A Social Internet of Things Smart City Solution for Traffic and Pollution Monitoring in Cagliari

被引:29
作者
Fadda, Mauro [1 ]
Anedda, Matteo [2 ,3 ]
Girau, Roberto [4 ]
Pau, Giovanni [4 ]
Giusto, Daniele D. [2 ,3 ]
机构
[1] Univ Sassari, Dept Biomed Sci, I-07100 Sassari, Italy
[2] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy
[3] UdR Cagliari, Natl Interuniv Consortium Telecommun, I-09123 Cagliari, Italy
[4] Univ Bologna, Dept Comp Sci & Engn DISI, I-40126 Bologna, Italy
关键词
Real-time systems; Sensors; Smart cities; Sensor systems; Data models; Vehicle dynamics; Traffic control; Data protection; devices tracking; environment monitoring; heterogeneous networks; smart city (SC); Social Internet of Things (SIoT); LIGHT CONTROL; FRAMEWORK; SYSTEMS;
D O I
10.1109/JIOT.2022.3211093
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the last years, the smart city (SC) paradigm has been deeply studied to support sustainable mobility and to improve human living conditions. In this context, a new SC based on the Social Internet of Things paradigm is presented in this article. Starting from the tracking of all vehicles (that is, private and public) and pedestrians, integrated with air quality measurements (that is, in real time by mobile and fixed sensors), the system aims to improve the viability of the city, both for pedestrian and vehicular users. A monitoring network based on sensors and devices hosted on board in local public transport allows real-time monitoring of the most sensitive areas both from traffic congestion and from an environmental point of view. The proposed solution is equipped with an appropriate intelligence that takes into account instantaneous speed, type of traffic, and instantaneous pollution data, allowing to evaluate the congestion and pollution condition in a specific moment. Moreover, specific tools support the decisions of public administration facilitating the identification of the most appropriate actions for the implementation of effective policies relating to mobility. All collected data are elaborated in real time to improve traffic viability suggesting new directions and information to citizens to better organize how to live in the city.
引用
收藏
页码:2373 / 2390
页数:18
相关论文
共 36 条
[1]   Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring [J].
Ali, Sharafat ;
Glass, Tyrel ;
Parr, Baden ;
Potgieter, Johan ;
Alam, Fakhrul .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
[2]   Toward Global IoT-Enabled Smart Cities Interworking Using Adaptive Semantic Adapter [J].
An, Jonggwan ;
Le Gall, Franck ;
Kim, Jaeho ;
Yun, Jaeseok ;
Hwang, Jaeyoung ;
Bauer, Martin ;
Zhao, Mengxuan ;
Song, Jaeseung .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (03) :5753-5765
[3]   Assignment of Sensing Tasks to IoT Devices: Exploitation of a Social Network of Objects [J].
Atzori, Luigi ;
Girau, Roberto ;
Pilloni, Virginia ;
Uras, Marco .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) :2679-2692
[4]   SIoT: Giving a Social Structure to the Internet of Things [J].
Atzori, Luigi ;
Iera, Antonio ;
Morabito, Giacomo .
IEEE COMMUNICATIONS LETTERS, 2011, 15 (11) :1193-1195
[5]   A Distributed Low-Cost Pollution Monitoring Platform [J].
Becnel, Thomas ;
Tingey, Kyle ;
Whitaker, Jonathan ;
Sayahi, Tofigh ;
Le, Katrina ;
Goffin, Pascal ;
Butterfield, Anthony ;
Kelly, Kerry ;
Gaillardon, Pierre-Emmanuel .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (06) :10738-10748
[6]   Large scale face identification by combined iconic features and 3D joint invariant signatures [J].
Cadoni, Marinella ;
Lagorio, Andrea ;
Grosso, Enrico .
IMAGE AND VISION COMPUTING, 2016, 52 :42-55
[7]   Iconic Methods for Multimodal Face Recognition: a Comparative Study [J].
Cadoni, Marinella ;
Lagorio, Andrea ;
Grosso, Enrico .
2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, :4612-4617
[8]   A Gain With No Pain: Exploring Intelligent Traffic Signal Control for Emergency Vehicles [J].
Cao, Miaomiao ;
Li, Victor O. K. ;
Shuai, Qiqi .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (10) :17899-17909
[9]   Internet of Things Mobile-Air Pollution Monitoring System (IoT-Mobair) [J].
Dhingra, Swati ;
Madda, Rajasekhara Babu ;
Gandomi, Amir H. ;
Patan, Rizwan ;
Daneshmand, Mahmoud .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (03) :5577-5584
[10]   Differential privacy: A survey of results [J].
Dwork, Cynthia .
THEORY AND APPLICATIONS OF MODELS OF COMPUTATION, PROCEEDINGS, 2008, 4978 :1-19