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Special Issue "Integrating Remote Sensing Data for Transportation Asset Management"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 3602
Special Issue Editors
Interests: spatio-temporal data mining; big data; graph data mining
Interests: remote sensing image processing and analysis; computer vision; pattern recognition; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: ITS; deep learning; machine learning; traffic big data
Interests: human mobility; spatio-temporal data; deep learning; ubiquitous computing
Special Issue Information
In the last decades, due to the development of global positioning and inertial units (GNSS/IMU), there emerges many technologies to acquire remote sensing data. Airborne LiDAR has been prevalent in 1970’s and 1980’s, besides, other alternative or complementary technologies has been also present at different scales, including airborne/shuttle/satellite radar, terrain laser scanning or photogrammetry from either photogrammetric or consumer grade cameras later. These remote sensing data acquired by different sensors and platforms exist in many forms, such as 3D point clouds and images, and they contain rich information about certain geographic locations, climate and environment. Particularly, with the use of these multi-sourced data, a lot of research and development could take place to improve the standard of the operation, like traffic planning, environment impact assessment, hazard and disaster response, infrastructure management, traffic assessment, and homeland security planning.
Remote sensing is an innovative science and technology that is aiding in numerous modes of transportation. Almost every aspect of transportation can benefit from utilizing imagery and data. Remote sensing provides unique ability to detect changes in our transportation system on a real-time bias. Integrate these multi-sourced and heterogeneous remote sensing data and extract useful information from them for specific tasks, such as transportation asset management and traffic flow prediction will make the lives of people much easier and convenient.
This Special Issue aims at studies covering the use of remote sensing data for transportation asset management. Topics may cover anything from the aspect of spatial temporal mining, remote sensing data integration and transportation asset planning and management. Hence, multi-sourced data integration (e.g. multispectral, hyper spectral, and thermal) and heterogeneous data integration (e.g. images and 3D point clouds) approaches or studies focus on transportation planning, congestion relief, asset management, among other issues, are welcome.
Articles may address, but are not limited, to the following topics:
- Terrain analysis
- Traffic flow estimation and prediction
- Traffic data integration
- Transportation anomaly detection
- Trafficability analysis
- Transportation asset planning and management
- Traffic accident detection
- Traffic congestion relief
- Transportation infrastructure
- Rural road discovery and management
- Availability of parking lots estimation
- Transportation network update
- Travel time estimation
Prof. Dr. Senzhang Wang
Prof. Dr. Zhenwei Shi
Dr. Yisheng Lv
Dr. Renhe Jiang
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- remote sensing
- traffic data integration
- anomaly detection
- trafficability asset management
- traffic flow prediction
- spectral and structural data fusion
- heterogeneous data fusion