Smart Mobility: A Mobile Approach

被引:1
作者
Faria, Ricardo [1 ,2 ]
Brito, Lina [1 ,2 ]
Baras, Karolina [1 ,2 ]
Silva, Jose [1 ,3 ]
机构
[1] Madeira Interact Technol Inst, Polo Cient & Tecnol Madeira, P-9020105 Funchal, Portugal
[2] Univ Madeira, Campus Univ Penteada, P-9020105 Funchal, Portugal
[3] ISTAR IUL, Inst Univ Lisboa ISCTE IUL, Ave Forcas Armadas, P-1649026 Lisbon, Portugal
来源
INTELLIGENT TRANSPORT SYSTEMS, FROM RESEARCH AND DEVELOPMENT TO THE MARKET UPTAKE, INTSYS 2018 | 2019年 / 267卷
关键词
Internet of Things; Smart Cities; Smart Mobility; Mobile applications; Sensors; Traffic and road conditions; Route planning;
D O I
10.1007/978-3-030-14757-0_8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Internet of Things (IoT) is one of the key ingredients for the realization of Smart Cities. IoT devices are essential components of the Smart Cities infrastructure, as they can provide information collected from the environment through sensors or allow other systems to reach out and act on the world through actuators. IoT data collection, however, is not limited to sensors and machines, but to data from social networks, and the web. Social networks have a huge impact on the amount of data being produced daily, becoming an increasingly central and important data source. The exploitation of these data sources, combined with the growing popularity of mobile devices, can lead to the development of better solutions to improve people's quality of life. This paper discusses how to take advantage of the benefits of mobile devices and the vast range of information sources and services, such as traffic conditions, and narrow, closed or conditioned roads data. The proposed system uses a real-time collection, organization, and transmission of traffic and road conditions data to provide efficient and accurate information to drivers. With the purpose of supporting and improving traffic data collection and distribution, an Android application was developed to collect information about extraordinary events that take place in a city, providing warnings and alternative routes to drivers and helping them to improve their time management. The developed solution also exploits the existing gaps in other applications, implementing a more specific solution for the Madeira Island traffic condition problems.
引用
收藏
页码:95 / 112
页数:18
相关论文
共 27 条
[1]  
Aleta N.B, 2016, LIBRO ACTAS CIT2016
[2]   RoadSense: Smartphone Application to Estimate Road Conditions Using Accelerometer and Gyroscope [J].
Allouch, Azza ;
Koubaa, Anis ;
Abbes, Tarek ;
Ammar, Adel .
IEEE SENSORS JOURNAL, 2017, 17 (13) :4231-4238
[3]   UTravel: Smart Mobility with a Novel User Profiling and Recommendation Approach [J].
Amoretti, Michele ;
Belli, Laura ;
Zanichelli, Francesco .
PERVASIVE AND MOBILE COMPUTING, 2017, 38 :474-489
[4]  
[Anonymous], 2014, REV WORLD URB PROSP
[5]  
Bazzan A., 2014, Introduction to Intelligent Systems in Traffic and Transportation
[6]   Smart Mobility in Smart City Action Taxonomy, ICT Intensity and Public Benefits [J].
Benevolo, Clara ;
Dameri, Renata Paola ;
D'Auria, Beatrice .
EMPOWERING ORGANIZATIONS: ENABLING PLATFORMS AND ARTEFACTS, 2016, 11 :13-28
[7]  
Berlitz, 2014, BERL MAD POCK GUID
[8]  
Bhoraskar Ravi., 2012, 2012 4 INT C COMMUNI, DOI [DOI 10.1109/COMSNETS.2012.6151382, 10.1109/COMSNETS.2012.6151382]
[9]   Dynamic Congestion Analysis for Better Traffic Management Using Social Media [J].
Chatterjee, Sujoy ;
Mridha, Sankar Kumar ;
Bhattacharyya, Sourav ;
Shakhari, Swapan ;
Bhattacharyya, Malay .
PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS: VOL 2, 2016, 51 :85-95
[10]  
Eriksson J, 2008, MOBISYS'08: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS, AND SERVICES, P29