AI-Enhanced Sensor Technologies for Traffic Safety and Intelligent Transportation Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 34
Special Issue Editor
Interests: smart wireless systems; mobile and edge computing; AI for networks and systems; software-defined networks; network security and privacy; Internet-of-things and smart city systems; vehicular networks; intelligent transportation systems; and location determination systems.
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid growth of urban populations and the increasing demand for efficient transportation networks have brought traffic safety and intelligent transportation systems (ITSs) to the forefront of modern infrastructure development. As cities strive to become smarter and more sustainable, advanced sensor technologies play a critical role in enhancing traffic safety, managing congestion, and improving the overall efficiency of transportation.
Traffic safety is a paramount concern in urban planning, with the aim of reducing accidents, fatalities, and injuries on the road. Advanced sensors provide real-time data that support a wide range of applications, including traffic monitoring, vehicle-to-infrastructure communication, autonomous driving, and the protection of pedestrians. By integrating sensor technologies with advancements in artificial intelligence (AI) and machine learning (ML), we can develop robust systems that significantly enhance the safety and efficiency of traffic.
AI and ML have the potential to transform ITSs by enabling the development of predictive analytics, real-time decision-making, and adaptive control mechanisms. These technologies can analyze vast amounts of data from sensors to identify patterns, predict traffic conditions, and implement proactive measures to mitigate risks and optimize traffic flow.
This Special Issue, entitled “AI-Enhanced Sensor Technologies for Traffic Safety and Intelligent Transportation Systems”, seeks to gather cutting-edge research and practical insights into the development, deployment, and evaluation of AI-driven sensor-based systems that have been designed to enhance traffic safety. We welcome submissions that explore novel sensor technologies, AI/ML algorithms, system designs, and applications focused on enhancing road safety and promoting intelligent transportation solutions.
The scope of this Special Issue includes, but is not limited to, the following:
- Advanced traffic monitoring and control systems;
- Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication;
- Autonomous and connected vehicle technologies;
- Pedestrian and cyclist safety systems;
- Intelligent traffic signal control and optimization;
- Real-time traffic data collection and analytics;
- Edge computing applications in transportation;
- AI and machine learning for traffic prediction and management;
- Sensor fusion and data integration for ITS;
- Environmental sensing for transportation applications;
- Cybersecurity and privacy in ITS;
- Energy-efficient sensor networks for transportation;
- Testbeds and experimental evaluations of ITS solutions;
- Smart parking systems and management;
- IoT applications for public transportation;
- Human factors and user interfaces in intelligent transportation systems.
We invite researchers and practitioners from academia, industry, and government to contribute their original research and review articles to this Special Issue. By sharing innovative approaches and practical solutions, we aim to advance the field of traffic safety and intelligent transportation systems, ultimately creating safer and more efficient urban environments.
Dr. Tamer M. Nadeem
Guest Editor
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
- traffic monitoring
- vehicle-to-vehicle
- V2V
- vehicle-to-infrastructure
- V2I
- autonomous and connected vehicles
- pedestrian and cyclist safety
- intelligent traffic
- traffic prediction
- smart parking
- intelligent transportation systems
