an upper-layer optimization model to calculate an optimal control value and an optimized motion state of the lane-changing vehicle M and an optimal control value of the vehicle A; constructing a lower-layer optimization model to calculate an optimal control value of the vehicle D; and controlling the lane-changing vehicle M, the vehicle A and the vehicle D to run according to a corresponding optimal control value.

Smooth cooperative lane change control method for multi-connected and autonomous vehicle (CAV)

The present disclosure discloses a method for Internet of Vehicles (IoV) electronic traffic sign information broadcast with Quality of Service (QoS) guaranteed mechanism based on conflict detection. Compared with the traditional WLAN applied in electronic traffic sign information broadcast, the present disclosure significantly reduces the information broadcast delay, and at the same time provide QoS guaranteed service for the information broadcast. It allows IoV, through distributed algorithm, to achieve the electronic traffic sign information broadcast with self-organization framework, short transmission delay and high efficiency.

Method for Internet of Vehicles (IoV) electric traffic sign information broadcast with Quality of Service (QoS) guaranteed mechanism based on conflict detection

Growing community of inventors

Xi'an, China

Licheng Zhang