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Learn how IoT Applications in Smart Vehicles with advanced connectivity and real-time data insights.
What is IoT in automotive?
Automotive Internet of Things (IoT) is the integration of software and equipment (such sensors and GPS trackers) both inside and outside of automobiles. Real-time data from IoT applications using embedded solutions allows for more effective transport management and automobile production process optimisation. IoT in the automotive sector allows automakers to automate production procedures, employ IoT predictive maintenance to minimise downtime, and increase profitability. Similar to this, automotive AI enables enterprises like component manufacturers, fleet management firms, car rental companies, and suppliers to take use of AI-powered driving assistance, predictive maintenance, and direct car-to-car communication.
According to projections, the worldwide automotive IoT industry would grow from $131.2 billion in 2023 to $322.0 billion by 2028. Among the primary causes of this amazing growth are the following:
- More demands for cutting-edge comfort, convenience, and safety features in cars.
- Telematics’ growing relevance.
- Programs for user-based insurance.
Now, let’s examine the various justifications for IoT integration in the automobile industry and how it might help maintain competitiveness.
IoT Applications in Smart Vehicles
The concept of incorporating IoT into cars is far more expansive than simply linking automobiles to the internet. IoT improves several aspects of the automotive sector, such as data analytics, automation systems, sophisticated networking, and even the innovative creation of completely driverless cars. An overview of IoT Applications in Smart Vehicles is provided here.
Data Analytics
IoT data analytics for the automotive sector involves gathering and examining enormous volumes of data generated by connected cars and their environment. Decisions on vehicle performance, maintenance, and even driver behaviour can be made with the use of this information by manufacturers and service providers. Companies are able to anticipate possible malfunctions, maximise fuel efficiency, and develop customised services that are suited to the requirements of individual drivers by utilising data analytics.
Additionally, manufacturers can create cutting-edge features that satisfy consumer needs like enhanced connection and personalised entertainment with the use of predictive analytics.
Automation
Significant progress has been achieved in the automation of different automotive operations using the Internet of Things. Safety is improved and drivers experience less stress when highly complicated activities, such parallel parking or keeping a safe distance from other cars, may be automated. The development of autonomous driving in the future is evidently being aided by this deep integration of IoT technology.
Connectivity
In terms of connectivity, IoT is extremely active. It makes it possible for automobiles to easily connect to smart city infrastructure, cellphones, other automobiles, and household electronics. In terms of traffic control, collision prevention, and general driving experience improvement, the Vehicle-to-Everything (V2X) idea can be quite helpful.
Autonomous Vehicles
In order to gather, process, communicate, and fuse sensors in real time, autonomous or self-driving cars rely significantly on the Internet of Things. For safer and more effective mobility, IoT devices in these cars gather data to enable smooth navigation, predictive modelling, and vehicle-to-vehicle communication to avoid impediments.
Streamlined Manufacturing & Floor Management
IoT sensors and gadgets work in real time on production lines, precisely tracking inventory levels, monitoring machine performance, and evaluating production data.
Effective Fleet Management
IoT technology revolutionises transportation by detecting and monitoring cars in real time. Remote diagnostics, real-time location tracking, fuel management, and efficiency are benefits of IoT-enabled fleet management systems. DHL’s Smart Trucking service combines IoT sensors to deliver real-time fleet data, optimise scheduling, and improve route efficiency.
Real-Time Vehicle Telematics
TCUs connected to telematics devices or cloud-connected IoT boxes are a common automotive IoT use case. Real-time driver health, behaviour, and vehicle status data enhances productivity, safety, and cost. It allows fleet behaviour, traffic updates, parking availability, route optimisation, and vehicle movement tracking. Vehicle owners can use capabilities like remote speed limit controls, operation data access, and collision alerts for emergency personnel and other parties to remotely monitor their vehicles.
Infotainment
A center dashboard screen that houses the entertainment system is a characteristic of almost every new automobile offered. One thriving aspect of the Internet of Things in the automobile sector is the combination of linked cars and in-car entertainment. Many capabilities, including texting, calls, and speech-activated navigation, are available on infotainment systems, whether they are mobile-compatible (like Samsung’s Exynos Auto) or vehicle-specific (like Kia’s UVO). One example of the smooth connectivity that characterises the link between connected automobiles and entertainment systems is the integration of automotive audio systems with personal smart devices, such as Apple’s CarPlay.
The future of IoT in Automation?
Intelligent, secure, and networked systems will revolutionise transportation in the future with IoT in automobiles. It will improve traffic management and safety by enabling V2X communication between linked cars. IoT will enable automated driving, predictive maintenance, and personalised in-car experiences. Productivity will rise because to advanced infotainment systems, fleet management, and smart EV charging. However, cybersecurity measures will be needed to protect vehicle data. In the years to come, IoT will make driving safer, more effective, and more intelligent.
Read more on IoT Applications: Revolutionizing Smart Technologies