2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) 2018
DOI: 10.1109/ficloud.2018.00035
|View full text |Cite
|
Sign up to set email alerts
|

A Smart Winter Service Platform and Route Planning Algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(4 citation statements)
references
References 5 publications
0
4
0
Order By: Relevance
“…Embedded sensors in vehicles generate large amounts of floating car data (FCD: records of locations, and time-stamps registered during travel) and extended floating car data, which complements FCD with vehicular sensor data, often collected via on-board diagnosis interfaces (Erdelić et al, 2021;Voland & Asche, 2017). This can stimulate the development of smart vehicles able to transmit data for real-time analysis (Unal, Kocak, & Donmez, 2018) in large Internet of Vehicles applications (Zhong, Fang, & Zhao, 2013). The vehicle data can be used for vehicular crowdsensing, with applications in traffic speed estimation and flow prediction (Wang, Zhang, Shao, et al, 2016).…”
Section: Decisionmentioning
confidence: 99%
See 3 more Smart Citations
“…Embedded sensors in vehicles generate large amounts of floating car data (FCD: records of locations, and time-stamps registered during travel) and extended floating car data, which complements FCD with vehicular sensor data, often collected via on-board diagnosis interfaces (Erdelić et al, 2021;Voland & Asche, 2017). This can stimulate the development of smart vehicles able to transmit data for real-time analysis (Unal, Kocak, & Donmez, 2018) in large Internet of Vehicles applications (Zhong, Fang, & Zhao, 2013). The vehicle data can be used for vehicular crowdsensing, with applications in traffic speed estimation and flow prediction (Wang, Zhang, Shao, et al, 2016).…”
Section: Decisionmentioning
confidence: 99%
“…The first group of papers describes IoT applications containing massive data with spatial aspects. The papers in this group were distributed through many domains listed in RQ1, such as transport and traffic (Cao & Wachowicz, 2019;Coşkun, Çakır, & Anbaroğlu, 2020;Dao, Nguyen, Kiran, & Zettsu, 2020;Duan et al, 2020;Hu et al, 2021), smart cities (Anejionu et al, 2019;Kim et al, 2012;Rathore et al, 2016;Unal et al, 2018;Wen et al, 2016), logistics (Fernández et al, 2018;Finogeev et al, 2019;Li et al, 2015;Suárez et al, 2015) and smart environments (Antonić et al, 2016;Fang et al, 2014Fang et al, , 2015Fang et al, , 2017Terziyski, Tenev, Jeliazkov, Jeliazkova, & Kochev, 2020;Xuyao et al, 2013;Zou et al, 2021).…”
Section: G01 Iot Applications Using Big Data With Geospatial Dimensionsmentioning
confidence: 99%
See 2 more Smart Citations