Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems

Alireza Jolfaei; Varun G. Menon; Chen Lv; Ali Kashif Bashir; Yen Kheng Tan; Krishna Kant

doi:10.1109/JSEN.2021.3081195

Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems

Alireza Jolfaei, Varun G. Menon, Chen Lv, Ali Kashif Bashir, Yen Kheng Tan, Krishna Kant

School of Computing

Research output: Contribution to journal › Editorial › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	15425-15426
Number of pages	2
Journal	IEEE Sensors Journal
Volume	21
Issue number	14
DOIs	https://doi.org/10.1109/JSEN.2021.3081195
Publication status	Published - 15 Jul 2021

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Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems

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