Big Data technology in traffic: A case study of automatic counters
| Title: | Big Data technology in traffic: A case study of automatic counters |
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| Authors: | Janković Slađana R., Mladenović Snežana A., Mladenović Dušan M., Zdravković Stefan S., Uzelac Ana R. |
| Source: | Tehnika, Vol 71, Iss 2, Pp 281-288 (2016) |
| Publisher Information: | Savez inženjera i tehničara Srbije, 2016. |
| Publication Year: | 2016 |
| Collection: | LCC:Engineering (General). Civil engineering (General) |
| Subject Terms: | Big Data, sensors, traffic counting, BI tools, geolocation of data, Engineering (General). Civil engineering (General), TA1-2040 |
| More Details: | Modern information and communication technologies together with intelligent devices provide a continuous inflow of large amounts of data that are used by traffic and transport systems. Collecting traffic data does not represent a challenge nowadays, but the issues remains in relation to storing and processing increasing amounts of data. In this paper we have investigated the possibilities of using Big Data technology to store and process data in the transport domain. The term Big Data refers to a large volume of information resource, its velocity and variety, far beyond the capabilities of commonly used software for storing, processing and data management. In our case study, Apache™ Hadoop® Big Data was used for processing data collected from 10 automatic traffic counters set up in Novi Sad and its surroundings. Indicators of traffic load which were calculated using the Big Data platforms were presented using tables and graphs in Microsoft Office Excel tool. The visualization and geolocation of the obtained indicators were performed using the Microsoft Business Intelligence (BI) tools such as: Excel Power View and Excel Power Map. This case study showed that Big Data technologies combined with the BI tools can be used as a reliable support in monitoring of the traffic management systems. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English Serbian |
| ISSN: | 0040-2176 2560-3086 |
| Relation: | http://scindeks-clanci.ceon.rs/data/pdf/0040-2176/2016/0040-21761602281J.pdf; https://doaj.org/toc/0040-2176; https://doaj.org/toc/2560-3086 |
| DOI: | 10.5937/tehnikal602281J |
| Access URL: | https://doaj.org/article/4a6eb02bde8846d09a644c01fbc862e5 |
| Accession Number: | edsdoj.4a6eb02bde8846d09a644c01fbc862e5 |
| Database: | Directory of Open Access Journals |
| ISSN: | 00402176 25603086 |
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| DOI: | 10.5937/tehnikal602281J |
| Published in: | Tehnika |
| Language: | English Serbian |