In this chapter, we analyze the application of wireless sensor networks (WSNs) in intelligent transportation systems (ITS). Intelligent transport leverages information technology and intelligent means such as computers, sensors, and self-control technologies to achieve real-time automatic collection of traffic information. The integration of traffic signal control, traffic guidance, and intervention systems ensures orderly traffic operation through real-time supervision. As conventional detection technologies like microwave, video, and ultrasonic fail to meet modern ITS development needs, WSNs emerge as a critical solution. We explore the use of giant magnetoresistive sensors for magnetic-sensitive detection, which enhances the efficiency and intelligence level of ITS. WSNs enable real-time data collection and traffic monitoring, providing traffic managers with essential information to address road conditions promptly, optimize traffic signal control, and improve traffic flow. Additionally, WSNs facilitate intelligent traffic management and emergency responses, increasing safety and emergency handling efficiency. Intelligent navigation systems, based on WSN data, offer accurate road condition information, enabling better route planning and reducing traffic congestion and accidents. This paper highlights the potential of WSNs in transforming ITS and outlines the future research directions necessary for overcoming current challenges.
Analysis of Wireless Sensor Networks Applications in Intelligent Transportation System
Lecture Notes in Intelligent Transportation and Infrastructure
Driving Green Transportation System Through Artificial Intelligence and Automation ; Chapter : 19 ; 359-377
2025-01-12
19 pages
Article/Chapter (Book)
Electronic Resource
English
Wireless sensor , Intelligent transportation system , Berkeley , Traffic management , Traffic flow monitoring , Traffic signal control , MITuAMPs , InteliMote , TinyOS , YOLO , Radio frequency identification Engineering , Transportation Technology and Traffic Engineering , Artificial Intelligence , Control, Robotics, Mechatronics
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