Journal of Intelligent and Connected Vehicles: Volume 5 Issue 3 , Open Access

Time headway distribution analysis of naturalistic road users based on aerial datasets

Ruilin Yu, Yuxin Zhang, Luyao Wang, Xinyi Du

Time headway (THW) is an essential parameter in traffic safety and is used as a typical control variable by many vehicle control algorithms, especially in safety-critical ADAS and…

SOTIF risk mitigation based on unified ODD monitoring for autonomous vehicles

Wenhao Yu, Jun Li, Li-Ming Peng, Xiong Xiong, Kai Yang, Hong Wang

The purpose of this paper is to design a unified operational design domain (ODD) monitoring framework for mitigating Safety of the Intended Functionality (SOTIF) risks triggered…

Multimodal critical-scenarios search method for test of autonomous vehicles

Tianyue Feng, Lihao Liu, Xingyu Xing, Junyi Chen

The purpose of this paper is to search for the critical-scenarios of autonomous vehicles (AVs) quickly and comprehensively, which is essential for verification and validation…

Spatio-temporal heuristic method: a trajectory planning for automatic parking considering obstacle behavior

Nianfei Gan, Miaomiao Zhang, Bing Zhou, Tian Chai, Xiaojian Wu, Yougang Bian

The purpose of this paper is to develop a real-time trajectory planner with optimal maneuver for autonomous vehicles to deal with dynamic obstacles during parallel parking.

Investigating the effects of gradual deployment of market penetration rates (MPR) of connected vehicles on delay time and fuel consumption

Alireza Ansariyar, Milad Tahmasebi

This research paper aims to investigate the effects of gradual deployment of market penetration rates (MPR) of connected vehicles (MPR of CVs) on delay time and fuel consumption.

Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis

Quan Yuan, Xuecai Xu, Tao Wang, Yuzhi Chen

This study aims to investigate the safety and liability of autonomous vehicles (AVs), and identify the contributing factors quantitatively so as to provide potential insights on…

Optimal control of automated left-turn platoon at contraflow left-turn lane intersections

Hanyu Yang, Jing Zhao, Meng Wang

This study aims to propose a centralized optimal control model for automated left-turn platoon at contraflow left-turn lane (CLL) intersections.

Analyzing the inconsistency in driving patterns between manual and autonomous modes under complex driving scenarios with a VR-enabled simulation platform

Zheng Xu, Yihai Fang, Nan Zheng, Hai L. Vu

With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios.

Development and testing of an image transformer for explainable autonomous driving systems

Jiqian Dong, Sikai Chen, Mohammad Miralinaghi, Tiantian Chen, Samuel Labi

Perception has been identified as the main cause underlying most autonomous vehicle related accidents. As the key technology in perception, deep learning (DL) based computer…

Global path planning of unmanned vehicle based on fusion of A* algorithm and Voronoi field

Jiansen Zhao, Xin Ma, Bing Yang, Yanjun Chen, Zhenzhen Zhou, Pangyi Xiao

Since many global path planning algorithms cannot achieve the planned path with both safety and economy, this study aims to propose a path planning method for unmanned vehicles…

Intersection control with connected and automated vehicles: a review

Jiaming Wu, Xiaobo Qu

This paper aims to review the studies on intersection control with connected and automated vehicles (CAVs).

Revealing driver psychophysiological response to emergency braking in distracted driving based on field experiments

Ying Li, Li Zhao, Kun Gao, Yisheng An, Jelena Andric

The purpose of this paper is to characterize distracted driving by quantifying the response time and response intensity to an emergency stop using the driver’s physiological…

Less workplace parking with fully autonomous vehicles?

Stefan Tscharaktschiew, Felix Reimann

Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will…

Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction

Qiyuan Chen, Zebing Wei, Xiao Wang, Lingxi Li, Yisheng Lv

The purpose of this paper aims to model interaction relationship of traffic agents for motion prediction, which is critical for autonomous driving. It is obvious that traffic…

Behavioral adaptation of drivers when driving among automated vehicles

Maytheewat Aramrattana, Jiali Fu, Selpi

This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles (AVs) compared to driving among manually driven vehicles…

An enhanced eco-driving strategy based on reinforcement learning for connected electric vehicles: cooperative velocity and lane-changing control

Haitao Ding, Wei Li, Nan Xu, Jianwei Zhang

This study aims to propose an enhanced eco-driving strategy based on reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the connected…

The verbiage in variable message signs and traffic diversion during crash incidents

Sailesh Acharya, Michelle Mekker

WIth limited research on the effects of variable message sign (VMS) message content and verbiage on revealed driver behavior, this study aims to investigate how different verbiage…