Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems
Open accessAbstract
The seamless integration of sensor technologies with the transportation infrastructure has leveraged the sensing and communication capabilities to achieve a sustainable intelligent transportation system through which safety, traffic control, and infotainment applications can benefit from multiple sensors deployed in different elements of the transportation system. Being one of the most active research fields in both academia and industry, sensor technologies enable various types of vehicular applications, such as autonomous driving, precise fleet management, intelligent traffic and congestion management, etc. A combination of low cost and reliable passive road sensors as well as traffic sensors (e.g., piezoelectric or magnetic micro-electro-mechanical system (MEMS) sensors) along with the IoT and fog computing provide an enormous potential for improving traffic efficiency, driving safety, and ride comfort.
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Darsena, D., Gelli, G., Iudice, I., & Verde, F. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3223297 · Cited by 71 · see citing works
- Authors
- Jolfaei, A., Menon, V. G., Lv, C., Bashir, A. K., Tan, Y. K., & Kant, K.
- Affiliations
- Macquarie University (AU)
- SCMS Group of Educational Institutions (IN)
- Nanyang Technological University (SG)
- Manchester Metropolitan University (GB)
- Agency for Science, Technology and Research (SG)
- Temple University (US)
- Venue
- IEEE Sensors Journal
- Published
- 2021-07-15
- Volume
- 21
- Issue
- 14
- Pages
- 15425-15426
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W3184348077
- Cited by
- 5
- References
- 0
- Citations by year
- 2023: 2 · 2022: 3
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- IEEE Sensors Journal (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Engineering › Civil and Structural Engineering › Transportation Systems and Logistics
- Physical Sciences › Engineering › Mechanical Engineering › Transport Systems and Technology
- Keywords
- intelligent transportation systems, sensor fusion, traffic sensors, piezoelectric sensors, MEMS sensors, Internet of Things, fog computing, autonomous driving, fleet management, traffic congestion management, driving safety, traffic efficiency
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