Journal of Intelligent and Connected Vehicles: Volume 5 Issue 2 , Open Access

Evaluating the moderating effect of in-vehicle warning information on mental workload and collision avoidance performance

Chen Chai, Ziyao Zhou, Weiru Yin, David S. Hurwitz, Siyang Zhang

The presentation of in-vehicle warnings information at risky driving scenarios is aimed to improve the collision avoidance ability of drivers. Existing studies have found that…

FPGA accelerated model predictive control for autonomous driving

Yunfei Li, Shengbo Eben Li, Xingheng Jia, Shulin Zeng, Yu Wang

The purpose of this paper is to reduce the difficulty of model predictive control (MPC) deployment on FPGA so that researchers can make better use of FPGA technology for academic…

Traffic signal coordination control for arterials with dedicated CAV lanes

Liang Xu, Sheng Jin, Bolin Li, Jiaming Wu

This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.

Longitudinal control for person-following robots

Liang Wang, Jiaming Wu, Xiaopeng Li, Zhaohui Wu, Lin Zhu

This paper aims to address the longitudinal control problem for person-following robots (PFRs) for the implementation of this technology.

Merging control strategies of connected and autonomous vehicles at freeway on-ramps: a comprehensive review

Jie Zhu, Said Easa, Kun Gao

On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to…

Subjective assessment for an advanced driver assistance system: a case study in China

Di Ao, Jialin Li

This study aims to propose a novel subjective assessment (SA) method for level 2 or level 2+ advanced driver assistance system (ADAS) with a customized case study in China.

Optimal charging plan for electric bus considering time-of-day electricity tariff

Yuhan Liu, Linhong Wang, Ziling Zeng, Yiming Bie

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Battery electric buses charging schedule optimization considering time-of-use electricity price

Jia He, Na Yan, Jian Zhang, Yang Yu, Tao Wang

This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price.