Aims and Scope:
Autonomous vehicles mean that vehicles are capable of sensing their environment and moving with little or no human input. Compared to traditional human-driving vehicles, autonomous vehicles have the potential to reduce traffic accidents, traffic congestions, and fuel consumption. There is no doubt that the autonomous-driving is the future direction of intelligent transportation.
Big geospatial data mining plays a fundamental role in autonomous vehicles, which is helpful in acquiring the patterns of driving/travel behavior, human mobility, and traffic flow, and in sensing the environment and giving a traffic-aware navigation. Generally, geospatial data include road network data, digital elevation model (DEM) data, vehicle and human trajectory data, traffic flow data, traffic accident data, traffic satellite image data, and location-based social media data. The storage and deep mining of geospatial data face many challenges. In this special issue, we invite researchers to address the challenges on deep mining of big geo-social data for autonomous vehicles.
The list of possible topics include, but not limited to:
Deep understanding of big geospatial data
Big geospatial data preprocessing, including data cleaning, feature selection and extraction, data clustering, and map-matching.
Deep learning/reinforcement learning/federated learning on big geospatial data
Big geospatial data mining
Geospatial data driven autonomous vehicle applications
Deep understanding of traffic satellite images
Driving behavior analytics and prediction
Traffic flow/human mobility detection and prediction
Traffic-aware routing and navigation
Geospatial Crowdsourcing for autonomous vehicles
The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type “VSI: DMBGD-AV”. Please submit your manuscript before the submission deadline.
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV
Paper submission deadline: December 5, 2020
First notification: February 28, 2021
Revision: April 30, 2021
Final decision: June 30, 2021
Shuo Shang, UESTC, China, email@example.com
Jianbing Shen, Inception Institute of Artificial Intelligence, UAE, firstname.lastname@example.org
Dazhao Cheng, University of North Carolina, Charlotte, USA, email@example.com
Bin Yang, Aalborg University, Denmark, firstname.lastname@example.org
Panos Kalnis, KAUST, Saudi Arabia, Panos.email@example.com