Internet of Things

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Introduction

Internet of things is one of technology which is facilitating the emergence of networked and Internet-connected vehicles. One of the new trends in vehicle industry is the emergence of proposed Google driverless car. Growth and development of technology in the automotive industry are forcing automakers and software developers to come up with vehicles that are purely automated through embedding of systems such as artificial intelligence. Other efforts noted with current automobile devices is support for cloud computing technologies. Many models of automated vehicles have been linked to different systems that facilitate vehicle traffic. Data and information among drivers and authorities have also achieved technology based applications such as radars. Control and fleet management in automobiles has greatly advanced with monitoring equipment, surveillance cameras as well as tracking equipment being installed in current vehicles.

Internet of Things Proliferation

IOT is the driving force catapulting current vehicle technology by linking all forms of hardware vehicle device with software and application interfaces that suit end user to interact with a vehicle. The automotive industry is adopting integration of vehicle sensors with artificial intelligence, big data analysis tools and cloud-computing repository areas (Evan, et al., 1999). The current vehicle can easily communicate with road signs through sensors enabled at dashboard area. Drivers can easily receive alert messages and information instantly while at motion. Various traffic control tools and monitoring devices facilitate easier coordination between drivers and traffic officials. The use of Radio Frequency Identification (RFID) equipment has enhanced easier control of traffic as well as congestion on roads (Evan, et al., 1999). Radar systems enable vehicles to exchange information through sending and receiving of traffic directives.

Integration of Wearable Devices

IOT has facilitated the integration of mobile devices such as iPhone, iPod, Smartphone and Google wristwatches to facilitate easier control, management, monitoring and tracking of vehicles (Evan, et al., 1999). Transport industries have connected their vehicles with handheld devices to facilitate easy control of fleet management operations as well as controlling of transportation of goods and services. Automobile industries have integrated standard platforms on vehicles to allow easy connection with mobile devices. Technology that implements artificial intelligence systems such as Driver Aid and Information Routing (DAIR) is one of application that improves driving experience trough providing information to drivers (Simon et al., 2015). DAIR provides real-time information to drivers about directions, current road conditions, accidents reports, and traffic. The application is capable of analyzing information within an ecosystem of about one kilometer. Accuracy and correctness of information gathered are highly reliable regardless of speed and topography of road.

Vehicle dashboards are fitted with Digital Communication Module (DCM), that acts as a phone being embedded on the vehicle and allow communication across different communication channels such as wireless, the wire connected systems and through satellite enabled communications. Communications between vehicles are enabled through DCM that uses cloud applications through Telemetric Service Provider (TSP). Wireless technology such as Bluetooth technology has facilitated the integration of different entertaining types of equipment such as Blackberry QNX, Google and Apple play devices (Simon et al., 2015). The partnership between vehicle manufacturers and software developers has led to the introduction of Google Android Auto vehicle operating system and Apple Car Play platform that enhance vehicle to access multiple online services. Google and Apple software provide multiple applications including the ability to have links and connection with World Wide Web. Searching, downloading files as well as accessing real-time services are encouraged with the current connected vehicle. Many real-time activities such as webinars, video conferencing as well video sporting can be streamed in real time in current IOT automated vehicles.

Combination of Technologies

Multiple connections of technologies have given rise to various types of new techno vehicles. The various types of technologies have been integrated to provide a driverless car. Most significant technology is support accrued by Global Positioning Systems (GPS) technologies. GPS technology supports navigation, directions, and routing (Simon et al., 2015). GPS technology is very significant in designing, development, and implementation of a driverless vehicle. Such vehicles are characterized by the presence of sophisticated sensors capable of detecting and sending signals to different locations. Visual technology has been developed and modified in current vehicles to enhance implementation of radar technology within the vehicle body. Vehicle manufacturers are integrating highly modified cameras with lidar, sonar and laser technologies to allow easy communication and monitoring of vehicles (Simon et al., 2015). The entire vehicle is viewed at all dimensions by sensitive cameras capable of viewing the vehicle at three dimensions and unidirectional view for detailed information. Vehicles are fitted with sophisticated tools for analyzing vehicles surroundings. They are also integrated with artificial intelligence systems that promote and facilitate self-learning, evaluation, and validation for effective decision making. Self-driven vehicles are integrated with tools and equipment for collecting and multiplying data to facilitate intellectual decision-making principles that involve collecting and processing information useful for taking actions involved in accelerating, braking, and steering (Evan, et al., 1999).

Google’s Self-Driving Car Project has no steering wheel and no pedals. The vehicle has full detecting sensors that can detect objects and steer around that accurately. Driverless car implements Google chauffeur artificial intelligence software. It has capabilities of a robot that can study object and analyze how they can behave. Through learning and perceiving how object intends to behave the car responds appropriately. It can learn, identify and obtain new information from the current situation. IOT has facilitated vehicle manufacturers and software developers to create prototypes of vehicles that can respond to stimuli, make decisions and apply most appropriate action that fits particular section of time (Fawzi, & Kwok, 2015). Factors such as timeliness, accuracy, and frequency of responses have highly been facilitated on current vehicles.

Benefits of Internet of things Vehicle Transformation

Business sectors shall enjoy effective and efficient operation of transactions, activities as well as across improved image of business. New technology shall facilitate Privacy, integrity, and integrity. Fleet management, transportation of commodities and vehicle owners shall enjoy security guaranteed by monitoring, tracking, and surveillance equipment or devices installed in vehicles (Simon et al., 2015).

Government shall benefit from having genuine, standardized, and road worthy vehicles using technologically advanced roads. Traffic cases shall reduce significantly and promote better methods of enforcing traffic policies. A collection of fines, taxes and subsidies shall be easy where such revenue shall be processed and facilitated by computerized equipment.

Municipalities will have the ability to regulate some vehicles as well as the speed at which vehicles should move. It shall be easy for authorities to enforce right standards for vehicles that support various industrial standards and protocols (Simon et al., 2015). Specific rules within vehicles can be recorded to ensure vehicles adhere to the quality required by country principles.

Customers shall have vehicles of their choice with characteristics and features that fit their standards. Users of vehicles shall benefit from having all rounded vehicle that has capabilities and potential of multitasking. Office work, as well as other online activities, shall be available in vehicles thus making it easy for users to use their vehicle for mailing, teleconferencing, multimedia applications, and entertainment. Time, energy, and resources shall be saved wi0th implementation and integration of all internet applications (Simon et al., 2015).Users shall have use case solutions that support drivers through the provision of advanced driver assistance systems, multilayered map technology for guidance, usage autonomous driving, as well as providing real-time insights and highlights about ground topology. Accidents cases will be minimized due to intellectual capabilities in the vehicle (Michael, 2015).

Conclusion

Current vehicle technology shall implement application stored in the cloud. Most systems running on automobiles rely on hybrid cloud and premise solutions. The software running on automobiles are open standards supported by industrial protocols and third parties. Internet of Things integrates core systems such as geospatial analytic tools within the connected vehicle. Other components linked on vehicles big data concepts, real-time data presentations, and 3-dimension capabilities of viewing. Environmental friendly vehicles which are easy to operate shall increase within the globe. User interfaces shall promote high-quality systems of communications between vehicles by applying instant electric signals to instruct drivers.

 

References

Evan H., Louis F. R., Peter S., &Steven W. (1999). Changing Channels In The Automotive Industry: The Future of Automotive Marketing and Distribution.

Fawzi B., & Kwok W. (2015). Collaborative Internet of Things (C-IoT): For Future Smart Connected Life and Business. USA: Willey

Michael M. (2015).The Internet of Things: How Smart TVs, Smart Cars, Smart Homes, and Smart Cities are Changing the World. USA: QUE

Simon N., Bharath G., Matthias von A., & Brenna S. (2015). The Internet of Things in automotive.

 

 



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