Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies
By J. Ibáñez, Sherali Zeadally, Juan Contreras-Castillo. IEEE wireless communications, 2015
433 citations recorded by the source corpus.
Subfields: Building and Construction, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/aca8059854b85bef137ac4ded96f743a6b097d2d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Computer Networks and Communications
- Brij Bhooshan Gupta
- Sherali Zeadally
- Rasheed Hussain
- Juan Contreras-Castillo
- Tao Huang
- Renchao Xie
- Jun-feng Xie
- Tarik Taleb
In Electrical and Electronic Engineering
- Sherali Zeadally
- Rasheed Hussain
- Juan Contreras-Castillo
- Renchao Xie
- Brij Bhooshan Gupta
- Tarik Taleb
- F. Yu
- Sudip Misra
Citations in the corpus
- Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020, background): “…with devices such as radio frequency identification (RFID) tags and readers, sensor technologies, positioning systems and emerging technologies to collect information about road conditions, tra ffi c accidents, road repairs or the redesigning of avenues in the environment where they are placed [82].”
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “The most promising usage concerns smart home automation [55], Industrial Internet [36], intelligent transportation systems [56], smart energy [57], enhanced health-care services [58], and smart cities [59].”
- Sensor Technologies for Intelligent Transportation Systems (2018, background): “These principles will play a fundamental role in achieving the main objectives of the Intelligent Transportation Systems which include access and mobility, environmental sustainability, and economic development [4].”
- A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas (2017, background): “These rely on handoff mechanisms to switch communications methods [66], [67], or vehicles may communicate with one another directly with only the last node in a chain providing external connectivity [65], [68], e.”
- A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019, background): “Typically, an Internet of Things (IoT) architecture can provide different applications such as intelligent transportation systems [249], smart health-care [250], [251],”
- Internet of Vehicles: Architecture, Protocols, and Security (2018, background): “As a result of the integration of the IoT technology with intelligent transportation systems (ITSs), IoV will create an integrated network for supporting different functions (such as intelligent traffic management, dynamic information services, intelligent vehicle control, among others) [12].”
- Autonomous Cars: Research Results, Issues, and Future Challenges (2019, background): “Connected car technology [1] will play an important role in the commercialization of autonomous cars in the future.”
- Software-Defined Networking for Internet of Things: A Survey (2017, background): “Typically, an IoT architecture consists of several sensor and RFID nodes forming large-scale distributed embedded systems for different real-time applications such as smart health-care [6], [7], intelligent transportation systems [8], and smart energy systems [9]–[11].”
- Secure integration of IoT and Cloud Computing (2018, background): “Furthermore, a presentation and discussion about some of the integration challenges of Iot and Cloud Computing that must be addressed to enable an intelligent transportation system to address issues facing the transportation sector such as high fuel prices, high levels of CO2 emissions, increasing t”