Information Management and Vehicle Scheduling for Intelligent Transportation Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 30 July 2025 | Viewed by 297
Special Issue Editors
Interests: collaborative perception vehicle networking for autonomous driving; machine learning and its application in wireless networks
Interests: construction and application of intelligent transportation knowledge graph under big data; traffic route planning; intelligent connected vehicle platoon control
Interests: optimization; big data analysis; urban traffic management; logistics management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are delighted to announce a Special Issue on "Information Management and Vehicle Scheduling for Intelligent Transportation Systems", which aims to explore cutting-edge advancements in intelligent transportation systems (ITSs).
The ever-developing information management technology in vehicular networks, including V2X communication, edge computing, and cloud cache, has great potential to enhance road safety, traffic efficiency, energy savings, and the driving experience of intelligent transportation systems. On the other hand, vehicle scheduling serves as another physical way to optimize road efficiency, which inevitably rearranges the information regarding traffic distribution. Therefore, ITSs can benefit from the optimization of information management and vehicle scheduling; more gain can be expected if the two aspects are considered jointly.
To this end, this Special Issue is dedicated to showcasing innovative research that addresses the challenges and opportunities of ITSs, particularly through the optimization of information management and vehicle scheduling. The particular topics of interest for this Special Issue include, but are not limited to, the following:
- Service offloading methods in transportation.
- Differentiated service scheduling in transportation.
- Cooperative communication among vehicles.
- Resource allocation and scheduling in UAV-assisted V2X networks.
- Distribution analysis of computing and communication resources in the Internet of Vehicles.
- Data-driven vehicle scheduling approaches.
- Vehicle route planning and scheduling in autonomous transportation systems.
- Advanced analytics and predictive modeling for vehicle scheduling.
- Dynamic vehicle scheduling algorithms.
- Green/sustainable transportation network optimization.
- Collaborative perception techniques assisted by V2X.
- High-accuracy PNT for autonomous driving.
- Low-earth-orbit satellite-assisted ITSs.
- Joint wireless resource allocation and vehicle scheduling.
- Joint optimization of V2X and vehicle control.
Dr. Chongtao Guo
Dr. Yun Meng
Dr. Hongguang Ma
Guest Editors
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. Sensors 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 2600 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.
Keywords
- service offloading methods in transportation
- differentiated service scheduling in transportation
- cooperative communication among vehicles
- resource allocation and scheduling in UAV-assisted V2X networks
- distribution analysis of computing and communication resources in the Internet of Vehicles
- data-driven vehicle scheduling approaches
- vehicle route planning and scheduling in autonomous transportation systems
- advanced analytics and predictive modeling for vehicle scheduling
- dynamic vehicle scheduling algorithms
- green/sustainable transportation network optimization
- collaborative perception techniques assisted by V2X
- high-accuracy PNT for autonomous driving
- low-earth-orbit satellite-assisted ITSs
- joint wireless resource allocation and vehicle scheduling
- joint optimization of V2X and vehicle control
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
