Call for Papers

Feature Topic on Human Driver Behaviours for Intelligent Vehicles

With the advancement of sensing, machine learning, and computing systems, automated driving applications have been growing rapidly worldwide. Together with the development of communication technologies such as dedicated short-range communication, extensively emerging intelligent vehicles have been developed to connect with vehicles, pedestrians, infrastructures, and clouds in the transportation network. Thus, intelligent vehicles have become intelligent mobile terminal that carries rich functions and services, which expand and deepen the scope of human-machine interaction between human drivers and intelligent vehicles in the intelligent cockpit. Human drivers are the center of intelligent vehicles. To make future vehicles trustworthy in driving safety, acceptable in social travel efficiency, and comfortable in the driving experience, developing technologies based on human drivers’ reliable knowledge and cognitive intelligence together with smart operation is an essential and promising solution. However, there are many challenges to be addressed including real-time human driver perception, adaptive regulation of inappropriate driving operation, safe and comfortable interaction between human drivers and intelligent vehicles intelligent cockpits, etc.

To alleviate these challenges, emerging technologies based on artificial intelligence are gradually becoming overwhelming in the related communities. This special issue aims to provide a platform for researchers, engineers, and policymakers to publish their latest research findings or engineering experiences in developing and applying novel technologies to address the challenges concerning human driver behaviours for intelligent vehicles. The potential topics of interest include, but are not limited to, the following:

l  Computational driver behaviour modelling

l  Abnormal driver behaviour detection

l  Driver-automation collaboration

l  Cognitive and affective computing

l  Driver skill learning and behaviour adaptation

l  Cognitive intelligence and driver social behaviours

Important Dates

Submission Deadline: May 31, 2023

First Round Decision Due: July 31, 2023

Final Manuscript Due: Nov. 1, 2023        

Guest Editors

Dr. Dongpu Cao, Professor, Tsinghua University, China

Dr. Argyrios Zolotas, Professor, Cranfield University, UK

Dr. Meng Wang, Professor, Technische Universit?t Dresden, Germany

Dr. Mohammad Pirani, Research Assistant Professor, University of Waterloo, Canada

Dr. Wenbo Li, Postdoctoral Research Fellow, Tsinghua University, China

Submission Guidelines

The paper submission & review process will be handled through Automotive Innovation

1.      Please submit online via www.springer.com/42154, be sure to select Topical Collection: Human Driver Behaviours for Intelligent Vehicles.

2.      Papers should be submitted in two separate .doc files: 1) Blinded Manuscript (paper title, abstract, keywords, and full text); 2) Title Page (paper title, author affiliation, acknowledgment, and any other information related to the authors’ identification).

3.      All manuscripts will be peer reviewed and evaluated based on quality, originality, novelty, and relevance to the topics.

4.      If any problems, please feel free to contact the journal editorial office via email: jai-editor@sae-china.org .

Click here to download Call for Papers.