With the advent of machine learning, data analytics, cloud and edge computing, and rapid increase in the computational capabilities and progress in wireless communication, the traditional transport systems is fast transforming into an Smart or Intelligent Transport Systems (ITS). An efficient transport system is one of the cornerstones of smart cities and leads to the attainment of sustainable development goals. Along with the integration of electric vehicles and autonomous vehicles, the vision for an ITS is to provide a safe and comfortable travel which makes the optimum use of available resources along with reducing the carbon footprint. To achieve this vision, sensors play an important role. Thousands of in-vehicle and out-of-vehicle sensors are collecting vast amount of data and exchanging it through cloud computing to make the transportation system efficient. This also brings forth various challenges like the sensor fusion, data privacy, and the performance of sensors over a period of time under external conditions. This chapter provides an overview of various categories of sensors used in transportation system and electric vehicles. It also presents various impending challenges in sensor deployment.
An Overview of Sensors in Intelligent Transportation Systems and Electric Vehicles
Transactions on Computer Systems & Networks
AI Enabled IoT for Electrification and Connected Transportation ; Kapitel : 3 ; 61-73
2022-06-05
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Connected vehicles : intelligent transportation systems
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