A self-driving car means that a car is capable of sensing its environment and moving with little or no human input. Compared to traditional human-driving cars, self-driving cars have the potential to reduce traffic accidents, traffic congestions, and fuel consumption. There is no doubt that the self-driving is the future direction of intelligent transportation.
Big geospatial data understanding plays a fundamental role in self-driving cars, 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 understanding of geospatial data face many challenges. In this special issue, we invite researchers to address the challenges on deep understanding of big geospatial data for self-driving cars.
The list of possible topics include, but not limited to:
Deep understanding of big geospatial data
Geospatial data preprocessing, including data cleaning, feature selection and extraction, data clustering, and map-matching.
Distributed and parallel computing for big geospatial data
Deep learning/reinforcement learning/federated learning on big geospatial data
Big geospatial data mining
Geospatial data driven self-driving applications
Deep understanding of traffic satellite images
Driving behavior analytics and prediction
Traffic flow/human mobility detection and prediction
Traffic-aware routing and navigation
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: DUBGD-SDC\” 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:
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal\’s homepage.
Paper submission period: December 31, 2019
First notification: April 30, 2020
Revision: June 30, 2020
Final decision: August 31, 2020
Dr. Shuo Shang, Lead Guest Editor
Senior Scientist, Inception Institute of Artificial Intelligence, UAE
Dr. Jianbing Shen,
Lead Scientist, Inception Institute of Artificial Intelligence, UAE
Prof. Ji-Rong Wen,
Dean and Professor, Renmin University, China
Prof. Panos Kalnis,
Professor, King Abdullah University of Science and Technology, Saudi Arabia