Safety driven intelligent autonomous vehicle for smart cities using IoT. Issue 5 (7th December 2021)
- Record Type:
- Journal Article
- Title:
- Safety driven intelligent autonomous vehicle for smart cities using IoT. Issue 5 (7th December 2021)
- Main Title:
- Safety driven intelligent autonomous vehicle for smart cities using IoT
- Authors:
- Balachander, K.
Venkatesan, C.
R., Kumar - Abstract:
- Abstract : Purpose: Autonomous vehicles rely on IoT-based technologies to take numerous decisions in real-time situations. However, added information from the sensor readings will burden the system and cause the sensors to produce inaccurate readings. To overcome these issues, this paper aims to focus on communication between sensors and autonomous vehicles for better decision-making in real-time. The system has unique features to detect the upcoming and ongoing vehicles automatically without intervention of humans in the system. It also predicts the type of vehicle and intimates the driver. Design/methodology/approach: The system is designed using the ATmega 328 P and ESP 8266 chip. Information from ultrasonic and infrared sensors are analyzed and updated in the cloud server. The user can access all these real-time data at any point of time. The stored information in cloud servers is used for integrating artificial intelligence into the system. Findings: The real-time sensor information is used to predict the surrounding environment and the system responds to the user according to the situation. Practical implications: The system is implemented on embedded platform with IoT technology. The sensor information is updated to the cloud using the Blynk application for the user in real time. Originality/value: The system is proposed for smart cities with IoT technology where the user and the system are aware of the surrounding environment. The system is mainly concerned with theAbstract : Purpose: Autonomous vehicles rely on IoT-based technologies to take numerous decisions in real-time situations. However, added information from the sensor readings will burden the system and cause the sensors to produce inaccurate readings. To overcome these issues, this paper aims to focus on communication between sensors and autonomous vehicles for better decision-making in real-time. The system has unique features to detect the upcoming and ongoing vehicles automatically without intervention of humans in the system. It also predicts the type of vehicle and intimates the driver. Design/methodology/approach: The system is designed using the ATmega 328 P and ESP 8266 chip. Information from ultrasonic and infrared sensors are analyzed and updated in the cloud server. The user can access all these real-time data at any point of time. The stored information in cloud servers is used for integrating artificial intelligence into the system. Findings: The real-time sensor information is used to predict the surrounding environment and the system responds to the user according to the situation. Practical implications: The system is implemented on embedded platform with IoT technology. The sensor information is updated to the cloud using the Blynk application for the user in real time. Originality/value: The system is proposed for smart cities with IoT technology where the user and the system are aware of the surrounding environment. The system is mainly concerned with the accuracy of sensors and the distance between the vehicles in real-time environment. … (more)
- Is Part Of:
- International journal of pervasive computing and communications. Volume 17:Issue 5(2021)
- Journal:
- International journal of pervasive computing and communications
- Issue:
- Volume 17:Issue 5(2021)
- Issue Display:
- Volume 17, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 17
- Issue:
- 5
- Issue Sort Value:
- 2021-0017-0005-0000
- Page Start:
- 563
- Page End:
- 582
- Publication Date:
- 2021-12-07
- Subjects:
- IoT -- Ultrasonic sensor -- Autonomous vehicle -- Cloud server -- Infrared sensor
Ubiquitous computing -- Periodicals
Mobile computing -- Periodicals
Computer network protocols -- Periodicals
Computer network architectures -- Periodicals
Application software -- Development -- Periodicals
004.6 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?PHPSESSID=hprfp8ctb78gnbgodr3rkog6s0&id=ijpcc ↗
http://www.emeraldinsight.com/ ↗
http://www.troubador.co.uk/jpcc/ ↗ - DOI:
- 10.1108/IJPCC-10-2020-0182 ↗
- Languages:
- English
- ISSNs:
- 1742-7371
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.452750
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British Library STI - ELD Digital store - Ingest File:
- 20805.xml